Skip to main content
ACS Omega logoLink to ACS Omega
. 2024 Jul 11;9(29):32033–32051. doi: 10.1021/acsomega.4c03837

Controls and Geological Significance of Macerals in Hybrid Shales: A Case Study on the Gaoyou Sag, Subei Basin, East China

Ya Zhao †,‡,§, Qianghao Zeng , Taohua He †,‡,*, Juan Teng ‡,*, Daxing Xiao , Shukun Yang , Xiaqi Zhang , Zhigang Wen ‡,*
PMCID: PMC11270570  PMID: 39072136

Abstract

graphic file with name ao4c03837_0014.jpg

In the Gaoyou Sag located within the Subei Basin, the hybrid shales from the second member of the Funing Formation (E1f2) have been identified as a prolific source of shale oil production, despite their characteristically low organic matter content (TOC < 1.5%). This observation suggests that specific macerals within these hybrid shales demonstrate a pronounced hydrocarbon generation potential, thus unveiling a new frontier for shale oil exploration endeavors. In this study, 16 samples were rigorously extracted from both mudstone and hybrid shale strata within the E1f2. An exhaustive suite of organic and inorganic geochemical analyses was conducted on these specimens. The analyses elucidated several key findings: (1) The maceral composition within the hybrid shales is predominantly comprised of alginite, solid bitumen, and inertinite. Remarkably, the variability of alginite content within the hybrid shales is more pronounced than that observed in high-TOC mudstones. High-TOC mudstones are characterized by a preponderance of lamalginite and a paucity of telalginite, leading to a diminished aggregate hydrocarbon potential. (2) Biomarker ratios (e.g., sterane/hopane, C23 tricyclic terpane/αβ C30 hopane, C24 tetracyclic terpane/C26 tricyclic terpane, etc.) suggest a primary derivation from lower aquatic organisms, with a secondary contribution from terrigenous organic matter within the hybrid shales. (3) The accretion of macerals is governed by an intricate set of factors, including the input of terrigenous detritus, paleosalinity, and paleoproductivity. (4) Alginite is identified as the principal constituent responsible for hydrocarbon genesis in hybrid shales. The proliferation of alginite facilitates the concurrent enrichment of shale oil and organic matter within the hybrid shales of the Subei Basin, illustrating a cooperative mechanism underlying the accumulation of shale oil and organic matter. This indicates that even hybrid shales with scant organic content exhibit considerable potential for shale oil exploration.

1. Introduction

The burgeoning demand for oil and gas, set against the backdrop of a pronounced supply demand disequilibrium, accentuates the critical necessity for the exploration of innovative resources. Within the domain of continental shale oil exploration in China, three principal source-reservoir paradigms have been identified, each characterized by distinct tectonic and sedimentary regimes, namely, the interlayered shale, hybrid shale, and clayey shale types.14 Among these typologies, hybrid shale has ascended as a pivotal element within the ambit of both domestic and international shale oil exploration and development endeavors. As a quintessential exemplar of the source-reservoir archetype, the paramount importance of hybrid shale is manifest across various geological formations, notably including the Shahejie Formation (members 3 and 4) within the Dongying-Zhanhua Sag from the Bohai Bay Basin, the Lucaogou Formation in the Jimsar Sag, and the Kongdian Formation (member 2) in the Cangdong Sag in China as well as the Eagle Ford Formation. These stratigraphic units have heralded initial successes in hydrocarbon yields.59

Lacustrine hybrid shale, distinguished by its marked heterogeneity, a broad spectrum of mineralogical compositions, and a significant content of carbonate rock minerals, is often considered a critical reservoir type. Previous research efforts have primarily focused on the analysis of mineral composition, the elucidation of structural features, and the dynamics of porosity within these formations.10 Intriguingly, the organic matter content in hybrid shale does not meet the conventional benchmarks traditionally postulated for the enrichment of shale oil resources, which stipulate that the TOC should exceed 2.0%, chloroform bitumen “A” should be greater than 0.4%, and S1 should surpass 2.0 mg/g. Moreover, the thresholds for hydrocarbon generation are characterized by a vitrinite reflectance (Ro) ranging between 0.7% and 1.1%.8,1013 During mid to low maturation phases, these shales display propitious oil-bearing properties yet exhibit diminished fluidity, frequently categorizing them as “ineffective” within the context of shale oil resources.1113

The recent success in extracting shale oil from the hybrid shales of the Funing Formation within the Gaoyou Sag of the Subei Basin, culminating in a production exceeding 10,000 tons from over five new wells, has ignited a burgeoning interest in hybrid shale as a potent source rock.2 This milestone raises pivotal inquiries regarding whether the extraction from low-TOC hybrid shale can be ascribed to a distinctive composition of hydrocarbon-generating elements, thus necessitating an in-depth exploration of the dynamics of organic matter enrichment. Numerous studies indicate that different types of macerals exhibit varying hydrocarbon potentials.1416 Alginite exhibits very high potential for oil and gas generation, whereas vitrinite and inertinite typically lack oil generation potential.1720 Therefore, determining the maceral composition of the hybrid shale in the Funing Formation of Gaoyou Sag is of great significance for the exploration and development of shale oil. Consequently, this investigation, with a focus on the Subei Basin, embarks on an exhaustive analysis incorporating total organic carbon (TOC), Rock-Eval pyrolysis, organic petrography, comprehensive major and trace element assessments, and gas chromatography–mass spectrometry (GC-MS) of saturated hydrocarbons. The aim is to delineate the maceral composition within hybrid shale, identify the primary factors driving enrichment, and discern their implications for the hydrocarbon potential and oil-bearing capacity. This endeavor seeks to provide a robust theoretical foundation for the prospective exploration of hybrid shales with low organic abundance.

2. Geological Setting

The Subei Basin, spanning an extensive area of 3.8 × 104 km2, stands as a distinguished Cretaceous-Neogene faulted basin and epitomizes the most expansive Mesozoic-Cenozoic basin located in the southeastern region of China.21 This basin, located within the terrestrial bounds of the Subei South-Yellow Sea Basin, is defined by the Subei Uplift to the north and the Lusu Ancient Land to the south. It is bordered on the west by the Tanlu Fault and on the east by the expanse of the South Yellow Sea Basin22,23 (Figure 1A). Structurally, the Subei Basin is segmented into three principal sections: the Yanfu Depression, the Jianhu Uplift, and the Dongtai Depression.23

Figure 1.

Figure 1

A) Geologic element division map for the Gaoyou Sag, Subei Basin. Adapted with permission from Gao et al.21 and Quaye et al.24 Copyright 2018 and 2022 Elsevier. B) Lithological column of E1f2 in Gaoyou Sag.

Nestled within the Dongtai Depression, the Gaoyou Sag spans an area of 2,670 km2, making it the most substantial subsidence center in the Subei Basin. Its development is credited to the rapid and continuous subsidence prompted by the Late Cretaceous Yizheng Movement and the Paleocene Wubao Movement. The stratigraphic sequence in this region exhibits Mesozoic-Cenozoic deposits with a cumulative thickness exceeding 7,000 m. The structural composition of the basin is uniquely defined, featuring a fault zone to the south, a central deep depression, and a northern slope, all aligned along a north–south axis. The fault system is primarily oriented along the northeast (NE), north–northeast (NNE), and east-southeast (ESE) directions, creating a configuration akin to a dustpan, characterized by a pronounced southern incline and a gentler northern slope. This structural arrangement is particularly advantageous for the development of secondary oil and gas reservoirs.21 Stratigraphically, Gaoyou Sag encompasses a sequence of formations extending from the Upper Cretaceous to the Quaternary period. This sequence includes the Cretaceous Taizhou Formation (K2t), the Paleogene Funing Formation (E1f), the Paleogene Dainan Formation (E1d), the Paleogene Sanduo Formation (E1s), the Neogene Yancheng Formation (N2y), and the Quaternary Dongtai Formation.23,26 The Paleogene Funing Formation, which represents the foremost exploration target, is distinguished by its considerable resource potential and favorable conditions for the accumulation of shale oil. This formation is stratified into four members in ascending order from bottom to top (E1f1–E1f4).23

This research concentrates on the second member of the Funing Formation (E1f2), renowned for its lacustrine sedimentary layers, predominantly consisting of gray-black shale. Additionally, this member is characterized by the localized presence of the oil shale and stratified carbonate rock interbeds. Remarkably, it is abundant in fossils, such as the Funing Chinese Venus and the Jiangsu Crown Charophyte, offering a crucial understanding of the environmental conditions favorable for the genesis and aggregation of shale oil and gas. The E1f2 is acknowledged as the primary hydrocarbon source rock series within the Subei Basin.21,22,24

3. Samples and Analytical Methods

3.1. Samples

In this study, a comprehensive collection of 16 core samples was scrupulously obtained from the mudstone and hybrid shale formations within the E1f2 section of Well Y1, situated in the Gaoyou Sag, Subei Basin. These specimens were meticulously extracted from stratigraphic depths extending from 3473.40 to 3711.50 m, as illustrated in Figure 1B. Each specimen was subjected to a comprehensive and intricate analytical regimen designed to illuminate its geochemical and petrological properties. This included the determination of TOC, Rock-Eval pyrolysis, and organic petrography. Additionally, an extensive evaluation of both major and trace elements was undertaken, augmented by the utilization of GC-MS for the analysis of saturated hydrocarbons. This multifaceted analytical approach was designed to yield a comprehensive understanding of the geochemical properties and hydrocarbon potential of the sampled formations.

3.2. Analytical Methods

3.2.1. Total Organic Carbon Content and Rock-Eval Pyrolysis

In the initial stage of sample preparation, 100 g of shale undergoes ultrasonic treatment in deionized water to facilitate the removal of surface clay. This is succeeded by a procedure entailing drying and then pulverizing the material to achieve a fine granularity of 200 mesh. A 100 mg portion of the resulting powder is then transferred into a crucible, and 5% hydrochloric acid is incrementally added dropwise until the cessation of foaming occurs. The sample is subjected to an acid bath for a duration of 4 h and subsequently rinsed multiple times with deionized water until it attains a neutral pH, thereby ensuring the elimination of inorganic carbon. The desiccated sample is then subjected to TOC analysis by using the LECO–CS230 analyzer. Furthermore, an additional 100 mg of sample is processed using Rock-Eval 6 pyrolysis to evaluate its potential for hydrocarbon generation.

3.2.2. Organic Petrography

In the preparatory phase for sample analysis, sample preparation followed standard organic petrography procedures25 The macerals of organic matter are identified and documented employing a Leica DM4500P microscope in conjunction with a Leica DFC 310 FX digital camera. Vitrinite reflectance (Ro) assessments are conducted using a Zeiss Photoscope III reflection microscope, which is interfaced with a TIDAS PMT IV photometric system. This measurement utilizes a 50× oil immersion objective lens at a wavelength of 546 nm. A sapphire standard, possessing a known reflectance of 0.589%, serves as the calibration reference. The procedure involves the measurement of 50 points to ascertain an average reflectance value.

