Skip to main content
ACS Omega logoLink to ACS Omega
. 2022 Jun 7;7(24):20927–20944. doi: 10.1021/acsomega.2c01662

Modified Flowing Material Balance Equation for Shale Gas Reservoirs

Long Yang , Yizhong Zhang ‡,*, Maolin Zhang , Yong Liu §,, Zhenqiang Bai §,, Bin Ju #
PMCID: PMC9219068  PMID: 35755393

Abstract

graphic file with name ao2c01662_0019.jpg

To determine original gas-in-place, this study establishes a flowing material balance equation based on the improved material balance equation for shale gas reservoirs. The method considers the free gas in the matrix and fracture, the dissolved gas in kerogen, and the pore volume occupied by adsorbed phase simultaneously, overcoming the problem of incomplete consideration in the earlier models. It also integrates the material balance method with the flowing material balance method to obtain the average formation pressure, eliminating the problem with the previous method where shutting down of wells was needed to monitor the formation pressure. The volume of the adsorbed gas on the ground is converted into volume of the adsorbed phase in the formation using the volume conservation method to characterize the pore volume occupied by the adsorbed phase, which solves the problem of the previous model that the adsorbed phase was neglected in the pore volume. The model proposed in this study is applied to the Fuling Shale Gas Field in southwest China and compared with other flowing material balance equations, and the results show that the single-well control area calculated by the model proposed in this study is closer to the real value, indicating that the calculations in this study are more accurate. Furthermore, the calculations show that the dissolved gas takes up a large fraction of the total reserves and cannot be ignored. The sensitivity analyses of critical parameters demonstrate that (a) the greater the porosity of the fracture, the greater the free gas storage; (b) the values of Langmuir volume and TOC can significantly affect the results of the reservoir calculation; and (c) the adsorbed phase occupies a smaller pore volume when the Langmuir volume is smaller, the Langmuir pressure is higher, or the adsorbed phase density is higher. The findings of this study can provide better understanding of the necessity to take into account the dissolved gas in the kerogen, the pore volume occupied by the adsorbed phase, and the fracture porosity when evaluating reserves. The method could be applied to the calculation of pressure, recovery of free gas phase and adsorbed phase, original gas-in-place, and production predictions, which could help for better guidance of reserve potential estimations and development strategies of shale gas reservoirs.

1. Introduction

With the increase of the world energy demand, unconventional gas resources have attracted attention worldwide.13 Compared to conventional gas reservoirs, shale gas has its characteristics. First, shale has extremely low permeability and high heterogeneity. Re-equilibrium of the fluids will be time-consuming for the build-up well tests, and a material balance equation based on the static and dynamic reservoir parameters could be an expected method to characterize the shale gas reservoirs. Second, in terms of storage mechanism, gas mainly exists in adsorbed, free, and dissolved states in the shale.47 Thus, the calculation methods for conventional reserves may not be applied to shale gas.8,9 Previous scholars studied the calculation of the original gas-in-place (OGIP) of shale gas, and factors such as free gas, adsorbed gas, dissolved gas, rock stress sensitivity, and irreducible water expansion have been taken into consideration, making their models closer to the real gas reservoir.1013 However, there are still important factors that have not been considered, including the influence of free gas in the fracture and the volume of the adsorbed phase in the pore space. The above factors should be considered comprehensively to calculate the OGIP of shale gas accurately.

The material balance equation of coalbed methane considering the effects of water influx and adsorbed gas was first proposed by King.10 The OGIP could be calculated using the slope and intercept of p/Z* (ratio of pressure and modified Z-factor) versus Gp (cumulative gas production). Based on King’s work, Ahmed et al.11 established the material balance equation of coalbed methane considering free gas, adsorbed gas, irreducible water expansion, and stress sensitivity, and they applied it to solve the average formation pressure. Moghadam et al.14 redefined the Z-factor according to the principle of volume conservation and extended the material balance equation to all gas reservoirs and used the bottom hole pressure (BHP) to calculate OGIP when in a pseudo-steady flow. Mattar and McNeil15 proposed the flowing material balance method, which used BHP instead of average formation pressure to calculate reserves. Anderson et al.16 proposed material balance pseudo-time and extended this method from constant BHP or constant production rate to changed production rates and changed production pressures. Considering the adsorbed gas, the flowing material balance equation of the coalbed methane reservoir was established by Clarkson et al.17

However, according to Ambrose et al.,18 the volume of adsorbed phase could not be ignored, and the volume of the adsorbed phase needs to be subtracted from the void space measured by porosity measurement (Figure 1). The previously mentioned material balance equations did not consider the pore volume occupied by the adsorbed phase and overestimated the volume occupied by the free gas, resulting in inaccurate calculations of total reserves. In addition, shale gas has the characteristics of low permeability and high heterogeneity, necessitating hydraulic fracturing to achieve industrial production.1921 The compressibility of fracture is much higher than that of the matrix, and the porosity of fracture and matrix varies with pressure.2225 Thus, the influence of fracture should be considered in the improved material balance equations. As free gas is produced and formation pressure drops, the adsorbed gas begins to desorb and dissolved gas begins to diffuse, supplying formation energy. Thus, the mechanism of adsorbed gas desorption and dissolved gas diffusion should be considered in the new method.

Figure 1.

Figure 1

Comparison of the old and new methodologies in predicting shale gas-in-place. Reprinted (adapted or reprinted in part) with permission from ref 18.

