| Abbreviation | Definition | Abbreviation | Definition |
| RF | Random Forest | DNN | Deep Neural Network |
| GAM | Generalized Additive Model | MELM | Multivariate Empirical Mode Decomposition |
| NN | Neural Network | ANFIS | Adaptive Neuro-Fuzzy Inference System |
| SVR-GA | Support Vector Regression with Genetic Algorithm | SOM | Self-Organizing Map |
| SVR-PSO | Support Vector Regression with Particle Swarm Optimization | ANN | Artificial Neural Network |
| SVR-FFA | Support Vector Regression with Firefly Algorithm | MRGC | Maximum Relevant Gain Clustering |
| GB | Gradient Boosting | CatBoost | Categorical Boosting |
| LSSVM-CSA | Least Squares Support Vector Machine with Cuckoo Search Algorithm | MLR | Multiple Linear Regression |
| AHC | Agglomerative Hierarchical Clustering | SVM | Support Vector Machine |
| XGBoost | Extreme Gradient Boosting | FN | Fuzzy Network |
| GPR | Gaussian Process Regression | LDA | Linear Discriminant Analysis |
| LWQPSO-ANN | Linearly Weighted Quantum Particle Swarm Optimization with Artificial Neural Network | LSSVM | Least Squares Support Vector Machine |
| PCA | Principal Component Analysis | DL | Deep Learning |
| MLP-ANN | Multilayer Perceptron with Artificial Neural Network | MLSTM | Multilayer Long Short-Term Memory |
| MLP-PSO | Multilayer Perceptron with Particle Swarm Optimization | GRU | Gated Recurrent Unit |
| DT | Decision Tree | AdaBoost | Adaptive Boosting |
| LSTM | Long Short-Term Memory | LSTM-AE-IF | Long Short-Term Memory Autoencoder with Isolation Forest |
| KNN | k-Nearest Neighbors | DNN | Deep Neural Network |
| NB | Naive Bayes | CNN | Convolutional Neural Network |
| GP | Genetic Programming | O&G | Oil and Gas |
| ELM | Extreme Learning Machine | AI | Artificial Intelligence |
| DF | Deep Forest | MSE | Mean Squared Error |
| QDA | Quadratic Discriminant Analysis | MAPE | Mean Absolute Percentage Error |
| ML | Machine Learning | AAPE | Arithmetic Average Percentage Error |
| DGA | Dissolved Gas Analysis | SMAPE | Symmetric Mean Absolute Percentage Error |
| RMSE | Root Mean Squared Error | RSE | Relative Squared Error |
| MAE | Mean Absolute Error | RFR | Random Forest Regression |
| AUC | Area Under the Curve | FNACC | Faulty-Normal Accuracy |
| ARE | Absolute Relative Error | TPC | Total Percent Correct |
| EVS | Explained Variance Score | VAF | Variance Accounted For |
| DTR | Decision Tree Regression | WI | Weighted Index |
| PLR | Polynomial Linear Regression | LMI | Linear Mean Index |
| SNR | Signal-to-Noise Ratio | AP | Average Precision |
| RFNACC | Real Faulty-Normal Accuracy | MAP | Mean Average Percentage |
| RMSPE | Root Mean Square Percentage Error | ARD | Absolute Relative Difference |
| MARE | Mean Absolute Relative Error | Mpa | Megapascal |
| SI | Severity Index | P-JUS-CKGL | Pressure Downstream of Gas Lift Choke |
| ENS | Energy Normalized Score | P-CKGL | Pressure Downstream of Gas Lift Choke (CKGL) |
| MPE | Mean Percentage Error | QGL | Gas Lift Flow Rate |
| R | Correlation of Coefficient | T-PDG | Temperature at the Permanent Downhole Gauge Sensor |
| AARD | Average Absolute Relative Deviation | T-PCK | Temperature Downstream of the Production Choke |
| P-PDG | Pressure at Permanent Downhole Gauge (PDG) | LSB | Least Square Boosting |
| P-TPT | Pressure at Temperature/Pressure Transducer (TPT) | PLS | Partial Least Squares |
| T-TPT | Temperature at TPT | FPM | Feature Projection Model |
| P-MON-CKP | Pressure Upstream of Production Choke (CKP) | FP-DNN | Feature Projection-Deep Neural Network |
| T-JUS-CKP | Pressure Downstream of CKP | GNN | Graph Neural Network |
| T-JUS-CKGL | Temperature Downstream of CKGL | MLP | Multilayer Perceptron |
| FP-PLS | Feature Projection-PLS | Bi-LSTM | Bidirectional Long Short-Term |
| MGGP | Multi-Gene Genetic Programming | SHAP | Shapley Additive Explanation |
| xNES | Exponential Natural Evolution Strategies | LR | Logistic Regression |
| RNN | Recurrent Neural Network | LOF | Local Outlier Factor |
| LGBM | Light Gradient Boosting Machine | ICA | Imperialist Competitive Algorithm |
| SMOTE | Synthetic Minority Oversampling Technique | SFLA | Shuffled Frog-Leaping Algorithm |
| LIME | Local Interpretable Model-Agnostic Explanations | SA | Simulated Annealing |
| XAI | Explainable Artificial Intelligence | PBBLR | Physics-Based Bayesian Linear Regression |
| GSK | Gaining-Sharing Knowledge-Based Algorithm | ARIMA | Autoregressive Integrated Moving Average |
| BayesOpt-XGBoost | Bayesian oOptimization XGBoost | GM | Generalized Method of Moments |
| FA | Firefly Algorithm | PSO-FDGGM | PSO-Based Data Grouping Grey Model with a Fractional Order ccumulation |
| COA | Cuckoo Optimization Algorithm | PSOGM | PSO for Grey Model |
| GWO | Grey Wolf Optimizer | LSSVM | Least Square Support Vector Machine |
| HAS | Harmony Search | GA | Genetic Algorithm |
| BLR | Bayesian Linear Regression | OCSVM | One-Class Support Vector Machine |
| SARIMA | Seasonal Autoregressive Integrated Moving Average | BAE | Basic Autoencoder |
| GM | Grey Model | CAE | Convolutional Autoencoder |
| FGM | Fractional Grey Model | AE | Autoencoder |
| DGGM | Data Grouping-Based Grey Modeling Method | VAE | Variational Autoencoder |
| GPR | Gaussian Process Regression | MARS | Multivariate Adaptive Regression Spline |