3.2.3. Major and Trace Element Measurements

In this investigation, an X-ray fluorescence spectrometer (XRF) was utilized for the quantitative analysis of major elements. The process entailed several steps: (1) The powdered sample was dried in an oven at a stable temperature of 105 °C for 2 h to ensure complete dryness. Subsequently, a 0.5 g portion of this dried powder was accurately measured and placed into a diminutive crucible. (2) This portion was then subjected to calcination in a muffle furnace maintained at a constant temperature of 1000 °C for 1 h. The mass was measured postcalcination to ascertain the loss on ignition. (3) A concoction comprising the sample, a cosolvent, and an oxidizing agent was prepared in a platinum crucible and incinerated at 1100 °C, thereafter being allowed to cool to form a vitreous sheet for the analysis of major elements. Major element concentrations were determined by using a Thermo Scientific Fisher ARL 9900 X-ray fluorescence (XRF) spectrometer. Analytical precision was usually better than ±3%.

An Agilent 7700e Inductively Coupled Plasma Mass Spectrometer (ICP-MS) was employed for the analysis of trace elements, with the sample preparation process detailed as follows: (1) Sample powders with a granularity of 200 mesh were desiccated in an oven at 105 °C for 12 h. (2) A 50 mg sample was placed into a Teflon sample dissolving vessel. Subsequently, 1 mL of HNO3 and 1 mL of HF were sequentially added to the vessel, which was then securely sealed. (3) The sample-containing vessel was dried in an oven at 190 °C for 24 h. (4) The vessel was positioned on an electric heating plate set at 140 °C to evaporate the mixture to near dryness. Thereafter, 1 mL of HNO3 was reintroduced to the mixture and evaporated to near dryness once more, with the vessel remaining uncovered during this process. (5) An additional 1 mL of HNO3, 1 mL of MQ water, and 1 mL of an internal standard were added to the sample. The vessel was then returned to the oven and dried at 190 °C for 12 h. (6) The resultant solution was transferred into a polyethylene bottle and diluted with 2% nitric acid to a final volume of 100 g for analysis via ICP-MS. The accuracy of the elemental analysis was better than ±3%.

3.2.4. Gas Chromatography–Mass Spectrometry (GC-MS) Analysis of Saturated Hydrocarbons

The shale specimen is finely ground to a granularity of 100 mesh. Subsequently, a 20 g portion of this powdered sample undergoes Soxhlet extraction in a water bath for 72 h to derive a chloroform-soluble bitumen “A” organic extract. Following air drying, this extract is amalgamated with n-hexane and subjected to ultrasonication for 5 min, then left undisturbed for 12 h to facilitate the precipitation of asphaltenes. The resultant filtrate is further processed using column chromatography with a silica gel/alumina matrix at a ratio of 3:2, employing a sequence of elution steps with n-hexane, a dichloromethane/n-hexane mixture (1:2), and a dichloromethane/methanol mixture (93:7). This procedure effectively segregates the saturated hydrocarbons, aromatic hydrocarbons, and nonhydrocarbon fractions. The isolated saturated hydrocarbon fraction is subsequently analyzed with an HP Agilent 6890/5975 GC-MS system. Detailed descriptions of this methodology and the specific instrument settings have been elaborated in prior publications.27,28

4. Results

4.1. TOC and Rock-Eval Pyrolysis

The analytical results from the 16 samples indicate that the TOC content spans from 0.68% to 2.47% with an average of 1.24%. The mudstone samples demonstrate elevated TOC content, ranging between 2.39% and 2.47% and averaging 2.43%. Conversely, the hybrid shale specimens present a wider range of TOC values, from 0.68% to 2.46%, with an average of 1.24% (Table 1 and Figure 2).

Table 1. TOC and Rock-Eval Pyrolysis Data for Hybrid Shale and Mudstone from the Funing Formation in the Gaoyou Sag, Subei Basin.

no. depth (m) lithology TOC (%) S1 (mg/g) S2 (mg/g) S1+S2 (mg/g) free oil(mg/g) total oil(mg/g) Tmax (°C) HI(mg/g)
S-1 3473.40 mudstone 2.39 1.85 7.47 9.32 4.31 9.33 445 312.55
S-2 3482.22 2.47 4.41 9.20 13.61 10.25 15.17 445 372.47
S-3 3589.75 hybrid shale 0.68 0.35 1.17 1.52 0.82 1.56 439 171.55
S-4 3670.90 1.15 1.07 2.04 3.11 2.49 3.52 443 177.39
S-5 3674.78 1.01 0.66 2.56 3.22 1.54 3.24 438 253.47
S-6 3676.46 1.53 0.84 3.69 4.53 1.96 4.48 449 241.18
S-7 3680.47 1.39 0.39 3.97 4.36 0.91 3.93 444 285.61
S-8 3680.95 1.43 0.75 4.17 4.92 1.75 4.72 435 291.61
S-9 3683.65 2.46 0.74 9.23 9.97 1.72 8.85 437 375.20
S-10 3686.72 1.12 1.01 3.44 4.45 2.35 4.57 437 307.14
S-11 3688.46 0.90 5.37 1.01 6.38 12.51 10.12 429 112.22
S-12 3696.68 1.69 1.52 5.73 7.25 3.54 7.33 437 339.05
S-13 3697.40 1.06 0.46 2.08 2.54 1.07 2.50 441 196.23
S-14 3698.37 0.90 0.40 2.06 2.46 0.93 2.38 430 228.89
S-15 3701.35 1.10 0.43 2.37 2.80 1.00 2.69 442 215.45
S-16 3703.01 0.99 0.32 2.11 2.43 0.75 2.28 429 213.13

Figure 2.

Figure 2

Vertical variations in TOC, S1, S2, HI, Total oil, Free oil, and Ro data for both the hybrid shale (3–16) and mudstone (1–2) from the Funing Formation in the Gaoyou Sag, Subei Basin.

Rock-Eval pyrolysis results demonstrate that the free hydrocarbon content (S1) across these samples fluctuates from 0.32 to 5.37 mg of HC/g of rock, averaging 1.29 mg of HC/g of rock. Specifically, S1 in the mudstone samples ranges from 1.85 to 4.41 mg of HC/g of rock (average 3.13 mg of HC/g of rock), while hybrid shale samples varied from 0.26 to 5.37 mg of HC/g of rock (average 1.02 mg of HC/g of rock). The pyrolysis hydrocarbon content (S2) spans from 1.01 to 9.23 mg HC/g rock (average 3.89 mg HC/g rock). Specifically, mudstone samples have an average of 8.34 mg HC/g rock, whereas hybrid shale samples hold an average of 3.26 mg HC/g rock. The Hydrogen Index (HI) values range from 112 to 375 mg HC/g rock, averaging 256 mg HC/g rock (Table 1 and Figure 2).

4.2. Organic Petrological Characteristics of Organic Matter

The organic constituents identified within the analyzed samples predominantly comprised alginite, solid bitumen, vitrinite, and inertinite (Figure 3). Alginite emerges as the chief maceral, particularly within the context of mudstone, where it constitutes approximately 80–83 vol %. The proportion of alginite within hybrid shales exhibits notable variability, extending from 15 to 88 vol %, with a mean value of 56.8 vol % (Table 2). Conversely, the prevalence of vitrinite, solid bitumen, and inertinite within mudstone samples is comparatively modest, averaging 9.5, 5.0, and 4.0 vol %, respectively. In contrast, hybrid shale samples manifest a relatively elevated concentration of vitrinite and solid bitumen, averaging 15.3 and 16.6 vol %, respectively. Among the analyzed macerals, inertinite exhibits the lowest average concentration, at 11.3 vol % (Table 2).

Figure 3.

Figure 3

Macerals composition diagram of hybrid shale and mudstone from the Funing Formation in the Gaoyou Sag, Subei Basin.

Table 2. Macerals Composition of Hybrid Shale and Mudstone Within the Funing Formation in the Gaoyou Sag, Subei Basin.

  mudstone
hybrid shale
  min. max. avg. min. max. avg.
macerals %(v/v) for macerals
alginite 80 83 81.5 15 88 56.8
vitrinite 8 11 9.5 4 35 15.3
solid bitumen 4 6 5.0 2 35 16.6
inertinite 3 5 4.0 3 55 11.3

The organic matter in the samples predominantly comprised alginite, solid bitumen, vitrinite, and inertinite (Figure 3). Alginite is the predominant maceral, particularly in mudstone, where it accounted for 80–83 vol %. The alginite content in hybrid shales exhibits notable variability, extending from 15 to 88 vol %, with an average of 56.8 vol % (Table 2). Vitrinite, solid bitumen, and inertinite in mudstone is comparatively modest, averaging of 9.5, 5.0, and 4.0 vol % respectively. The content of vitrinite and solid bitumen in hybrid shale is relatively high, with an average of 15.3 vol % and 16.6 vol %. Among the analyzed macerals, inertinite exhibits the lowest average content, with an average of 11.3 vol % (Table 2).

Under oil-immersion reflected light, alginite manifests an amber coloration, while it exhibits a bright yellow fluorescence under ultraviolet illumination (Figure 4). In the E1f2 mudstone samples, Tasmanites and Botryococcus algae are prolific, intricately interspersed throughout the shale matrix, demonstrating pronounced fluorescence (Figure 4b,d). The alginite in these mudstones is primarily dominated by telalginite, with a subordinate presence of lamalginite. In contrast, hybrid shale alginite is characterized by lower fluorescence intensity, adheres in parallel alignment to bedding planes, and is distributed in a striated pattern (Figure 4f,g). Within these hybrid shales, lamalginite is notably present, forming distinct algal layers along the stratifications (Figure 4j), whereas telalginite, which is indicative of superior cellular structure preservation, is found in lesser quantities (Figure 4h).

Figure 4.

Figure 4

Microscopic photos of macerals in the mudstone and hybrid shale from E1f2 in Gaoyou Sag. Scale bar = 50 μm. (a) Sample S1, Microscopic photo of Tasmanite algae (oil immersed reflected light); (b) Sample S1, Microscopic photo of Tasmanite algae (fluorescent); (c) Sample S1, Microscopic photo of Botryococcus algae (oil immersed reflected light); (d) Sample S1, Microscopic photo of Botryococcus algae (fluorescent); (e) Sample S1, Microscopic photo of telalginite and lamalginite (oil immersed reflected light); (f), Sample S1, Microscopic photo of telalginite and lamalginite (fluorescent); (g) Sample S5, Microscopic photo of telalginite and lamalginite (oil immersed reflected light); (h), Sample S5, Microscopic photo of telalginite and lamalginite (fluorescent); (i) Sample S9, Microscopic photo of laminar algal (oil immersed reflected light); (j), Sample S9, Microscopic photo of laminar algal (fluorescent); (k) Sample S9, Microscopic photo of solid bitumen (oil immersed reflected light); (l), Sample S9, Microscopic photo of solid bitumen (fluorescent); (m) Sample S4, Microscopic photo of bituminite, solid bitumen and mineral bituminous groundmass (oil immersed reflected light); (n), Sample S4, Microscopic photo of bituminite, solid bitumen and mineral bituminous groundmass (fluorescent); (o) Sample S6, Microscopic photo of solid bitumen and mineral bituminous groundmass (fluorescent); (p) Sample S16, Microscopic photo of fusinite (oil immersed reflected light).Tas is Tasmanite algae; TA is telalginite; LA is lamalginite; Bot is Botryococcus algae; MBG is mineral - bituminous groundmass; B is bituminite; SB is solid bitumen.