The influences of adsorbed phase volume, dissolved gas, and free gas on fracture were not fully included in prior approaches for computing reserves of shale gas reservoirs, resulting in discrepancies in reserve calculation results.2630 The adsorption model and multiscale gas fluid flow are considered to describe the volume change of gas adsorption/desorption and gas dissolution. By rebuilding the pore volume model, the volume change of gas in kerogen, matrix, and fractures, the volume changes due to stress sensitivity and irreducible water expansion, and volume change due to adsorbed gas desorption are considered. Thus, based on the previous studies, this study integrates various factors (adsorbed phase occupying pore volume, dissolved gas in kerogen, free gas in both fracture and matrix, stress sensitivity, irreducible water expansion, and adsorbed gas) to establish a new material balance equation for shale gas reservoirs, addressing issues such as the inadequacy of prior methods to account for free gas in fractures, pore volume occupied by adsorbed gas, and the challenging problem of obtaining formation pressure. The general sketch diagram of the method used in this study is shown in Figure 2.

Figure 2.

Figure 2

General sketch diagram of the study problem.

In this study, the shale gas reservoir material balance method considering multiple factors and the flowing material balance method is established in Section 2. The accuracy of the method proposed in this study is verified in Section 3.1. The gas rate is predicted in Section 3.2 using the method proposed in this study. The sensitivity analysis of critical parameters is detailed in Section 3.3. The advantages, disadvantages, and limitations of the proposed method are given in Section 3.4. The summary and conclusions of this study are given in Section 4.

2. Methodology

This study has the following assumptions when the material balance equations are established for shale gas reservoirs: (1) shale gas reservoirs are isothermal; (2) matrix and fractures systems have different irreducible water saturation; (3) water influx and water production are not considered and only free gas flows in the fracture are considered;31 (4) adsorbed gas is adsorbed on the inner surface of the matrix; and (5) shale gas reservoirs have double porosity (matrix, fractures) and single permeability (fractures).

The shale gas mainly contains adsorbed, free, and dissolved gas stored in the matrix and fractures. The OGIP contains four parts: the adsorbed gas in the matrix, the free gas in the matrix, the free gas in the fractures, and the dissolved gas in the kerogen.

The free gas porosity in the matrix (as shown in Appendix A) is:

2. 1

Considering the Langmuir isotherm adsorption model,32 the relationship is as follows:

2. 2

The volume of the matrix (as shown in Appendix A) is:

2. 3

The fracture pore volume (Vf) at the initial formation pressure (as shown in Appendix A) can be calculated as follows:

2. 4

The free gas reserves in the fractures (Gf) at the initial formation pressure (pi) can be calculated as follows:

2. 5

The free gas reserves in the fractures and matrix (Gfree) at the initial formation pressure (pi) can be calculated as follows:

2. 6

The reserves of adsorbed gas (Ga) at the initial formation pressure (pi) can be expressed as follows:

2. 7

The dissolved gas reserves (Gd) in kerogen at the initial formation pressure (pi) can be expressed as follows:

2. 8

Mehrotra and Svrcek33 gave the solubility expression as follows:

2. 9
2. 10

The volume change of the adsorbed phase (as shown in Figure 3) can be calculated as follows:

2. 11

Figure 3.

Figure 3

Schematic diagram of the change in the volume of the adsorbed phase as the pressure decreases.

The volume of stress sensitivity and irreducible water expansion in the matrix can be calculated as:

2. 12

Considering ex ≈ 1 + x, eq 12 can be expressed as:

2. 13

The volume of rock stress sensitivity and irreducible water expansion in the fractures can be calculated as:

2. 14

Considering ex ≈ 1 + x, eq 14 can be expressed as:

2. 15

With the exploitation of shale gas, the pore volume of the reserves is affected by multiple effects of the volume change of the adsorbed phase, the stress sensitivity of the rock, and the expansion of irreducible water. Therefore, the change volume of the pore is expressed as follows:

2. 16

Therefore, the free gas reserves in the fractures and the matrix (Gfreep) at the formation pressure (p) can be calculated as follows:

2. 17

The adsorbed gas reserves (Gap) at the formation pressure (p) are:

2. 18

The dissolved gas reserves in kerogen (Gdp) at the formation pressure (p) are:

2. 19

According to the law of conservation of mass, the sum of the free gas reserves, adsorbed gas reserves, and dissolved gas reserves at the initial formation pressure is equal to the sum of the remaining adsorbed gas reserves, free gas reserves, dissolved gas reserves, and cumulative gas production at the current formation pressure. This can be expressed as follows:

2. 20

Substituting eqs 6, 7, 8, 17, 18, and 19 into eq 20, the material balance equation (as shown in Appendix B) is:

2. 21
2. 22
2. 23

Considering the free gas in the matrix and fractures, the change volume of the adsorbed phase, the adsorbed gas, and the dissolved gas in the kerogen, the comprehensive compressibility ct* can be calculated using eq 24, as shown in Appendix B.

2. 24
2. 25
2. 26
2. 27
2. 28
2. 29
2. 30
2. 31
2. 32

Considering eqs 12 and 14, the following formula can be obtained:

2. 33

Considering the fluctuating flow and pressure during the production process, the material balance pseudotime16tca* can be expressed as:

2. 34

The pseudopressure m(p) can be expressed as:

2. 35

After derivations (as shown in Appendix B), the following expression can be obtained:

2. 36
2. 37

Furthermore, the flowing material balance equation (as shown in Appendix B) can be obtained as follows:

2. 38

A straight line of Inline graphic versus Inline graphic as shown in Figure 4, the slope k, and intercept b can be obtained:

2. 39
2. 40

Figure 4.

Figure 4

Schematic diagram of OGIP calculation using the flowing material balance method.

OGIP can be calculated as follows:

2. 41

To solve the difficulty in obtaining the accurate average formation pressure during the calculation of OGIP, the OGIP is first guessed and then iteratively solved by comparison with the calculation results from the proposed material balance equations. The flowchart is shown in Figure 5, and the specific steps are as follows:

  • (1)

    Assume the reserves G for single well.

  • (2)

    The average formation pressure p can be calculated using eq 21.

