AI application in Petroleum Science

Published 26 March, 2024

1	Shale gas production evaluation framework based on data-driven models
2	Interpretable machine learning optimization (InterOpt) for operational parameters: A case study of highly-efficient shale gas development
3	A machine learning-based study of multifactor susceptibility and risk control of induced seismicity in unconventional reservoirs
4	Simultaneous denoising and resolution enhancement of seismic data based on elastic convolution dictionary learning
5	Data-driven production optimization using particle swarm algorithm based on the ensemble-learning proxy model
6	Combining unscented Kalman filter and wavelet neural network for anti-slug
7	Bottom hole pressure prediction based on hybrid neural networks and Bayesian optimization
8	Multifractal estimation of NMR T2 cut-off value in low-permeability rocks considering spectrum kurtosis: SMOTE-based oversampling integrated with machine learning
9	Physics-informed neural network-based petroleum reservoir simulation with sparse data using domain decomposition
10	A systematic machine learning method for reservoir identification and production prediction
11	Rock thin-section analysis and identification based on artificial intelligent technique
12	A liquid loading prediction method of gas pipeline based on machine learning
13	Gas liquid cylindrical cyclone flow regime identification using machine learning combined with experimental mechanism explanation
14	How to improve machine learning models for lithofacies identification by practical and novel ensemble strategy and principles
15	Evaluation of hydraulic fracturing of horizontal wells in tight reservoirs based on the deep neural network with physical constraints
16	Support vector regression modeling in recursive just-in-time learning framework for adaptive soft sensing of naphtha boiling point in crude distillation unit
17	Construction of complex digital rock physics based on full convolution network
18	Seismic impedance inversion based on cycle-consistent generative adversarial network
19	A deep-learning-based prediction method of the estimated ultimate recovery (EUR) of shale gas wells
20	Machine learning seismic reservoir prediction method based on virtual sample generation
21	A deep reinforcement learning (DRL) based approach for well-testing interpretation to evaluate reservoir parameters
22	The application of machine learning under supervision in identification of shale lamina combination types — A case study of Chang 73 sub-member organic-rich shales in the Triassic Yanchang Formation, Ordos Basin, NW China
23	Multi-source information fused generative adversarial network model and data assimilation based history matching for reservoir with complex geologies
24	Identification of low-resistivity-low-contrast pay zones in the feature space with a multi-layer perceptron based on conventional well log data
25	Iterative learning-based many-objective history matching using deep neural network with stacked autoencoder

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