The secondary organic material within the hybrid shales is predominantly typified by solid bitumen. It presents itself as slender, irregularly contoured lenses, positioned among shale particulates and in congruence with the stratification planes (Figure 4m,l). Under oil-immersion reflected light, the solid bitumen appears gray to black, displaying minimal fluorescence (Figure 4m), although certain samples exhibit a brownish-red fluorescence (Figure 4l). Bituminite, present in trace amounts, exclusively in certain hybrid shale samples, appears amorphous and forms organic stripes parallel to the shale layers under reflected light (Figure 4m), with negligible fluorescence (Figure 4n). It is often associated with a complex matrix of minor organic matter and inorganic minerals, termed mineral bituminous groundmass, which is challenging to discern under reflected light but shows extensive yellow-green fluorescence (Figure 4n).

Vitrinite is dispersed among shale particles in fragmented granular and striated forms, appearing grayish-white under an oil-immersion reflection without any fluorescence response (Figure 4o). Reflectance measurements for vitrinite (Ro) in the E1f2 shale samples range from 0.81% to 0.89% (Figure 2). Inertinite, dispersed in a granular form within the shale matrix, is bright white under reflected light (Figure 4p) and primarily consists of inert debris with occasional occurrences of semifusinite and fusinite (Figure 4p).

4.3. Molecular Characteristics of Saturated Hydrocarbons

Biomarker compound parameters, detailed in Table 3, exhibit distinct patterns in mudstone and hybrid shale. The average ratios of Pristane/Phytane (Pr/Ph), Pristane/nC17 (Pr/nC17), and Phytane/nC18 (Ph/nC18) in mudstone are 0.62, 0.30, and 0.35, respectively. In contrast, hybrid shale shows average Pr/Ph, Pr/nC17, and Ph/nC18 values of 0.28, 0.43, and 1.06. The average ratios of gammacerane to αβC30 Hopane (G/C30H), 4-methylsterane index (4-MSI), and C24 tetracyclic terpane to C26 tricyclic terpane (C24/C26) in mudstone are 0.06, 1.67, and 4.11, whereas in hybrid shale they are 0.99, 0.14, and 1.37. Furthermore, the mean ratios of C19/C23 tricyclic terpane (C19/C23) and C20/C23 tricyclic terpane (C20/C23) in mudstone and hybrid shale samples manifest as 0.27, 0.48, and 0.14, and 0.37, respectively. The sterane/hopane (S/H) ratios and C23 tricyclic terpane to αβC30 Hopane (C23/C30H) values are 0.11 and 0.22 for mudstone and 1.02 and 0.40 for hybrid shale, respectively. In the sterane mass-to-charge ratio (m/z) of 217 fragmentograms, the distributions of C27ααα(20R), C28ααα(20R), and C29ααα(20R) steranes exhibit distinctive asymmetrical V-shaped distribution patterns (Figure 5).

Table 3. Biomaker Parameters of the Hybrid Shale and Mudstone from the Funing Formation in the Gaoyou Sag, Subei Basina.

no. depth (m) Pr/nC17 Ph/nC18 Pr/Ph G/C30H C24/C26 ETR C23/C30H C19/C23 C20/C23 S/H 4-MSI C27ααα(20R) (%) C28ααα(20R) (%) C29ααα(20R) (%) nC21+22/nC28+29
S-1 3473.40 0.27 0.31 0.72 0.04 3.94 0.29 0.02 0.27 0.50 0.08 0.47 21.04 32.96 46.00 1.35
S-2 3482.22 0.32 0.39 0.53 0.08 4.27 0.26 0.03 0.27 0.47 0.14 2.87 21.86 22.97 55.17 1.48
S-3 3589.75 0.15 0.38 0.35 0.36 1.94 0.60 0.13 0.21 0.56 0.45 0.13 19.45 30.64 49.91 1.17
S-4 3670.90 0.31 0.98 0.31 1.05 0.86 0.72 0.32 0.12 0.34 0.79 0.16 24.35 33.11 42.54 2.14
S-5 3674.78 0.34 0.76 0.27 1.23 0.95 0.67 0.40 0.11 0.31 0.76 0.08 26.43 27.86 45.71 1.78
S-6 3676.46 0.39 1.11 0.33 1.28 0.63 0.80 0.41 0.09 0.29 1.08 0.28 24.70 35.05 40.25 1.99
S-7 3680.47 0.42 0.96 0.23 1.06 1.12 0.68 0.41 0.10 0.31 0.85 0.07 18.62 28.53 52.85 0.96
S-8 3680.95 0.41 0.95 0.41 1.23 1.11 0.71 0.37 0.15 0.39 1.03 0.23 18.46 31.41 50.14 1.28
S-9 3683.65 0.46 1.03 0.19 1.03 0.92 0.71 0.54 0.07 0.33 0.88 0.27 21.48 33.76 44.76 1.71
S-10 3686.72 0.60 1.59 0.21 0.79 1.55 0.67 0.30 0.13 0.30 1.07 0.10 21.48 30.20 48.32 0.95
S-11 3688.46 0.74 1.77 0.26 0.67 2.20 0.57 0.29 0.20 0.38 1.38 0.10 24.10 26.89 49.01 0.93
S-12 3696.68 0.34 0.77 0.18 1.11 1.78 0.59 0.70 0.15 0.46 1.22 0.06 21.12 29.05 49.83 2.01
S-13 3697.40 0.41 0.94 0.41 1.06 2.05 0.63 0.63 0.20 0.43 1.32 0.06 20.57 29.42 50.01 1.26
S-14 3698.37 0.50 1.31 0.18 0.81 1.76 0.57 0.30 0.10 0.34 1.17 / 21.96 26.48 51.56 0.86
S-15 3701.35 0.45 1.24 0.35 1.17 0.91 0.73 0.36 0.15 0.34 1.27 0.16 22.91 30.7 46.38 1.11
S-16 3703.01 0.27 0.68 0.31 0.37 3.41 0.24 0.13 0.38 0.46 1.37 0.03 22.89 29.47 47.64 1.03
a

Pr/nC17 = Pristane/C17n-alkane; Ph/nC18 = Phytane/C18n-alkane; Pr/Ph = Pristane/Phytane; G/C30H = Gammacerane/αβC30 Hopane; C24/C26 = C24 tetracyclic terpane/C26 tricyclic terpane; ETR = (C28 + C29)TT/(C28TT + C29TT + Ts); C23/C30H = C23 tricyclic terpane/αβC30 Hopane; C19/C23 = C19/C23 tricyclic terpane; C20/C23 = C20/C23 tricyclic terpane; S/H = sterane/hopane; 4MSI = 4-methylsterane index (∑4-methylsterane/∑C29 steranes); C27ααα(20R) = C27ααα(20R) sterane/(C27ααα(20R) + C28ααα(20R) + C29ααα(20R) sterane); C28ααα(20R)= C28ααα(20R) sterane/(C27ααα(20R) + C28ααα(20R) + C29ααα(20R) sterane);C29ααα(20R) = C29ααα(20R)sterane/(C27ααα(20R) + C28ααα(20R) + C29ααα(20R) sterane); (nC21 + nC22)/(nC28 + nC29) = (C21n-alkane + C22n-alkane)/(C28n-alkane + C29n-alkane); “/” represents no data.

Figure 5.

Figure 5

Typical biomarker distributions of shale samples from the E1f2 in Gaoyou Sag, Subei Basin, showing the order of terpanes (m/z 191) and steranes (m/z 217) distribution. C21–C26 = C21 – C26 tricyclic terpanes; C24 Tet T = C24 tetracyclic terpane; C30H = C30 αβ hopane; C27–29 = C27 – C29ααα(20R) sterane.

4.4. Elemental Geochemistry

The compositional analysis of major and trace elements, as detailed in Table 4, reveals significant variations between mudstone and hybrid shale specimens. The average concentrations of aluminum oxide (Al2O3), potassium oxide (K2O), and magnesium oxide (MgO) in mudstone are registered at 10.91%, 1.74%, and 1.65%, respectively. Conversely, in hybrid shale, these values are markedly higher, recorded at 14.73%, 3.50%, and 3.43%, respectively.

Table 4. Major and Trace Elements of the Hybrid Shale and Mudstone from the Funing Formation in the Gaoyou Sag, Subei Basin.

no. Na2O (%) MgO (%) Al2O3 (%) K2O (%) CaO (%) Fe2O3 (%) Ni (ppm) Cu (ppm) Zn (ppm) Sr (ppm) Ba (ppm) V (ppm) Cr (ppm) Mn (ppm)
S-1 1.26 1.88 12.00 1.84 14.50 4.58 41.80 46.3 34.2 618 620 70.2 43.1 1288
S-2 1.46 1.42 9.81 1.63 7.32 4.74 26.10 39.7 58.1 311 788 66.6 51.0 804
S-3 2.98 2.10 13.40 3.04 6.44 3.66 26.20 80.0 150.0 554 1042 65.6 58.6 393
S-4 3.70 2.61 17.10 3.63 2.15 5.31 42.10 54.0 77.6 269 324 103.0 76.0 485
S-5 2.57 3.98 16.50 4.34 2.67 5.43 37.80 51.8 83.7 301 362 94.6 74.4 560
S-6 3.46 3.16 16.20 3.46 5.58 5.64 39.90 45.5 76.5 520 306 115.0 72.8 684
S-7 2.01 3.61 16.70 4.72 1.88 5.42 42.30 49.2 77.9 228 355 105.0 85.0 521
S-8 1.78 4.56 14.60 4.08 4.41 5.44 32.90 40.6 70.2 402 334 87.9 72.9 487
S-9 2.80 3.71 14.70 3.52 5.83 4.90 40.10 44.9 64.8 485 332 95.0 73.7 500
S-10 3.48 2.51 12.90 2.65 5.80 3.97 36.40 89.2 113.0 500 392 68.9 57.6 459
S-11 2.98 2.57 14.20 3.28 5.12 3.99 36.70 55.0 72.3 407 490 93.2 71.4 503
S-12 2.37 3.23 17.60 4.62 1.12 5.35 49.70 37.4 81.7 213 416 100.0 92.8 473
S-13 2.70 3.35 16.90 4.07 1.59 5.01 52.40 47.6 82.7 220 368 106.0 92.0 571
S-14 2.57 5.17 13.40 2.71 6.81 4.99 45.00 69.7 82.3 580 315 81.3 74.7 697
S-15 2.02 2.96 8.66 1.41 22.70 4.16 28.20 44.2 51.6 1209 172 73.7 47.8 620
S-16 1.74 4.48 13.30 3.40 6.94 4.64 35.90 54.9 56.6 521 409 88.7 70.6 518

In terms of trace elements, hybrid shale samples exhibit elevated average concentrations of nickel (Ni), copper (Cu), zinc (Zn), strontium (Sr), vanadium (V), and chromium (Cr), measured at 38.97 54.57, 79.07, 529.00, 89.40, and 72.88 ppm, respectively. This contrasts with the mudstone samples, which demonstrate lower average concentrations of these elements, specifically 33.95 ppm Ni, 43.00 ppm Cu, 46.15 ppm Zn, 464.50 ppm Sr, 68.40 ppm V, and 47.05 ppm Cr. Additionally, the analysis reveals disparities in the average concentrations of barium (Ba) and manganese (Mn) between the mudstone and hybrid shale, with mudstone exhibiting higher values of 704.00 ppm Ba and 1046.00 ppm Mn, whereas hybrid shale displays lower concentrations of 424.33 ppm Ba and 553.64 ppm Mn.