  • (3)

    Pseudopressure m(p) can be calculated using eq 35.

  • (4)

    Calculate the normalized cumulative production Inline graphic.

  • (5)

    Calculate the normalized rate Inline graphic.

  • (6)

    Draw a straight line of Inline graphic versus Inline graphic, and the slope k and intercept b are obtained to calculate Gnew using eq 41.

  • (7)

    The calculated value Gnew is compared with the hypothetical value G; if the accuracy requirement is satisfied, accept the calculated value Gnew, otherwise go to (1), replace the hypothetical value G with the calculated value Gnew, and recalculate it until the accuracy requirement is satisfied.

Figure 5.

Figure 5

Solution procedure of the flowing material balance calculation for the OGIP of a single well.

Fetkovich’s curves can also be used to calculate OGIP.34 By dividing both sides of eq 36 by bpss and calculating the reciprocal, it can be obtained:

2. 42

Equation 42 can also be sorted into the form of a harmonic decline curve as follows:

2. 43

where,

2. 44
2. 45

Using the line of Inline graphic versus tca* as shown in Figure 6 and fitting Fetkovich’s type curves, the OGIP can be calculated as follows:

2. 46

Figure 6.

Figure 6

Matching plot of qg(t)/[m(pi) – m(pwf)] versus tca* on harmonic decline (b = 1) stems of Fetkovich’s type curves to establish match points. Reprinted (adapted or reprinted in part) with permission from ref 34.

The reserve can be calculated by fitting Fetkovich’s type curves according to the following steps as shown in Figure 7.

  • (1)

    Assume the reserves G for single well.

  • (2)

    The average formation pressure p can be calculated using eq 21.

  • (3)

    Pseudopressure m(p) can be calculated using eq 35.

  • (4)

    Calculate the normalized rate Inline graphic.

  • (5)

    Calculate the material balance pseudotime tca* according to eq 34.

  • (6)

    Draw a line of Inline graphic versus tca* and fit Fetkovich’s type curves to calculate the G using eq 46.

  • (7)

    The calculated value Gnew is compared with the hypothetical value G, if the accuracy requirement is satisfied, accept the calculated value Gnew, otherwise go to (1), replace the hypothetical value G with the calculated value Gnew, and recalculate it until the accuracy requirement is satisfied.

Figure 7.

Figure 7

Solution procedure of fitting Fetkovich’s type curves to calculate the OGIP of a single well.

When the fractures are ignored, the equation proposed in this study can assume that:

2. 47
2. 48

When the dissolved gas in kerogen is not considered, the equations proposed in this study can assume that:

2. 49

When the volume of the adsorbed phase is not considered, the equation proposed in this study can assume that:

2. 50

3. Results and Discussion

3.1. Validation of the Proposed Method for Shale Gas Reservoirs

To study the application of the method proposed in this study, the Fuling Shale Gas Field in southwest China is selected for research. The ratio between pore pressure to hydrostatic pressure is 1.41∼1.45, and the reservoir temperature is 85.99 °C. The thickness of the main layer is 38 m.

This study uses the JY1HF well for calculation, which has a long production time and has reached the pseudo-steady state flow stage. The rock and fluid properties are listed in Table 1 and the adsorption data and the properties of shale gas are shown in Figures 8 and 9, respectively.

Table 1. Rock and Fluid Properties of a Shale Gas Reservoir of JY1HF.

parameters values
sfwc 0.0
smwc 0.3
VL, m3/t 1.4524
pL, MPa 19.95
ϕmt 0.044
ϕf 0.001
ϕorg 0.005
TOC, % 3.88
ρb, g/cm3 2.650
ρko, g/cm3 1.325
T, K 354.07
pi, MPa 40.00
ρsc, g/cm3 0.00077
ρs, g/cm3 0.340
cm, MPa–1 0.000435
cw, MPa–1 0.000435
cf, MPa–1 0.004350
A, km2 0.06
h, m 38

Figure 8.

Figure 8

Adsorbed gas amount of pure CH4 for JY1HF.

Figure 9.

Figure 9

Properties of the JY1HF shale gas well.

Using properties of shale gas, rock and fluid parameters, and production dynamic data, the reserves can be calculated according to the steps proposed in Figure 5. The calculation results of the method proposed in this study and Clarkson’s method are compared with the real reservoir to verify the accuracy of the proposed method, as shown in Figures 10 and 11 and Table 2.

Figure 10.

Figure 10

Flowing material balance calculation results of Clarkson’s method.

Figure 11.

Figure 11

Flowing material balance calculation results of the proposed method.

Table 2. Comparison Result of the Proposed Method and Clarkson’s Method.

    proposed method
Clarkson’s method
parameters actual value evaluated value relative deviation (%) evaluated value relative deviation (%)
Ah, 104 m3 2280.00 2302.90 –1.00 2744.99 20.39
A, km2 0.6000 0.6060 –1.00 0.7224 20.40
Gm, 104 m3 18583.93 18770.57 –1.00 27735.27 49.24
Gf, 104 m3 822.75 831.02 –1.01    
Ga, 104 m3 5993.94 6054.14 –1.00 7216.35 20.39
Gd, 104 m3 8888.91 8978.18 –1.00    
G, 104 m3 34289.52 34633.9 –1.00 34951.61 1.93

From Table 2, it can be observed that the method proposed in this study has a smaller deviation compared with the actual value. The control volume calculated by the method proposed in this study is 2302.90 × 104 m3 and the actual control volume is 2280.00 × 104 m3, and the relative deviation is only 1.00%, while the control volume calculated by Clarkson’s method is 2744.99 × 104 m3 and the relative deviation is 20.39%, suggesting the accuracy of the proposed model. For the method proposed in this study, the calculated OGIP is 34633.90 × 104 m3 including (a) the calculated free gas reserves in the fracture of 831.02 × 104 m3 and a proportion of 2.40%; (b) calculated initial free gas reserves in the matrix of 18770.57 × 104 m3, accounting for 54.20%; (c) calculated initial adsorbed gas reserves of 6054.14 × 104 m3, accounting for 17.48%; and (d) calculated initial dissolved gas reserves of 8978.18 × 104 m3, accounting for 25.92%.