5. Discussion

5.1. Microscopic Characteristics and Compositions of Macerals

Within the E1f2 hybrid shale, lamalginite is identified as the primary constituent of alginite (Figure 4f,g,j), serving as a crucial source for oil generation. Telalginite, also encountered within the E1f2 hybrid shale (Figure 4f,h), is characterized by its distinct cellular structures when observed under fluorescence microscopy, yet the precise biological provenance of this maceral remains indeterminate (Figure 4h). Lamalginite, primarily originating from planktonic algae,29 undergoes sapropelification post-mortem, followed by diagenesis, ultimately resulting in the development of a maceral with considerable capacity for oil generation, although it is generally inferior in comparison to telalginite.2931 Certain samples exhibit layered algal accumulations of lamalginite, exceeding 30 μm in thickness and 200 μm in length (Figure 4i,j). This structural characteristic is emblematic of substantial oil-generating capabilities, comparable to telalginite.29 The chemical composition of telalginite is predominantly aliphatic, which plays a pivotal role in its pronounced potential for hydrocarbon generation.29,3133

Solid bitumen, a secondary organic constituent prevalent in hybrid shale, emerges from the transformation of oil-generating organic matter, indicative of petroleum migration, accumulation, and postdepositional alteration.31,3436 Within the E1f2 source rocks, solid bitumen manifests as slender, irregularly shaped lenses aligned parallel to the shale bedding, exhibiting negligible fluorescence (Figure 4l,n). Bituminite, an amorphous microscopic constituent, arises under anoxic conditions through the transformation of organic materials such as algae, zooplankton, and bacteria, signifies microbial degradation.30,31,37 It frequently co-occurs with mineral bituminous groundmass (Figure 4l,n), which is composed of a mixture of sapropelic organic matter alongside clay or other inorganic constituents, such as carbonates and silica, commonly associated with microbial alterations.30,31,37,38 Wang posited that mineral bituminous groundmass content is independent of the organic carbon content in source rocks but relates to microbial contributions.37 Tang proposed that highly reductive environments, alongside epochs conducive to microbial proliferation, specifically bacteria, facilitate the genesis of mineral bituminous groundmass.38 The presence of bituminite and mineral bituminous groundmass implies significant biological alteration of the organic matter in E1f2 hybrid shale during diagenesis.

Compared with mudstone, hybrid shale demonstrates significant vertical heterogeneity in alginite content, with a higher content of solid bitumen, bituminite, inertinite, and vitrinite (Figure 3). Tasmanites and Botryococcus algae present in mudstone and categorized as freshwater green algae, exhibit intense fluorescence and possess substantial hydrocarbon generating capacity.3133,39,40 Within hybrid shale, the dominance of lamalginite and the emergence of telalginite indicate a moderate potential for hydrocarbon generation. The simultaneous presence of bituminite and lamalginite, in conjunction with a well-developed mineral bituminous ground mass and a hydrogen index not surpassing 250 mg HC/g TOC in samples rich in bituminite, points to significant biodegradation throughout the sedimentation process of this hybrid shale sequence.

5.2. Main Controlling Factors for Enrichment of Macerals

5.2.1. Origin and Productivity

The distribution pattern of n-alkanes is recognized as a crucial indicator for identifying the origin of organic matters.41 It is widely acknowledged that n-alkanes with lower carbon numbers are predominantly sourced from aquatic microorganisms, including plankton and algae, whereas n-alkanes with higher carbon numbers are typically attributed to land plants. Within the analyzed hybrid shale, the n-alkanes ratio (nC21 + nC22)/(nC28 + nC29) spans from 0.86 to 2.14, averaging 1.40, and the preponderance of samples manifest values above 1.0 (Table 2, Figure 6). This ratio strongly suggests that the organic matter in the hybrid shale is primarily sourced from lower aquatic organisms.

Figure 6.

Figure 6

Pristane/nC17 vs Phytane/nC18 reflecting the sources of organic matter and depositional environment.

Additionally, isoprenoid parameters, notably Pr/nC17 and Ph/nC18, are frequently utilized to deduce sedimentary environments and the origins of organic matter.4145 The intersection diagram of Pr/nC17 and Ph/nC18 (Figure 6) indicates that the organic matter in the hybrid shale is largely derived from algal sources, deposited under anoxic water conditions. Given that C27 sterols are primarily produced by plankton, C28 sterols by phytoplankton, and C29 sterols prevalent in land plants, the comparative abundance of C27ααα(20R), C28ααα(20R), and C29ααα(20R) regular steranes serves as a crucial indicator for ascertaining the predominant source of organic matter.21,46Figure 7 shows that all of the shale samples fall in the plankton/bacterial and plankton/land plant fields. Huang undertook a detailed investigation on the individual carbon isotopes of C27ααα(20R), C28ααα(20R), and C29ααα(20R) steranes, noting the average carbon isotope ratios to be −28.62‰, 28.65‰, and 28.02‰ respectively, with a variance of less than 1‰.47 Consequently, they inferred that C29ααα(20R) steranes in the shale from the E1f2 formation of the Subei Basin, predominantly originate from algal contributions. From the analyses provided, it can be concluded that the organic matter within the hybrid shale of the Gaoyou Sag primarily stems from planktonic sources, with fewer contributions from land plants and bacterial organisms.

Figure 7.

Figure 7

Ternary diagram of regular steranes (C27, C28, and C29) showing the relationship between sterane composition and organic matter inputs for the E1f2 hybrid shale in Gaoyou Sag, Subei Basin Adapted with permission from the work of Gao et al.21 Copyright 2018 Elsevier.

Tricyclic terpane parameters are utilized to deduce terrestrial organic matter contributions.22,41,48 Increased ratios of C19/C23 and C20/C23 serve as hallmarks for the input of terrestrial organic matters.13,4851 Rich C24 tetracyclic terpene are considered indicators of carbonate and evaporite source rocks,52,53 but some case studies suggest that high C24 tetracyclic terpene concentrations may also indicate input of terrestrial organic matters.48,49 Within the E1f2 hybrid shale, an increase in the C19/C23 and C20/C23ratio correlates with a rise in the C24/C26 ratio (Figure 8), suggesting the latter ratio as a reliable indicator for terrestrial organic input. Contrasting these data from When juxtaposed with the Bohai Bay Basin, Pearl River Mouth Basin, and Jianghan Basin,45,48,51,54,55 it emerges that the C19/C23 and C20/C23 ratios within the E1f2 are generally lower, whereas the C23/C30H ratio is comparatively higher. This distribution suggests a relatively subdued contribution of terrigenous organic matter to the E1f2 hybrid shale.

Figure 8.

Figure 8

Composite organic geochemistry profile showing changes in major biomarker parameters reflecting depositional conditions and/or organic matter input of E1f2. Abbreviations of biomaker parameters are explained in the legend of Table 3.

The sterane/hopane (S/H) ratio serves as an indicator of the relative contributions of eukaryotic organisms (algae and higher plants) versus prokaryotic organisms (bacteria) to the organic matter.28,43,4850,56 Within the study area, the S/H ratio ranges from 0.45 to 1.38, averaging 1.02 (Table 3, Figure 8), signifying a pronounced influence of eukaryotic organisms. Analyzing the relationship among C19/C23, C20/C23, C24/C26, C23/C30H, and S/H, it was observed that the correlation between S/H and the earlier noted terpane ratios is not pronounced. Higher S/H values generally align with lower C19/C23 and C24/C26 ratios and higher S/H values generally align with higher C23/C30H (Figure 8). This suggests that eukaryotic contributions within the study area are primarily derived from algae, with a comparatively minor involvement of land plants. This observation is in alignment with the previously mentioned lower terpane ratios, substantiating the dominance of algal over land plant contributions.

According to Ebukanson and Kinghorn57,58 and Hao,48 bituminite can originate from both algal and higher plant sources, with its formation also linked to bacterial activity. Solid bitumen, as explicated by Cardott et al., Mastalerz et al., and Misch et al., is a complex product of petroleum migration, aggregation, and postdepositional changes, derived from a diverse biological origin.3436 Consequently, this study refrains from delving into the sources and enrichment mechanisms of bituminite and solid bitumen. Analyses exploring the correlations between alginite content and the combined vitrinite+inertinite concentrations versus S/H ratios reveal that S/H increases with increased alginite content (Figure 9c). Conversely, the correlation with vitrinite+inertinite content is less evident. Higher S/H ratios correspond to relatively lower vitrinite+inertinite contents (Figure 9d), indicating a predominant eukaryotic contribution from algae, with lower input from land plants.

Figure 9.

Figure 9

Parameter maps of various biomarker ratios reflecting the organic matter sources of hybrid shales in the Subei Basin (a-b, e-f) as well as correlation plots of various biomarker parameters and maceral groups (c-d). Abbreviations of biomarker compound parameters are shown in the legend of Table 3.

4-Methyl sterane is predominantly sourced from dinoflagellate sterols or is associated with methane-producing bacterial activity during diagenesis.48,5961 The 4-methyl sterane index (4-MSI) serves as an indicator for identifying the origin of organic matter, with dinoflagellates in lacustrine environments proposed as the principal contributors to 4-methyl sterane.48,5961 The correlation between S/H and 4-MSI in hybrid shales of the study area is not significant, yet an increase in alginite content correlates with higher 4-MSI levels (Figure 9e,f). This suggests a complex source for 4-methylsterane, with dinoflagellates contributing to alginite enrichment.

The primary productivity of lakes is closely associated with the proliferation and development of algae.62,63 Trace metals, including copper (Cu), iron (Fe), and barium (Ba), play a vital role in the proliferation and development of algae. The concentrations of these elements serve as significant indicators of paleoproductivity in lacustrine environments.6467 Organic matter frequently forms organometallic complexes with such elements, including Cu, which are then accumulated in sedimentary deposits. Moreover, the biosynthesis rate of Ba is directly correlated with the levels of biological productivity.6668 Consequently, the ratios of Cu/Al and Ba/Al are widely utilized to approximate the widely utilized to approximate levels.6668 Within the analyzed hybrid shale, the mean Cu/Al ratio stands at 7.23 × 10–4, and the average Ba/Al ratio is registered at 52.04 × 10–4. The relatively low ratios of Cu/Al to Ba/Al suggest a modest level of paleoproductivity during the sedimentation of the hybrid shale in the study area.

Lake primary productivity is not only dependent on nutrient availability but also significantly influenced by water chemistry factors such as paleoclimate and salinity.48,49 The distribution, concentration, and interrelationships of major and trace elements in sediments are frequently employed to infer paleoclimatic conditions.6972 The paleoclimate index “C” is a commonly used metric for characterizing paleoclimate conditions,42,43,70,71 and its calculation formula provided as follows:

5.2.1. 1

The “C” value, serving as an indicator for paleoclimate conditions, where higher values are indicative of more humid climates.4244,73 Within the hybrid shale of the study area, the “C” value fluctuates between 0.14 and 0.45, averaging 0.33. Predominantly, these values fall within the range of 0.20–0.40, signifying that the hybrid shale was primarily deposited under semiarid paleoclimatic conditions.

Nesbitt and Young introduced the Chemical Index of Alteration (CIA), a metric extensively acknowledged for evaluating the extent of chemical weathering in source regions and for reconstructing paleoclimatic conditions.74 The formula for calculating the CIA is as follows:

5.2.1. 2

It is noteworthy that the unit for oxide in the formula is the molar concentration. CaO* represents the proportion of CaO in the silicate components. When employing CIA to infer paleoclimatic changes, it is essential to consider the influence of CaO present in the carbonate components. To adjust for this, a correction formula is employed:75

5.2.1. 3

Given the uncertainties surrounding the source of CaO in the hybrid shale samples and the high CaO content, CaO was omitted from the CIA calculation to minimize potential errors. Research suggests that higher CIA values correlate with humid paleoclimatic conditions.42,74 In the study area, the CIA values for hybrid shale span from 47.40 to 58.76, averaging 54.06, which implies deposition in an arid paleoclimatic environment.

Biomarker compound parameters and inorganic metal elements are widely utilized to investigate lake paleosalinity.42,48,49 The Gammacerane Index (G/C30H) is is widely used to deduce variations in the salinity and alkalinity of water columns during sedimentation periods.13,48,49 Gammacerane, believed to derive from the reduction of tetrahymanol, is commonly linked with bacterial ciliates that thrive at redox interfaces within stratified water columns. High gammacerane abundance often indicates conditions of heightened reduction and elevated salinity.13,48,49,59,76,77 Thus, a significant gammacerane presence is indicative of stratification in high salinity water columns. Early research indicates that the extended tricyclic terpane ratio (ETR) serves as an age-related indicator to distinguish crude oils originating from Triassic, Lower Jurassic, and Middle–Upper Jurassic marine source rocks.78 ETR, as elucidated by Hao et al.,48,49 Tan et al.,42 and He et al.,13 is also as an indicator to reflect the salinity of water columns. A strong association between ETR and both Pr/Ph and G/C30H ratios (Figure 10a,b) indicates that within the Subei Basin ETR closely relates to redox and/or saline conditions during or immediately following the deposition of hybrid shale. Elevated G/C30H and ETR values in the study area’s hybrid shale (Figure 8, Table 3) suggest high salinity levels and stratification occurred during the sedimentation process. Moreover, the Sr/Ba ratio is frequently employed to determine the paleosalinity of lake water columns, with higher ratios suggesting increased salinity.42 Within the E1f2 shale samples, Sr/Ba values vary from 0.51 to 7.03, with an average of 1.47, indicating that the hybrid shale is mainly deposited in salt lakes.

Figure 10.

Figure 10

Variations of ETR with Pr/Ph and G/C30H (a-b) as well as correlation plots of paleoproductivity with paleoclimate, paleosalinity, and algintie groups (c-f). Abbreviations of biomarker compound parameters are shown in legend of Table 3.

Correlative analyses were undertaken to explore the relationships between “CIA”, “C”, Sr/Ba, and Cu/Al. The findings indicate a significant negative correlation between “CIA” and “C” concerning Cu/Al, whereas Sr/Ba exhibits a positive correlation with Cu/Al (Figure 10c-e). This suggests that increased paleoproductivity is associated with relatively drier paleoclimatic conditions and higher water column salinity. Additionally, the correlation between the Cu/Al and alginite content was investigated, revealing a positive correlation (Figure 10f). This observation suggests that heightened paleoproductivity fosters alginite enrichment.

5.2.2. Preservation Conditions

The redox conditions of water columns significantly play a significant role in the preservation of organic matter, with hypoxic environments favoring maceral enrichment.42,79,80 Elements such as vanadium (V) and nickel (Ni), are crucial in determining ancient redox conditions. The ratio V/(V + Ni) serves as a widely accepted metric for indicating the redox environment of sedimentary water columns.70,81,82 A V/(V + Ni) ratio below 0.45 indicates an oxidizing environment, while ratios falling between 0.45 and 0.6 indicate a suboxic environment. Ratios ranging from 0.6 to 0.85 point toward hypoxic conditions, and values exceeding 0.85 suggest a euxinic (sulfidic) environment. In the study area, the V/(V + Ni) ratio in hybrid shale ranges from 0.64 to 0.74, averaging 0.70, indicating deposition under anoxic conditions. The biomarker compound Pr/Ph values and the crossplot of isoprenoid further support this deduction of anoxic environment (Figures 6 and 8). Correlation analyses between V/(V + Ni) and various macerals reveal a weak association with alginite and (vitrinite+inertinite) content (Figure 11a-b), suggesting that redox conditions are not the primary factor influencing maceral enrichment.

Figure 11.

Figure 11

Intersection diagram of redox parameters in water column with the content of macerals (a-b), input of terrestrial debris with the content of macerals (c-d), intersection diagram of paleosalinity parameters in water column with the content of alginite (g-h), and intersection diagram of paleoclimate parameters with the content of (vitrinite + inertinite) (e-f).

Terrigenous debris inputs bring essential nutrients to lakes, aiding hydrobiont growth. However, excessive terrigenous inputs have the potential to either dilute or impair the preservation of organic matter.13,83,84 The ratio (Fe2O3 + Al2O3)/(CaO + MgO) is commonly utilized to assess the magnitude of terrigenous debris inputs.4 Analysis indicates a positive correlation between (Fe2O3 + Al2O3)/(CaO + MgO) and alginite content (Figure 11c). With an increase in this ratio, the content of vitrinite and inertinite initially increases, followed by a subsequent decline (Figure 11d). This observation suggests that optimal terrestrial debris inputs promote alginite growth, whereas excessive inputs disrupt the preservation of vitrinite and inertinite.

The CIA and paleoclimate index “C” are utilized to evaluate chemical weathering and paleoclimate conditions, respectively. Both CIA and “C” values exhibit a positive correlation with the content of (vitrinite+inertinite) (Figure 11e-f), indicating that humid paleoclimates and intensive chemical weathering promote inputs from land plants, thereby enriching vitrinite and inertinite.

ETR and G/C30H serve as effective indicators for characterizing water salinity and stratification. The positive correlations observed between ETR, G/C30H, and algal biomass content (Figure 11g-h) are consistent with the notion that saline lakes often demonstrate high productivity, owing to the adaptability of bacteria and algae to saline conditions.13,48,85 In the Subei Basin, elevated concentrations of lake nutrients foster algal proliferation. As the salinity increases, pronounced stratification occurs within the water column, resulting in anoxic conditions at the bottom. This anoxic environment facilitates the preservation of settling alginite, thereby contributing to its enrichment in hybrid shale.

In the hybrid shale of the study area, the predominant source of organic matter originates from lower aquatic organisms, with a lesser contribution from terrestrial organic matter and a significant contribution from dinoflagellates, which contributes to the enrichment of algae. Contrary to the initial assumptions, the redox conditions within the water column do not predominantly influence the enrichment of macerals. Instead, the introduction of terrigenous debris, in conjunction with paleosalinity and paleoproductivity, emerges as the principal driving force behind maceral accumulation. The inflow of terrigenous debris introduces essential nutrient elements into the lake, thereby increasing nutrient salt concentrations, promoting algal proliferation and consequently enhancing primary productivity. Simultaneously, an increase in salinity induces pronounced stratification within the water column, resulting in the formation of an anoxic environment at the lakebed, which is conducive to the preservation of alginite. Moreover, the deposition of vitrinite and inertinite macerals is regulated not only by the input of organic matter from land plants but also by the prevailing paleoclimate, the intensity of chemical weathering, and the influx of terrestrial detritus. A relatively humid paleoclimate combined with a robust chemical weathering index favors the enrichment of vitrinite and inertinite macerals. An optimal quantity of terrigenous debris enhances the accumulation of these macerals, whereas an excessive influx potentially hinders their enrichment.

5.3. Geological Significance

5.3.1. Effect of Maceral on Shale Oil Enrichment

In source rock assessment, the abundance of organic matter is commonly evaluated using geochemical parameters such as Total Organic Carbon (TOC) and pyrolysis hydrocarbon contents (S1 and S2).73,86,87 The S1 component is particularly indicative of extant shale oil content, while both S1 and S2 collectively serve as key indicators of the hydrocarbon generation capacity of source rocks.11,43,73,86 In the case of the hybrid shale from the study area, the TOC concentrations exhibit a broad range, spanning from 0.68% to 2.46%, with a mean value of 1.24%. The aggregate S1+S2 contents vary between 1.52 and 9.97 mg of HC/g of rock. According to established criteria for evaluating terrestrial hydrocarbon source rocks, the hybrid shale under study classifies as a medium to high-quality hydrocarbon source rock. This assessment is consistent with the understanding that the organic matter content in hybrid shale, despite its variability, holds significant potential for hydrocarbon generation. The maceral composition within these shales plays a crucial role in this context, influencing both the quality and quantity of recoverable hydrocarbons.

In assessing the oil content of shale oil, key metrics include the Oil Saturation Index (OSI), actual movable oil, and total oil content.11,88,89 Multitemperature stage pyrolysis experiments provide parameters for assessing real movable oil and total oil content. The derived formulas are Free oil = 2.33 × S1 and Total oil = 1.73 × S1 + 0.82 × S2.77 In the hybrid shale under investigation, the free oil content varies widely, ranging from 0.75 to 12.51 mg of HC/g of rock, with an average of 2.38 mg of HC/g of rock. Similarly, total oil content spans from 1.56 to 10.12 mg HC/g rock, averaging 4.55 mg HC/g rock (Figure 2, Table 1).

Analyses were conducted to establish correlations between the content of alginite, vitrinite+inertinite with Total Organic Carbon (TOC), S1+S2, total oil, and free oil. The results indicate that TOC increases with the rise in alginite content, while showing no significant correlation with the combined content of vitrinite+inertinite. Both S1+S2 and total oil display a positive correlation with alginite content, yet there is no distinct correlation with vitrinite+inertinite content. Free oil content also correlates positively with alginite content but inversely with the content of vitrinite+inertinite (Figure 12). The positive relationship between TOC, total oil, and free oil with the alginite content underscores that alginite enrichment promotes the accumulation of shale oil and organic matter in the hybrid shale of the Subei Basin. This suggests a synergistic mechanism wherein shale oil enrichment and organic matter accumulation mutually reinforce each other.

Figure 12.

Figure 12

Maceral contents vs total organic carbon (TOC) (a, b), hydrocarbon potential (c, d), and total oil (e, f) and free oil (g, h) of hybrid shales in E1f2 from the Gaoyou Sag, Subei Basin.