With consideration of the free gas in the fractures, the dissolved gas in the kerogen, and the volume of the adsorbed phase, the calculated control area is closer to the actual situation, indicating that it is necessary and reasonable to consider these factors in the proposed method. Moreover, the dissolved gas in kerogen accounts for 25.92%, which is relatively large and cannot be ignored.

3.2. Forecast Future Gas Rate

The related expression between BHP and gas production can be determined utilizing the material balance method (eq 21) and the flowing material balance method (eq 38) described in this study. The steps (Figure 12) for forecasting the daily gas production rate are as follows:

  • (1)

    Calculate bpss and G in eq 38 using historical production data.

  • (2)

    Assume the next moment’s gas production qgn + 1.

  • (3)
    Calculate the next moment’s cumulative gas production Gpn + 1.
    graphic file with name ao2c01662_m060.jpg 51
  • (4)

    Calculate the average formation pressure using eq 21.

  • (5)

    Apply eq 38 to calculate gas production qgnewn + 1 based on a given BHP (pwf).

  • (6)

    If abs(qgn + 1qgnew) < eps, stop the iteration. Otherwise, make qgn + 1 = qgnew, return to step (3), and retry the calculation.

Figure 12.

Figure 12

Solution procedure of the flowing material balance calculation for the gas production rate of a single well.

Through these steps, the future production performance can be predicted using BHP. The fitting and prediction results of gas production are shown in Figure 13. The accurate matched results suggest that the model can be used to predict future gas production. Assuming that the economic limit of the gas production rate is 5000 m3/d, the final cumulative gas production will be 23098.25 × 104 m3, and the gas recovery of JY1HF will be 66.70%.

Figure 13.

Figure 13

Fitting and prediction of production data for the JY1HF well.

3.3. Sensitivity Analyses

Sensitivity analyses were carried out in this study to determine the sensitivity parameters that affect the calculation results of reserves. Langmuir volume, Langmuir pressure, total organic carbon (TOC), and fracture porosity were analyzed, respectively.

Assuming that the Langmuir volume changes from 0.4 to 2.8 m3/t, different reserves were calculated as shown in Figure 14. It was observed that the free gas reserves in the matrix reduced by 18.69%, the reserves of adsorbed gas increased by 759%, the free gas reserves in the fractures increased by 22.80%, and the reserves of dissolved gas increased by 5.70%. The Langmuir volume mainly affects the adsorbed gas reserves. The larger the Langmuir volume, the higher the adsorbed gas reserves.

Figure 14.

Figure 14

Calculation results of reserves for different Langmuir volumes.

Assuming that the Langmuir pressure changes from 10.00 to 30.00 MPa, different reserves were calculated as shown in Figure 15. It was observed that the free gas reserves in the matrix increased by 0.34%, the reserves of adsorbed gas decreased by 32.65%, the free gas reserves in the fractures decreased by 7.28%, and the reserves of dissolved gas decreased by 4.48%. The Langmuir pressure mainly affects the adsorbed gas reserves, but the impact was not great.

Figure 15.

Figure 15

Calculation results of reserves for different Langmuir pressures.

Assuming that the TOC changes from 2.00 to 6.00%, different reserves were calculated as shown in Figure 16. It was observed that the free gas reserves in the matrix decreased by 33.57%, the reserves of adsorbed gas decreased by 33.57%, the free gas reserves in the fractures decreased by 33.49%, and the reserves of dissolved gas increased by 149.39%. The TOC mainly affects the dissolved gas reserves, and as the TOC increases, the reserves of dissolved gas will increase.

Figure 16.

Figure 16

Calculation results of reserves for different TOCs.

Assuming that the fracture porosity changes from 0.001 to 0.01, different reserves were calculated as shown in Figure 17. It was observed that the free gas reserves in the matrix decreased by 20.09%, the reserves of adsorbed gas decreased by 20.09%, the free gas reserves in the fractures increased by 698.66%, and the reserves of dissolved gas decreased by 20.09%. The fracture porosity mainly affects the free gas reserves in the fractures, and as the fracture porosity increases, the free gas reserves in the fracture will increase.

Figure 17.

Figure 17

Calculation results of reserves for different fracture porosities.

This study also demonstrates the influence of Langmuir pressure, Langmuir volume, and adsorbed phase density on the porosity of the adsorbed phase. Assuming different Langmuir pressures, the porosity of the free gas in the matrix can be calculated, and the results are shown in Table 3. It was observed that with the increase of Langmuir pressure, the difference in the free gas porosity in the matrix became smaller. Therefore, when the Langmuir pressure is large enough, the volume of the adsorbed phase can be ignored.

Table 3. Free Gas Porosity in the Matrix for Different Langmuir Pressures.

  free gas porosity in the matrix
PL (MPa) considering the volume of the adsorbed phase without considering the volume of the adsorbed phase relative deviation (%)
10 0.0238 0.0308 –22.64
15 0.0245 0.0308 –20.58
20 0.0250 0.0308 –18.87
25 0.0254 0.0308 –17.42
30 0.0258 0.0308 –16.17
35 0.0262 0.0308 –15.09

Assuming different Langmuir volumes, the porosity of the free gas in the matrix was calculated, and the results are shown in Table 4. It was observed that with the increase of Langmuir volume, the difference in the free gas porosity in the matrix became larger. Therefore, when the Langmuir volume is small enough, the volume of the adsorbed phase can be ignored.

Table 4. Free Gas Porosity in the Matrix for Different Langmuir Volumes.

  free gas porosity in the matrix
VL (m3/t) considering the volume of the adsorbed phase without considering the volume of the adsorbed phase relative deviation (%)
0.50 0.0288 0.0308 –6.50
1.00 0.0268 0.0308 –13.00
1.50 0.0248 0.0308 –19.50
2.00 0.0228 0.0308 –26.00
2.50 0.0208 0.0308 –32.50
3.00 0.0188 0.0308 –39.00

Assuming different adsorbed phase densities, the porosity of the free gas in the matrix was calculated, and the results are shown in Table 5. It was observed that with the increase of adsorbed phase density, the difference in the free gas porosity in the matrix became smaller. Therefore, when the adsorbed phase density is large enough, the volume of the adsorbed phase can be ignored.

Table 5. Free Gas Porosity in the Matrix for Different Adsorbed Phase Densities.

  free gas porosity in the matrix
ρs (g/m3) considering the volume of the adsorbed phase without considering the volume of the adsorbed phase relative deviation (%)
0.1 0.0110 0.0308 –64.20
0.2 0.0209 0.0308 –32.10
0.3 0.0242 0.0308 –21.40
0.4 0.0259 0.0308 –16.05
0.5 0.0268 0.0308 –12.84
0.6 0.0275 0.0308 –10.70

3.4. Discussion

To establish the material balance equation for OGIP calculation, the method proposed in this study integrates various factors (adsorbed gas in the matrix, dissolved gas in kerogen, free gas in the matrix, free gas in fractures, adsorbed phase occupying pore volume, and irreducible water expansion). The advantage of this model over earlier models is that the factors addressed are more extensive, and the calculation outputs are more accurate following example verification. The adsorption model and multiscale gas fluid flow are considered to describe the volume change of gas adsorption/desorption and gas dissolution. By rebuilding the pore volume model, the volume changes of gas in kerogen, matrix and fractures, the volume changes due to stress sensitivity and irreducible water expansion, and volume change due to adsorbed density change are considered. Fewer parameters (i.e., BHP, the gas production rate, and initial formation pressure) are required in this model, which compensate the time-consuming build-up well tests. However, there are numerous disadvantages in this study; important parameters such as fracture porosity, organic porosity, and adsorption phase density are difficult to obtain. The precision of these parameters is directly related to the accuracy of reserve evaluation. Furthermore, there are some limitations in this study, the solubility of dissolved gas in kerogen is referred to the empirical model of the solubility of methane in asphaltene proposed by Mehrotra and Svrcek,33 and whether the coefficients in it are applicable to methane in kerogen needs to be investigated further. To achieve more accurate storage evaluation results, future studies should focus on the acquisition of fracture porosity, organic matter porosity, and adsorption phase density as well as the calculation of methane solubility in kerogen.

4. Summary and Conclusions

This study follows the law of conservation of mass and establishes a material balance equation considering the free gas in the fracture and matrix, adsorbed gas in the matrix, dissolved gas, stress sensitivity, and irreducible water expansion. On this basis, considering double porosity and single permeability, a flowing material balance equation can be established under the pseudo-steady state. Through the calculation of examples, the following conclusions can be obtained.

  • (1)

    The application results in actual gas reservoirs show that the calculation results of the flowing material balance method proposed in this study are more accurate compared with Clarkson’s method.

  • (2)

    Dissolved gas accounts for 25.92%, indicating that dissolved gas is an important way of gas storage mechanism and cannot be ignored.

  • (3)

    The method proposed in this study can predict gas production when the BHP is known, which can be used as a reference for the design of development plans.

  • (4)

    The greater the fracture porosity, the greater the free gas reserves in the fracture. The free gas in fractures cannot be ignored when calculating reserves for fractured shale gas reservoirs.

  • (5)

    The larger the Langmuir volume, the higher the adsorbed gas reserves. The greater the TOC, the greater the dissolved gas reserves.

  • (6)

    The volume of adsorbed phase decreases as the Langmuir pressure and adsorbed phase density increase, and it increases as the Langmuir volume increases. The pore volume occupied by the adsorbed phase could be neglected if the Langmuir pressure and density of the adsorbed phase are ultimately large or the Langmuir volume is ultimately small.

Acknowledgments

The authors would like to acknowledge the support from the Hubei Cooperative Innovation Center of Unconventional Oil and Gas, Yangtze University and the School of Petroleum Engineering, Yangtze University. We are grateful for support from the National Natural Science Foundation of China (NSFC Grant No.: 52004032).

Glossary

Nomenclature

ϕm

free gas porosity in the matrix, fraction

ϕmt

matrix porosity, fraction

smwc

irreducible water saturation in the matrix, fraction

ρb

shale density, g/cm3

ρsc

density of shale gas at the standard state, g/cm3

ρs

density of adsorbed phase at formation conditions, g/cm3

VL

Langmuir volume, m3/t

pL

Langmuir pressure, MPa

p

formation pressure, MPa

Gm

free gas reserves in the matrix, m3

Bg

gas formation volume factor, m3/m3

Vm

total volume of the matrix, m3

Vf

pore volume of the fractures, m3

ϕf

fracture porosity, fraction

Gf

free gas reserves in the fractures, m3

sfwc

irreducible water saturation in fractures, fraction

Gfree

free gas reserves in the matrix and fractures, m3

Ga

reserves of adsorbed gas, m3

Gd

dissolved gas reserves in kerogen, m3

c(p)

methane solubility in the kerogen, m3/m3

Vdiff

fraction of total volume occupied by kerogen, fraction

TOC

total organic carbon, %

ρko

kerogen density, g/cm3

ϕa

adsorbed phase porosity, fraction

ϕorg

organic porosity, fraction

T

temperature of the reservoir, K

ΔVa

change volume of adsorbed phase, m3

ΔVcm

change volume of stress sensitivity and irreducible water expansion in the matrix, m3

cm

matrix compressibility, MPa–1

cw

water compressibility, MPa–1

ΔVcf

change volume of stress sensitivity and irreducible water expansion in the fractures, m3

cf

fracture compressibility, MPa–1

ΔV

change volume of the pore, m3

VE(p)

amount of adsorbed gas in a unit mass of shale gas, m3/t

Gp

cumulative gas production, m3.