5.3.2. Enrichment Patterns of Typical Macerals and Shale Oil in the Hybrid Shale

The research findings indicate that the E1f2 hybrid shale predominantly originates from aquatic organisms, revealing a synergistic mechanism between organic matter and shale oil enrichment. Arid paleoclimatic conditions led to significant evaporation in lake waters, resulting in a reduction in lake area. Concurrently, the input of terrigenous debris introduced nutrient elements into the lake, leading to an escalation in nutrient salt concentrations and promoting eutrophication. This process enhanced algal growth and increased primary productivity. The elevation in salinity resulted in pronounced water column stratification, ultimately leading to the formation of an anoxic environment at the lakebed. Under such conditions, minimal degradation of settled alginite occurred, facilitating its preservation and enrichment (Figure 13).

Figure 13.

Figure 13

Typical maceral components and shale oil enrichment patterns of hybrid shale in E1f2 from the Gaoyou Sag, Subei Basin.

Alginite, as the primary source material for hydrocarbon generation in E1f2 hybrid shale, holds a pivotal position in the genesis of shale oil. The enrichment of alginite fosters favorable conditions for the generation of shale oil. Furthermore, the geological characteristics of the hybrid shale, serving as both a source and reservoir system, provide favorable environments for the accumulation and preservation of shale oil, thereby promoting its enrichment within the hybrid shale matrix.

6. Conclusion

Comprehensive organic–inorganic geochemical analyses were performed on the E1f2 section of the Subei Basin’s hybrid shale, encompassing TOC, Rock-Eval pyrolysis, organic petrography, major and trace element analysis, and GC-MS analysis of saturated hydrocarbons. These analyses facilitated a thorough investigation into the microcomposition, enrichment genesis, and geological significance of the mixed shale. The key findings are summarized as follows:

  • (1)

    The predominant macerals in the hybrid shale are alginite, solid bitumen, and inertinite. Compared to mudstone with higher alginite content, the hybrid shale exhibits a wider range of alginite concentrations and relatively higher levels of solid bitumen and bituminite. The predominant form of alginite is lamalginite, supplemented by telalginite, which collectively contribute to a moderate overall hydrocarbon potential.

  • (2)

    Biomarker parameters such as S/H, C23/C30H, and C24/C26 reveal that the organic matter in the hybrid shale primarily derives from lower aquatic organisms, with less contribute from terrigenous organic matter. Additionally, dinoflagellates have contributed to the enrichment of alginite.

  • (3)

    Maceral enrichment is influenced by a combination of factors, including terrigenous detrital input, paleosalinity, and paleoproductivity, with redox conditions playing a less significant role. The introduction of terrigenous detritus enhances lake nutrient salt concentrations, stimulating algal proliferation and augmenting primary productivity. Elevated salinity levels and pronounced water column stratification promote reduction conditions favorable for alginite preservation. The enrichment of vitrinite and inertinite is governed by organic matter derived from land plants, as well as by paleoclimate and chemical weathering factors. In relatively humid paleoclimates with high chemical weathering indices, there is a preference for the enrichment of vitrinite and inertinite. Adequate terrigenous debris input facilitates their accumulation, while excessive input is detrimental.

  • (4)

    Alginite is the key hydrocarbon-generating component in low-abundance hybrid shale. The enrichment of alginite promotes the accumulation of shale oil and organic matter within the hybrid shale of the Subei Basin, indicating a synergistic mechanism between shale oil and organic matter enrichment. This suggests the significant potential for shale oil exploration even in low-abundance mixed shale formations.

Acknowledgments

The authors thank the support from the Open Fund of Key Laboratory of Exploration Technologies for Oil and Gas Resources (Yangtze University), Ministry of Education (No. K202307) and National Natural Science Foundation of China (42272160, 42102194). The authors greatly appreciate anonymous reviewers and editors for their constructive comments for their precious advice.

The authors declare no competing financial interest.