psc

pressure at the standard condition, MPa

Zsc

Z-factor at the standard condition, dimensionless

Tsc

temperature at the standard condition, K

Z

Z-factor at the formation pressure, dimensionless

T

temperature at the reservoir, K

G

original gas-in-place, m3

re

control radius, m

rw

well radius, m

kav

average permeability, μm2

h

reservoir thickness, m

Vb

total volume of rock, m3

Vp

pore volume of the matrix, m3

Vg

free gas volume in the matrix, m3

Va

adsorbed phase volume, m3

Vwi

irreducible water volume, m3

Subscript

i

initial state

p

current state

Superscript

n

current time step

n + 1

next time step

Constant

b1

–0.018931

b2

–0.85048

b3

827.26

b4

–635.26

α

86.4

Appendix A

The fracture porosity is defined as:

graphic file with name ao2c01662_m061.jpg A1

The matrix porosity is expressed as follows:

graphic file with name ao2c01662_m062.jpg A2

Then, the volume of the fracture can be calculated as:

graphic file with name ao2c01662_m063.jpg A3

The matrix pore volume is composed of three parts: the pore volume occupied by the free gas, adsorbed phase, and irreducible water, which is expressed as follows:

graphic file with name ao2c01662_m064.jpg A4

The pore volume occupied by irreducible water is expressed as follows:

graphic file with name ao2c01662_m065.jpg A5

The pore volume occupied by the adsorbed phase is expressed as follows:

graphic file with name ao2c01662_m066.jpg A6

The pore volume occupied by free gas is expressed as follows:

graphic file with name ao2c01662_m067.jpg A7

Substituting eqs A4, A5, A6, A7 into eq A3, the following relationship can be obtained:

graphic file with name ao2c01662_m068.jpg A8

The porosity of free gas in the matrix can be defined as:

graphic file with name ao2c01662_m069.jpg A9

The total volume of rock is expressed as follows:

graphic file with name ao2c01662_m070.jpg A10

Substituting eq A10 into eq A3, the fracture volume is expressed as follows:

graphic file with name ao2c01662_m071.jpg A11

Appendix B

Define the following expression:

graphic file with name ao2c01662_m072.jpg B1
graphic file with name ao2c01662_m073.jpg B2
graphic file with name ao2c01662_m074.jpg B3
graphic file with name ao2c01662_m075.jpg B4

Then, substituting eqs 6, 7, 8, 17, 18, 19, and B1, B2, B3, B4 into eq 21, we obtain

graphic file with name ao2c01662_m076.jpg B5

Multiply both sides by Bg at the same time to get the following formula:

graphic file with name ao2c01662_m077.jpg B6

Organize and get the following formula:

graphic file with name ao2c01662_m078.jpg B7

Divide both sides by GmBgi at the same time to get the following formula:

graphic file with name ao2c01662_m079.jpg B8

As known,

graphic file with name ao2c01662_m080.jpg B9

Substituting eq B9 into eq B8, the following formula can be obtained:

graphic file with name ao2c01662_m081.jpg B10

Multiply both sides by Inline graphic at the same time to get the following formula:

graphic file with name ao2c01662_m083.jpg B11

Substituting eq B9 into eq B11, the following formula can be obtained:

graphic file with name ao2c01662_m084.jpg B12

Define the following expression:

graphic file with name ao2c01662_m085.jpg B13

Substituting eq B13 into eq B12, the following formula can be obtained:

graphic file with name ao2c01662_m086.jpg B14

As known,

graphic file with name ao2c01662_m087.jpg B15

Substituting eq B15 into eq B14, the following formula can be obtained:

graphic file with name ao2c01662_m088.jpg B16

As known,

graphic file with name ao2c01662_m089.jpg B17

Substituting eq B17 into eq B13, the following formula can be obtained:

graphic file with name ao2c01662_m090.jpg B18

Define the following expression:

graphic file with name ao2c01662_m091.jpg B19
graphic file with name ao2c01662_m092.jpg B20
graphic file with name ao2c01662_m093.jpg B21
graphic file with name ao2c01662_m094.jpg B22
graphic file with name ao2c01662_m095.jpg B23

Substituting eqs B19, B20, B21, B22, and B23 into eq B18, the following formula can be obtained:

graphic file with name ao2c01662_m096.jpg B24
graphic file with name ao2c01662_m097.jpg B25

The pseudopressure can be expressed as:

graphic file with name ao2c01662_m098.jpg B26

Differentiating eq B16 with respect to time, the following formula can be obtained:

graphic file with name ao2c01662_m099.jpg B27

Then,

graphic file with name ao2c01662_m100.jpg B28
graphic file with name ao2c01662_m101.jpg B29

Substituting eqs B24 and B29 into eq B28, the following formula can be obtained:

graphic file with name ao2c01662_m102.jpg B30
graphic file with name ao2c01662_m103.jpg B31
graphic file with name ao2c01662_m104.jpg B32

Equation B33 can be obtained from eqs 11 and 13 as follows:

graphic file with name ao2c01662_m105.jpg B33
graphic file with name ao2c01662_m106.jpg B34
graphic file with name ao2c01662_m107.jpg B35
graphic file with name ao2c01662_m108.jpg B36

Considering Langmuir isotherm adsorption, we obtain

graphic file with name ao2c01662_m109.jpg B37

Differentiating the empirical formula for dissolved gases with respect to pressure, we obtain

graphic file with name ao2c01662_m110.jpg B38

In the pseudosteady state, for variable flow/variable pressure, the material balance pseudotime is introduced:

graphic file with name ao2c01662_m111.jpg B39

Calculate the integral of eq B30 and substitute eq B39 into eq B30:

graphic file with name ao2c01662_m112.jpg B40

Substituting eq B15 into eq 40, we obtain

graphic file with name ao2c01662_m113.jpg B41

By taking the derivative of eq B41, we obtain

graphic file with name ao2c01662_m114.jpg B42

and

graphic file with name ao2c01662_m115.jpg B43

Substituting eq B43 into eq B42, we obtain

graphic file with name ao2c01662_m116.jpg B44

For a radius r, we obtain

graphic file with name ao2c01662_m117.jpg B45

Assuming rwre, from eqs B45 and B44, we obtain

graphic file with name ao2c01662_m118.jpg B46

In the state of pseudosteady flow, considering the Darcy flow, we obtain

graphic file with name ao2c01662_m119.jpg B47

Substituting eqs B17 and B26 into eq B47 and integrating eq B47, we obtain

graphic file with name ao2c01662_m120.jpg B48

Assuming rwre, we obtain

graphic file with name ao2c01662_m121.jpg B49

and

graphic file with name ao2c01662_m122.jpg B50

Substituting eq B49 into eq B50, we obtain

graphic file with name ao2c01662_m123.jpg B51

Define the following expression:

graphic file with name ao2c01662_m124.jpg B52

Substituting eq B52 into eq B51, we obtain

graphic file with name ao2c01662_m125.jpg B53

Substituting eq B53 into eq B40, we obtain

graphic file with name ao2c01662_m126.jpg B54

Substituting eq B54 into eq B41, we obtain

graphic file with name ao2c01662_m127.jpg B55

Author Contributions

Y.Z. and Y.L. were involved in conceptualization and methodology preparation; M.Z. was involved in supervision; Z.B. was involved in data analysis; L.Y. was involved in data collection; and B.J. was involved in documentation.

The authors declare no competing financial interest.