References

  1. Guo X.; Ma X.; Li M.; Qian M.; Hu Z. Mechanisms for lacustrine shale oil enrichment in Chinese sedimentary basins. Oil Gas Geol. 2023, 44 (6), 1333–1349. (in Chinese with English abstract) 10.11743/ogg20230601. [DOI] [Google Scholar]
  2. Fang Z.; Xiao Q.; Zang Di.; Duan H. Geological characteristics and exploration of continental fault-block shale oil reservoirs in Subei Basin. Oil Gas Geol. 2023, 44 (6), 1468–1478. (in Chinese with English abstract) 10.11743/ogg20230611. [DOI] [Google Scholar]
  3. Li M.; Ma X.; Jin Z.; Li Z.; Jiang Q.; Wu S.; Li Z.; Xu Z. Diversity in the lithofacies assemblages of marine and lacustrine shale strata and significance for unconventional petroleum exploration in China. Oil Gas Geol. 2022, 43 (1), 1–25. (in Chinese with English abstract) 10.11743/ogg20220101. [DOI] [Google Scholar]
  4. Zhou L.; Han G.; Ma J.; Chen C.; Yang F.; Zhang L.; Zhou K.; Chen S.; Yang F.; Dong Y.; Zhou J. Palaeoenvironment characteristics and sedimentary model of the lower submember of Member 1 of Shahejie Formation in the southwestern margin of Qikou sag. Acta Pet. Sin. 2020, 41 (8), 903–917. (in Chinese with English abstract) 10.7623/syxb202008001. [DOI] [Google Scholar]
  5. Xie X.; Li M.; Littke R.; Huang Z.; Ma X.; Jiang Q.; Snowdon L. R. Petrographic and geochemical characterization of microfacies in a lacustrine shale oil system in the Dongying Sag, Jiyang Depression, Bohai Bay Basin, eastern China. International Journal of Coal Geology. 2016, 165, 49–63. 10.1016/j.coal.2016.07.004. [DOI] [Google Scholar]
  6. Zhao X.; Zhou L.; Pu X.; Han W.; Jin F.; Xiao D.; Shi Z.; Deng Y.; Zhang W.; Jiang W. Exploration breakthroughs and geological characteristics of continental shale oil: A case study of the Kongdian Formation in the Cangdong Sag, China. Marine and Petroleum Geology. 2019, 102, 544–556. 10.1016/j.marpetgeo.2018.12.020. [DOI] [Google Scholar]
  7. Li T.; Liu B.; Zhou X.; Yu H.; Xie X.; Xie Z.; Wang X.; Rao H. Classification and evaluation of shale oil enrichment: lower third member of Shahejie Formation, Zhanhua Sag, Eastern China. Marine and Petroleum Geology. 2022, 143, 105824 10.1016/j.marpetgeo.2022.105824. [DOI] [Google Scholar]
  8. Ma W.; Cao Y.; Xi K.; Liu K.; Lin M.; Liu J. Interactions between mineral evolution and organic acids dissolved in bitumen in hybrid shale system. International Journal of Coal Geology. 2022, 260, 104071 10.1016/j.coal.2022.104071. [DOI] [Google Scholar]
  9. Meyer M. J.; Donovan A. D.; Pope M. C. Depositional environment and source rock quality of the Woodbine and Eagle Ford Groups, southern East Texas (Brazos) Basin: An integrated geochemical, sequence stratigraphic, and petrographic approach. AAPG Bulletin. 2021, 105 (4), 809–843. 10.1306/10142018221. [DOI] [Google Scholar]
  10. Zhao W.; Hu S.; Hou L.; Yang T.; Li X.; Guo B.; Yang Z. Types and resource potential of continental shale oil in China and its boundary with tight oil. Petroleum Exploration and Development. 2020, 47 (1), 1–11. 10.1016/S1876-3804(20)60001-5. [DOI] [Google Scholar]
  11. Lu S.; Huang W.; Chen F.; et al. Classification and evaluation criteria of shale oil and gas resources: Discussion and application. Petroleum Exploration and Development. 2012, 39 (2), 268–276. 10.1016/S1876-3804(12)60042-1. [DOI] [Google Scholar]
  12. Lu S.; Xue H.; Wang M.; Xiao D.; Huang W.; Li J.; Xie L.; Tian S.; Wang S.; Li J. Several Key issues and reserch trends in evaluation of shale oil. Acta Pet. Sin. 2016, 37 (10), 1309–1322. (in Chinese with English abstract) 10.7623/syxb201610012. [DOI] [Google Scholar]
  13. He T.; Lu S.; Li W.; Tan Z.; Zhang X. Effect of Salinity on Source Rock Formation and Its Control on the Oil Content in Shales in the Hetaoyuan Formation from the Biyang Depression, Nanxiang Basin, Central China. Energy & Fuels. 2018, 32 (6), 6698–6707. 10.1021/acs.energyfuels.8b01075. [DOI] [Google Scholar]
  14. Hackley P. C.; Sanfilipo J. R. Organic petrology and geochemistry of Eocene Suzak bituminous marl, north-central Afghanistan: Depositional environment and source rock potential. Marine and Petroleum Geology. 2016, 73, 572–589. 10.1016/j.marpetgeo.2016.02.029. [DOI] [Google Scholar]
  15. Liu B.; Bechtel A.; Gross D.; Fu X.; Li X.; Sachsenhofer R. F. Middle Permian environmental changes and shale oil potential evidenced by high-resolution organic petrology, geochemistry and mineral composition of the sediments in the Santanghu Basin, Northwest China. International Journal of Coal Geology. 2018, 185, 119–137. 10.1016/j.coal.2017.11.015. [DOI] [Google Scholar]
  16. Hackley P. C.; Cardott B. J. Application of organic petrography in North American shale petroleum systems: A review. International Journal of Coal Geology. 2016, 163, 8–51. 10.1016/j.coal.2016.06.010. [DOI] [Google Scholar]
  17. Liu B.; Mastalerz M.; Schieber J. SEM petrography of dispersed organic matter in black shales: A review. Earth-Science Reviews. 2022, 224, 103874 10.1016/j.earscirev.2021.103874. [DOI] [Google Scholar]
  18. Liu B., Schieber J., Mastalerz M.. Petrographic and micro-FTIR study of organic matter in the Upper Devonian New Albany Shale during thermal maturation: Implications for kerogen transformation. In Mudstone Diagenesis: Research Perspectives for Shale Hydrocarbon Reservoirs, Seals, And Source Rocks; Camp W., Milliken K.; Taylor K., Fishman N., Hackley P., Macquaker J., Eds.; AAPG Memoir, 2019; Vol. 120, pp 165–188. [Google Scholar]
  19. Teng J.; Mastalerz M.; Liu B. Petrographic and chemical structure characteristics of amorphous organic matter in marine black shales: insights from Pennsylvanian and Devonian black shales in the Illinois Basin. International Journal of Coal Geology. 2021, 235, 103676 10.1016/j.coal.2021.103676. [DOI] [Google Scholar]
  20. Teng J.; Deng H.; Xia Y.; Chen W.; Fu M. Controls of amorphous organic matter on the hydrocarbon generation potential of lacustrine shales: a case study on the Chang 7 Member of Yanchang Formation, Ordos Basin, North China. Energy & Fuels. 2021, 35 (7), 5879–5888. 10.1021/acs.energyfuels.0c04403. [DOI] [Google Scholar]
  21. Gao G.; Yang S.; Zhang W.; Wang Y.; Gang W.; Lou G. Organic geochemistry of the lacustrine shales from the Cretaceous Taizhou Formation in the Gaoyou Sag, Northern Jiangsu Basin. Marine and Petroleum Geology. 2018, 89, 594–603. 10.1016/j.marpetgeo.2017.10.023. [DOI] [Google Scholar]
  22. Cheng Q.; Zhang M.; Li H. Anomalous distribution of steranes in deep lacustrine facies low maturity-maturity source rocks and oil of Funing formation in Subei Basin. Journal of Petroleum Science and Engineering. 2019, 181, 106190 10.1016/j.petrol.2019.106190. [DOI] [Google Scholar]
  23. Liu X.; Lai J.; Fan X.; Shu H.; Wang G.; Ma X.; Liu M.; Guan M.; Luo Y. Insights in the pore structure, fluid mobility and oiliness in oil shales of Paleogene Funing Formation in Subei Basin, China. Marine and Petroleum Geology. 2020, 114, 104228 10.1016/j.marpetgeo.2020.104228. [DOI] [Google Scholar]
  24. Quaye J. A.; Jiang Z.; Liu C.; Adenutsi C. D.; Boateng C. D. Biogenically modified reservoir rock quality: A case from the lowermost member Paleocene Funing Formation, Gaoyou Depression, Subei Basin, China. Journal of Petroleum Science and Engineering. 2022, 219, 111126 10.1016/j.petrol.2022.111126. [DOI] [Google Scholar]
  25. ASTM D2797 Standard Practice for Preparing Coal Samples for Microscopical Analysis by Reflected Light; ASTM International: West Conshohocken, PA, 2015.
  26. Chen L. Estimation of the amount of erosion at unconformities in the last stage of the Eocene Sanduo period in the Subei Basin, China. Petroleum Science. 2009, 6 (4), 383–388. 10.1007/s12182-009-0058-0. [DOI] [Google Scholar]
  27. Li S.; Pang X.; Jin Z.; Yang H.; Xiao Z.; Gu Q.; Zhang B. Petroleum source in the Tazhong Uplift, Tarim Basin: New insights from geochemical and fluid inclusion data. Org. Geochem. 2010, 41 (6), 531–553. 10.1016/j.orggeochem.2010.02.018. [DOI] [Google Scholar]
  28. Zhang J.; Yang Y.; Gao Y.; Li S.; Yu B.; Gong X.; Bai Z.; Miao M.; Zhang Y.; Sun Z.; Qi Z. Geochemistry and source of crude oils in the Wensu uplift, Tarim Basin, NW China. Journal of Petroleum Science and Engineering. 2022, 208, 109448 10.1016/j.petrol.2021.109448. [DOI] [Google Scholar]
  29. Hutton A. C.Organic petrology of oil shales. Ph.D. thesis, University of Wollongong, 1982. [Google Scholar]
  30. Creaney S. The Organic Petrology of the Upper Cretaceous Boundary Creek Formation, Beaufort-Mackenzie Basin. Bull. Can. Pet. Geol. 1980, 28 (1), 112–129. 10.35767/gscpgbull.28.1.112. [DOI] [Google Scholar]
  31. Pickel W.; Kus J.; Flores D.; Kalaitzidis S.; Christanis K.; Cardott B. J.; Misz-Kennan M.; Rodrigues S.; Hentschel A.; Hamor-Vido M.; Crosdale P.; Wagner N. Classification of liptinite – ICCP System 1994. International Journal of Coal Geology. 2017, 169, 40–61. 10.1016/j.coal.2016.11.004. [DOI] [Google Scholar]
  32. Kalacheva G. S.; Zhila N. O.; Volova T. G. Lipid and hydrocarbon compositions of a collection strain and a wild sample of the green microalga Botryococcus. Aquatic Ecology. 2002, 36, 317–331. 10.1023/A:1015615618420. [DOI] [Google Scholar]
  33. Metzger P.; Largeau C. Botryococcus braunii: a rich source for hydrocarbons and related ether lipids. Appl. Applied Microbiology and Biotechnology. 2005, 66 (5), 486–496. 10.1007/s00253-004-1779-z. [DOI] [PubMed] [Google Scholar]
  34. Cardott B. J.; Landis C. R.; Curtis M. E. Post-oil solid bitumen network in the Woodford Shale, USA — A potential primary migration pathway. International Journal of Coal Geology. 2015, 139 (1), 106–113. 10.1016/j.coal.2014.08.012. [DOI] [Google Scholar]
  35. Mastalerz M.; Drobniak A.; Stankiewicz A. B. Origin, properties, and implications of solid bitumen in source-rock reservoirs: A review. International Journal of Coal Geology. 2018, 195, 14–36. 10.1016/j.coal.2018.05.013. [DOI] [Google Scholar]
  36. Misch D.; Gross D.; Hawranek G.; Horsfield B.; Klaver J.; Mendez-Martin F.; Urai J. L.; Vranjes-Wessely S.; Sachsenhofer R. F.; Schmatz J.; Li J.; Zou C. Solid bitumen in shales: Petrographic characteristics and implications for reservoir characterization. International Journal of Coal Geology. 2019, 205, 14–31. 10.1016/j.coal.2019.02.012. [DOI] [Google Scholar]
  37. Wang T.; Zhong N.; Hou D.; Huang G.; Bao J. Formation mechanism and distribution of low maturity oil and gas. Pet. Ind. Press 1995, 27–40. (in Chinese).. [Google Scholar]
  38. Tang Y.; Jiang P.; Hou H.; Yang X. Correlation of Bituminite and Mineral-Bituminous Groundmass with Sedimentary Organic Groundmass. J. China Univ. Min. Technol. 1999, 28 (1), 33–37. (in Chinese with English abstract).. [Google Scholar]
  39. Dai S.; Zhao L.; Tang Y.; Ren D.; Wei Q.; Jiang Y.; Liu J.; Zhao F. An in-depth interpretation of definition and classification of macerals in coal (ICCP system 1994) for Chinese researchers, IV: Liptinite. J. China Coal Soc. 2021, 46 (9), 2965–2983. [Google Scholar]
  40. Maxwell J. R.; Douglas A. G.; Eglinton G.; McCormick A. Of novel structure from the alga botryococcus braunii, ktitzing. Phytochemistry. 1968, 7, 2157–2171. 10.1016/S0031-9422(00)85672-1. [DOI] [Google Scholar]
  41. Peters K. E., Walters C. C., Moldowan J. M. In The Biomarker Guide, Biomarkers and Isotopes in Petroleum Exploration and Earth History; Cambridge University Press, 2005; pp 11–55. [Google Scholar]
  42. Tan Z.; Lu S.; Li W.; Zhang Y.; He T.; Jia W.; Peng P. Climate-Driven Variations in the Depositional Environment and Organic Matter Accumulation of Lacustrine Mudstones: Evidence from Organic and Inorganic Geochemistry in the Biyang Depression, Nanxiang Basin, China. Energy & Fuels. 2019, 33 (8), 6946–6960. 10.1021/acs.energyfuels.9b00595. [DOI] [Google Scholar]
  43. He T.; Lu S.; Li W.; Wang W.; Sun D.; Pan W.; Zhang B. Geochemical characteristics and effectiveness of thick, black shales in southwestern depression, Tarim Basin. Journal of Petroleum Science and Engineering. 2020, 185, 106607 10.1016/j.petrol.2019.106607. [DOI] [Google Scholar]