References

  1. Ambrose R. J.; Hartman R. C.; Akkutlu I. Y.. Multi-component sorbed phase considerations for shale gas-in-place calculations. In SPE Production and Operations Symposium, 2011, 10.2118/141416-MS. [DOI] [Google Scholar]
  2. Hartman R. C.; Ambrose R. J.; Akkutlu I. Y.; Clarkson C. R.. Shale Gas-in-Place Calculations Part II—Multi-component Gas Adsorption Effects. In North American unconventional gas conference and exhibition, 2011, 10.2118/144097-MS. [DOI] [Google Scholar]
  3. Zhang Y.; Ju B.; Zhang M.; Wang C.; Zeng F.; Hu R.; Yang L. The effect of salt precipitation on the petrophysical properties and the adsorption capacity of shale matrix based on the porous structure reconstruction. Fuel 2022, 310, 122287 10.1016/j.fuel.2021.122287. [DOI] [Google Scholar]
  4. Lopez B.; Aguilera R.. Evaluation of quintuple porosity in shale petroleum reservoirs. In SPE Eastern Regional Meeting, 2013, 10.2118/165681-MS. [DOI] [Google Scholar]
  5. Orozco D.; Aguilera R.. A Material Balance Equation for Stress-Sensitive Shale Gas Reservoirs Considering the Contribution of Free, Adsorbed and Dissolved Gas. In SPE/CSUR Unconventional Resources Conference, 2015, 10.2118/175964-MS. [DOI] [Google Scholar]
  6. Zhang Y.; Yao S.; Zhang M.; Zhou X.; Mei H.; Zeng F. Prediction of adsorption isotherms of multicomponent gas mixtures in tight porous media by the oil–gas-adsorption three-phase vacancy solution model. Energy Fuels 2018, 32, 12166–12173. 10.1021/acs.energyfuels.8b02762. [DOI] [Google Scholar]
  7. Zhang Y.; Zhang M.; Mei H.; Ju B.; Shen J.; Ge L.; Zeng F.. Characterization of factors affecting the well deliverability of Longmaxi shale gas in the Jiaoshiba area by multivariate statistical analysis. In AICHE Annual Conference, 2020, 168750.
  8. Mengal S. A.; Wattenbarger R. A.. Accounting for adsorbed gas in shale gas reservoirs. In SPE middle east oil and gas show and conference, 2011, 10.2118/141085-MS. [DOI]
  9. Li Q.; Li P.; Pang W.; Li D.; Liang H.; Lu D. A new method for production data analysis in shale gas reservoirs. J. Nat. Gas Sci. Eng. 2018, 56, 368–383. 10.1016/j.jngse.2018.05.029. [DOI] [Google Scholar]
  10. King G. R. Material-balance techniques for coal-seam and devonian shale gas reservoirs with limited water influx. SPE Reservoir Eng. 1993, 8, 67–72. 10.2118/20730-PA. [DOI] [Google Scholar]
  11. Ahmed T. H.; Centilmen A.; Roux B. P.. A generalized material balance equation for coalbed methane reservoirs. In SPE annual technical conference and exhibition, 2006, 10.2118/102638-MS. [DOI] [Google Scholar]
  12. Firanda E.The development of material balance equations for coalbed methane reservoirs. In SPE Asia Pacific Oil and Gas Conference and Exhibition, 2011, 10.2118/145382-MS. [DOI] [Google Scholar]
  13. Penuela G.; Ordonez A.; Bejarano A.. A generalized material balance equation for coal seam gas reservoirs. In SPE Annual Technical Conference and Exhibition, 1998, 10.2118/49225-MS. [DOI] [Google Scholar]
  14. Moghadam S.; Jeje O.; Mattar L. Advanced gas material balance in simplified format. J. Can. Pet. Technol. 2011, 50, 90. 10.2118/139428-PA. [DOI] [Google Scholar]
  15. Mattar L.; McNeil R. The flowing gas material balance. J. Can. Pet. Technol. 1998, 37, PETSOC-98-02-06 10.2118/98-02-06. [DOI] [Google Scholar]
  16. Anderson D. M.; Mattar L. An improved pseudo-time for gas reservoirs with significant transient flow. J. Can. Pet. Technol. 2007, 46, PETSOC-07-07-05 10.2118/07-07-05. [DOI] [Google Scholar]
  17. Clarkson C. R.; Bustin R. M.; Seidle J. P. Production-data analysis of single-phase (gas) coalbed-methane wells. SPE Reservoir Eval. Eng. 2007, 10, 312–331. 10.2118/100313-PA. [DOI] [Google Scholar]
  18. Ambrose R. J.; Hartman R. C.; Diaz Campos M.; Akkutlu I. Y.; Sondergeld C.. New pore-scale considerations for shale gas in place calculations. SPE unconventional gas conference, 2010, 10.2118/131772-MS. [DOI] [Google Scholar]
  19. Wei M.; Duan Y.; Dong M.; Fang Q. Blasingame decline type curves with material balance pseudo-time modified for multi-fractured horizontal wells in shale gas reservoirs. J. Nat. Gas Sci. Eng. 2016, 31, 340–350. 10.1016/j.jngse.2016.03.033. [DOI] [Google Scholar]
  20. Zhang Y.; He Z.; Jiang S.; Lu S.; Xiao D.; Chen G.; Li Y. Fracture types in the lower Cambrian shale and their effect on shale gas accumulation, Upper Yangtze. Mar. Pet. Geol. 2019, 99, 282–291. 10.1016/j.marpetgeo.2018.10.030. [DOI] [Google Scholar]
  21. Dejam M.; Hassanzadeh H.; Chen Z. Semi-analytical solution for pressure transient analysis of a hydraulically fractured vertical well in a bounded dual-porosity reservoir. J. Hydrol. 2018, 565, 289–301. 10.1016/j.jhydrol.2018.08.020. [DOI] [Google Scholar]
  22. Zhang T.; Li Z.; Adenutsi C. D.; Lai F. A new model for calculating permeability of natural fractures in dual-porosity reservoir. Adv. Geo-Energy Res. 2017, 1, 86–92. 10.26804/ager.2017.02.03. [DOI] [Google Scholar]
  23. Connell L. D. A new interpretation of the response of coal permeability to changes in pore pressure, stress and matrix shrinkage. Int. J. Coal Geol. 2016, 162, 169–182. 10.1016/j.coal.2016.06.012. [DOI] [Google Scholar]
  24. Liu T.; Tang H.; Liu P.; Lin W.; Su G. Material balance equation and reserves calculation method for fractured closed shale gas reservoirs. Nat. Gas Explor. Dev. 2011, 34, 28–30. [Google Scholar]
  25. Wang D.; Guo P.; Chen H.; Fu W.; Wang Z.; Ding H. Deduction of material balance equation and reserves calculation for new adsorbed gas reservoirs. Lithol. Reservoirs 2012, 24, 83–86. [Google Scholar]
  26. Yang L.; Mei H.; Zhang M.; Yuan E.. Calculation method of shale gas reservoir reserves considering dissolved gas in kerogen. Xinjiang Pet. Geol. 2016, 05. [Google Scholar]
  27. Orozco D.; Aguilera R. A material-balance equation for stress-sensitive shale-gas-condensate reservoirs. SPE Reservoir Eval. Eng. 2017, 20, 197–214. 10.2118/177260-MS. [DOI] [Google Scholar]
  28. He L.; Mei H.; Hu X.; Dejam M.; Kou Z.; Zhang M. Advanced flowing material balance to determine original gas in place of shale gas considering adsorption hysteresis. SPE Reservoir Eval. Eng. 2019, 22, 1282–1292. 10.2118/195581-PA. [DOI] [Google Scholar]
  29. Meng Y.; Li M.; Xiong X.; Liu J.; Zhang J.; Hua J.; Zhang Y. Material balance equation of shale gas reservoir considering stress sensitivity and matrix shrinkage. Arabian .o Geosci. 2020, 13, 1–9. 10.1007/s12517-020-05485-6. [DOI] [Google Scholar]
  30. Williams-Kovacs J. D.; Clarkson C. R.; Nobakht M.. Impact of material balance equation selection on rate-transient analysis of shale gas. In SPE Annual Technical Conference and Exhibition, 2012, 10.2118/158041-MS. [DOI] [Google Scholar]
  31. Dejam M. Advective-diffusive-reactive solute transport due to non-Newtonian fluid flows in a fracture surrounded by a tight porous medium. Int. J. Heat Mass Transfer 2019, 128, 1307–1321. 10.1016/j.ijheatmasstransfer.2018.09.061. [DOI] [Google Scholar]
  32. Langmuir I. The adsorption of gases on plane surfaces of glass, mica and platinum. J. Am. Chem. Soc. 1918, 40, 1361–1403. 10.1021/ja02242a004. [DOI] [Google Scholar]
  33. Mehrotra A. K.; Svrcek W. Y. Correlations for properties of bitumen saturated with CO2, CH4 and N2, and experiments with combustion gas mixtures. J. Can. Pet. Technol. 1982, 21, PETSOC-82-06-05 10.2118/82-06-05. [DOI] [Google Scholar]
  34. Fetkovich M. J.Decline curve analysis using type curves. In Fall Meeting of the Society of Petroleum Engineers of AIME, 1973, 10.2118/4629-MS. [DOI] [Google Scholar]

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

RESOURCES