  44. Liu B.; Bechtel A.; Sachsenhofer R. F.; Gross D.; Gratzer R.; Chen X. Depositional environment of oil shale within the second member of Permian Lucaogou Formation in the Santanghu Basin, Northwest China. International Journal of Coal Geology. 2017, 175, 10–25. 10.1016/j.coal.2017.03.011. [DOI] [Google Scholar]
  45. Li Q.; Xu S.; Hao F.; Shu Z.; Chen F.; Lu Y.; Wu S.; Zhang L. Geochemical characteristics and organic matter accumulation of argillaceous dolomite in a saline lacustrine basin: A case study from the paleogene xingouzui formation, Jianghan Basin, China. Marine and Petroleum Geology. 2021, 128, 105041 10.1016/j.marpetgeo.2021.105041. [DOI] [Google Scholar]
  46. Huang W.; Meinschein W. G. Sterols as ecological indicators. Geochim. Cosmochim. Acta 1979, 43 (5), 739–745. 10.1016/0016-7037(79)90257-6. [DOI] [Google Scholar]
  47. Huang D.; Zhang D.; Wang P.; Zhang L.; Wang T. Genetic mechanism and accumulation condition of inmmature oil in China. Pet. Ind. Press 2003, 522–524. (in Chinese).. [Google Scholar]
  48. Hao F.; Zhou X.; Zhu Y.; Yang Y. Lacustrine source rock deposition in response to co-evolution of environments and organisms controlled by tectonic subsidence and climate, Bohai Bay Basin, China. Org. Geochem. 2011, 42 (2), 323–339. 10.1016/j.orggeochem.2011.01.010. [DOI] [Google Scholar]
  49. Hao F.; Zhou X.; Zhu Y.; Yang Y. Mechanisms for oil depletion and enrichment on the Shijiutuo uplift, Bohai Bay Basin, China. AAPG Bull. 2009, 93 (8), 1015–1037. 10.1306/04140908156. [DOI] [Google Scholar]
  50. Hao F.; Zhou X.; Zhu Y.; Zou H.; Bao X.; Kong Q. Mechanisms of petroleum accumulation in the Bozhong sub-basin, Bohai Bay Basin, China. Part 1: Origin and occurrence of crude oils. Marine and Petroleum Geology. 2009, 26 (8), 1528–1542. 10.1016/j.marpetgeo.2008.09.005. [DOI] [Google Scholar]
  51. Hu Y.; Hao F.; Zhu J.; Tian J.; Ji Y. Origin and occurrence of crude oils in the Zhu1 sub-basin, Pearl River Mouth Basin, China. Journal of Asian Earth Sciences. 2015, 97, 24–37. 10.1016/j.jseaes.2014.09.041. [DOI] [Google Scholar]
  52. Connan J.; Bouroullec J.; Dessort D.; Albrecht P. The microbial input in carbonate-anhydrite facies of asabkha paleoenvironment from Guatemala: A molecularapproach. Org. Geochem. 1986, 10 (1–3), 29–50. 10.1016/0146-6380(86)90007-0. [DOI] [Google Scholar]
  53. Clark J. P.; Philp R. P. Geochemical character-ization of evaporite and carbonate depositional environ-ments and correlation of associated crude oils in theBlack Creek Basin, Alberta. Bull. Can. Pet. Geol. 1989, 37 (4), 401–416. [Google Scholar]
  54. Chen X.; Hao F.; Guo L.; Wang D.; Yin J.; Yang F.; Zou H. Origin of petroleum accumulation in the Chaheji-gaojiapu structural belt of the Baxian Sag, Bohai Bay Basin, China: Insights from biomarker and geological analyses. Marine and Petroleum Geology. 2018, 93, 1–13. 10.1016/j.marpetgeo.2018.02.010. [DOI] [Google Scholar]
  55. Tian J.; Hao F.; Zhou X.; Zou H.; Peng B. Hydrocarbon generating potential and accumulation contribution of the fourth member of the Shahejie Formation in the Liaodong Bay sub-basin, Bohai Bay basin. Marine and Petroleum Geology. 2017, 82, 388–398. 10.1016/j.marpetgeo.2016.11.024. [DOI] [Google Scholar]
  56. Grantham P. J. Sterane isomerisation and moretanelhopane ratios in crude oils derived from Tertiary source rocks. Org. Geochem. 1986, 9 (6), 293–304. 10.1016/0146-6380(86)90110-5. [DOI] [Google Scholar]
  57. Hao F.; Chen J.; Sun Y.; Liu Y. Application of organic facies studies to sedimentary basin analysis: a case study from the Yitong Graben, China. Org. Geochem. 1993, 20 (1), 27–42. 10.1016/0146-6380(93)90078-P. [DOI] [Google Scholar]
  58. Ebukanson E. J.; Kinghorn R. R. F. Kerogen facies in the major jurassic mudrock formations of southern england and the implication on the depositional environments of their precursors. Journal of Petroleum Geology. 1985, 8 (4), 435–462. 10.1111/j.1747-5457.1985.tb00283.x. [DOI] [Google Scholar]
  59. de Leeuw J.W.; Rijpstra W.I. C.; Schenck P.A.; Volkman J.K. Free, esterified and residual bound sterols in Black Sea Unit I sediments. Geochim. Cosmochim. Acta 1983, 47 (3), 455–465. 10.1016/0016-7037(83)90268-5. [DOI] [Google Scholar]
  60. Summons R. E.; Volkman J. K.; Boreham C. J. Dinosterane and other steroidal hydrocarbons of dinoflagellate origin in sediments and petroleum. Geochim. Cosmochim. Acta 1987, 51 (11), 3075–3082. 10.1016/0016-7037(87)90381-4. [DOI] [Google Scholar]
  61. Summons R. E.; Thomas J.; Maxwell J. R.; Boreham C. J. Secular and environmental constraints on the occurrence of dinosterane in sediments. Geochim. Cosmochim. Acta 1992, 56 (6), 2437–2444. 10.1016/0016-7037(92)90200-3. [DOI] [Google Scholar]
  62. Katz B. J.Factors Controlling the Development of Lacustrine Petroleum Source Rocks—An Update. In Paleogeography, Paleoclimate, and Source Rocks; Huc A.-Y., Ed.; American Association of Petroleum Geologists, 1995; pp 61–75. [Google Scholar]
  63. Zhang H.; Wu X.; Wang B.; Duan Y.; Qu Y.; Chen D. Research Progress of the Enrichment Mechanism of Sedimentary Organics in Lacustrine Basin. Acta Sedimentol. Sin. 2016, 34 (3), 463–477. (in Chinese with English abstract). [Google Scholar]
  64. McManus J.; Berelson W. M.; Hammond D. E.; Klinkhammer G. P. Barium Cycling in the North Pacific: Implications for the Utility of Ba as a Paleoproductivity and Paleoalkalinity Proxy. Paleoceanography 1999, 14 (1), 53–61. 10.1029/1998PA900007. [DOI] [Google Scholar]
  65. Morse J. W.; Luther G. W. Chemical influences on trace metal-sulfide interactions in anoxic sediments. Geochim. Geochimica et Cosmochimica Acta. 1999, 63 (19–20), 3373–3378. 10.1016/S0016-7037(99)00258-6. [DOI] [Google Scholar]
  66. Cardinal D.; Savoye N.; Trull T. W.; et al. Variations of carbon remineralisation in the Southern Ocean illustrated by the Baxs proxy. Deep Sea Research Part I: Oceanographic Research Papers. 2005, 52 (2), 355–370. 10.1016/j.dsr.2004.10.002. [DOI] [Google Scholar]
  67. Tribovillard N.; Algeo T. J.; et al. Trace metals as paleoredox and paleoproductivity proxies: An update. Chem. Geol. 2006, 232 (1–2), 12–32. 10.1016/j.chemgeo.2006.02.012. [DOI] [Google Scholar]
  68. Dehairs F.; Chesselet R.; Jedwab J. Discrete suspended particles of Barite and the barium cycle in the open ocean. Earth and Planetary Science Letters. 1980, 49 (2), 528–550. 10.1016/0012-821X(80)90094-1. [DOI] [Google Scholar]
  69. Getaneh W. Geochemistry provenance and depositional tectonic setting of the Adigrat Sandstone northern Ethiopia. Journal of African Earth Sciences. 2002, 35 (2), 185–198. 10.1016/S0899-5362(02)00126-4. [DOI] [Google Scholar]
  70. Algeo T. J.; Maynard J. B. Trace-element behavior and redox facies in core shales of Upper Pennsylvanian Kansas-type cyclothems. Chem. Geol. 2004, 206 (3–4), 289–318. 10.1016/j.chemgeo.2003.12.009. [DOI] [Google Scholar]
  71. Ma Y.; Yang H.; Ma Y.; Wang Y.; Wu W.; An N.; Tian S.; Ma L.; Fu D. Geochemical characteristics of shales from Upper Carboniferous Yanghugou formation in Weiningbeishan area, China: Implication for provenance, source weathering and tectonic setting. Mar. Pet. Geol. 2023, 149, 106082 10.1016/j.marpetgeo.2022.106082. [DOI] [Google Scholar]
  72. Wu Z.; He S.; He Z.; Li X.; Zhai G.; Huang Z. Petrographical and geochemical characterization of the Upper Permian Longtan formation and Dalong Formation in the Lower Yangtze region, South China: Implications for provenance, paleoclimate, paleoenvironment and organic matter accumulation mechanisms. Marine and Petroleum Geology. 2022, 139, 105580 10.1016/j.marpetgeo.2022.105580. [DOI] [Google Scholar]
  73. He T.; Lu S.; Li W.; Sun D.; Pan W.; Zhang B.; Tan Z.; Ying J. Paleoweathering, hydrothermal activity and organic matter enrichment during the formation of earliest Cambrian black strata in the northwest Tarim Basin, China. Journal of Petroleum Science and Engineering. 2020, 189, 106987 10.1016/j.petrol.2020.106987. [DOI] [Google Scholar]
  74. Nesbitt H. W.; Young G. M. Early Proterozoic climates and plate motions inferred from major element chemistry of lutites. Nature. 1982, 299, 715–717. 10.1038/299715a0. [DOI] [Google Scholar]
  75. Nesbitt H. W.; Young G. M. Formation and Diagenesis of Weathering Profiles. Journal of Geology. 1989, 97 (2), 129–147. 10.1086/629290. [DOI] [Google Scholar]
  76. Summons R. E.; Hope J. M.; Swart R.; Walter M. R. Origin of Nama Basin bitumen seeps: Petroleum derived from a Permian lacustrine source rock traversing southwestern Gondwana. Org. Geochem. 2008, 39 (5), 589–607. 10.1016/j.orggeochem.2007.12.002. [DOI] [Google Scholar]
  77. Sinninghe Damsté J. S.; Kenig F.; Koopmans M. P.; Köster J.; Schouten S.; Hayes J. M.; De Leeuw J. W. Evidence for gammacerane as an indicator of water column stratification. Geochim. Geochimica et Cosmochimica Acta. 1995, 59 (9), 1895–1900. 10.1016/0016-7037(95)00073-9. [DOI] [PubMed] [Google Scholar]
  78. Holba A. G.; Ellis L.; Dzou I. L.. Extended tricyclic terpanes as age discriminators between Triassic, Early Jurassic and Middle-Late Jurassic oils. 20th International Meeting on Organic Geochemistry, Nancy, France, 2001, EAOG 1
  79. Demaison G. J.; Moore G. T. Anoxic environments and oil source bed genesis. Org. Geochem. 1980, 2 (1), 9–31. 10.1016/0146-6380(80)90017-0. [DOI] [Google Scholar]
  80. He Z.; Yin X.; Jiang S.; Lei M.; Liu Y.; Zhao R.; Zhu B. Source rock classification, maturity and their implications in paleoenvironment reconstruction in the Zhu III sub-basin, China. J. Pet. Sci. Eng. 2022, 216, 110799 10.1016/j.petrol.2022.110799. [DOI] [Google Scholar]
  81. Hatch J. R.; Leventhal J. S. Relationship between inferred redox potential of the depositional environment and geochemistry of the Upper Pennsylvanian (Missourian) Stark Shale Member of the Dennis Limestone, Wabaunsee County, Kansas, U.S.A. Chem. Geol. 1992, 99 (1–3), 65–82. 10.1016/0009-2541(92)90031-Y. [DOI] [Google Scholar]
  82. Bechtel A.; Sun Y.; Püttmann W.; Hoernes S.; Hoefs J. Isotopic evidence for multi-stage base metal enrichment in the Kupferschiefer from the Sangerhausen Basin, Germany. Chem. Geol. 2001, 176 (1), 31–49. 10.1016/S0009-2541(00)00336-3. [DOI] [Google Scholar]
  83. Sageman B. B.; Murphy A. E.; Werne J. P.; Ver Straeten C. A.; Hollander D. J.; Lyons T. W. A tale of shales: the relative roles of production, decomposition, and dilution in the accumulation of organic-rich strata, Middle–Upper Devonian, Appalachian basin. Chem. Geol. 2003, 195 (1–4), 229–273. 10.1016/S0009-2541(02)00397-2. [DOI] [Google Scholar]
  84. Nie Y.; Fu X.; Liu X.; Wei H.; Zeng S.; Lin F.; Wan Y.; Song C. Organic matter accumulation mechanism under global/regional warming: Insight from the Late Barremian calcareous shales in the Qiangtang Basin (Tibet). Journal of Asian Earth Sciences. 2023, 241, 105456 10.1016/j.jseaes.2022.105456. [DOI] [Google Scholar]
  85. Eugster H. P. Oil shales, evaporites and ore deposits. Geochim. Geochimica et Cosmochimica Acta. 1985, 49 (3), 619–635. 10.1016/0016-7037(85)90158-9. [DOI] [Google Scholar]
  86. Peters K. E.; Cassa M. R.. Applied Source Rock Geochemistry. In The Petroleum System--From Source to Trap; AAPG, 1994; Vol. 60, pp 93–120. [Google Scholar]
  87. Peng J.; Pang X.; Shi H.; Peng H.; Xiao S. Hydrocarbon-generation potential of upper Eocene Enping Formation mudstones in the Huilu area, northern Pearl River Mouth Basin, South China Sea. AAPG Bulletin. 2018, 102 (7), 1323–1342. 10.1306/0926171602417005. [DOI] [Google Scholar]
  88. Liu C.; Wang Z.; Guo Z.; Hong W.; Dun C.; Zhang X.; Li B.; Wu L. Enrichment and distribution of shale oil in the Cretaceous Qingshankou Formation, Songliao Basin, Northeast China. Marine and Petroleum Geology. 2017, 86, 751–770. 10.1016/j.marpetgeo.2017.06.034. [DOI] [Google Scholar]
  89. Zhang P.; Lu S.; Lin Z.; Duan H.; Chang X.; Qiu Y.; Fu Q.; Zhi Q.; Wang J.; Huang H. Key Oil Content Parameter Correction of Shale Oil Resources: A Case Study of the Paleogene Funing Formation, Subei Basin, China. Energy & Fuels. 2022, 36 (10), 5316–5326. 10.1021/acs.energyfuels.2c00610. [DOI] [Google Scholar]

Articles from ACS Omega are provided here courtesy of American Chemical Society

RESOURCES