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Proceedings Papers

A Data-Driven Deep Learning Framework for Microbial Reaction Prediction for Hydrogen Underground Storage

Klemens Katterbauer, Abdallah Al Shehri, Abdulaziz Qasim, Ali Yousif
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212187-MS
DOI: https://doi.org/10.2118/212187-MS
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A Novel Machine-Learning Assisted Phase-Equilibrium Calculation Model for Liquid-Rich Shale Reservoirs

Fangxuan Chen, Sheng Luo, Shihao Wang, Hadi Nasrabadi
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212193-MS
DOI: https://doi.org/10.2118/212193-MS
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Feature Extraction in Time-Lapse Seismic Using Deep Learning for Data Assimilation

Rodrigo Exterkoetter, Gustavo Rachid Dutra, Leandro Passos de Figueiredo, Fernando Bordignon, Alexandre Anozé Emerick, Gilson Moura Silva Neto
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212196-MS
DOI: https://doi.org/10.2118/212196-MS
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Reservoir Connectivity Identification and Robust Production Forecasting Using Physics Informed Machine Learning

Masahiro Nagao, Akhil Datta-Gupta, Tsubasa Onishi, Sathish Sankaran
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212201-MS
DOI: https://doi.org/10.2118/212201-MS
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A Physics-Informed Neural Network for Temporospatial Prediction of Hydraulic-Geomechanical Processes

Chi Zhang, Shihao Wang, Yu-Shu Wu
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212202-MS
DOI: https://doi.org/10.2118/212202-MS
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Guided Deep Learning Manifold Linearization of Porous Media Flow Equations

Marcelo J. Dall'Aqua, Emilio J. R. Coutinho, Eduardo Gildin, Zhenyu Guo, Hardik Zalavadia, Sathish Sankaran
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212204-MS
DOI: https://doi.org/10.2118/212204-MS
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Deep Learning-Based Multiresolution Parameterization for Spatially Adaptive Model Updating

Mahammad Valiyev, Syamil Mohd Razak, Behnam Jafarpour
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212167-MS
DOI: https://doi.org/10.2118/212167-MS
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Physics-Aware Deep-Learning-Based Proxy Reservoir Simulation Model Equipped with State and Well Output Prediction

Emilio J. R. Coutinho, Marcelo J. Dall'Aqua, Eduardo Gildin
Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203994-MS
DOI: https://doi.org/10.2118/203994-MS
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Physics Inspired Machine Learning for Solving Fluid Flow in Porous Media: A Novel Computational Algorithm for Reservoir Simulation

Chico Sambo, Yin Feng
Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203917-MS
DOI: https://doi.org/10.2118/203917-MS
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Reduced-Order Modeling for Multiphase Flow Using a Physics-Based Deep Learning

Thamer Alsulaimani, Mary Wheeler
Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203965-MS
DOI: https://doi.org/10.2118/203965-MS
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Physics Informed Deep Learning for Flow and Transport in Porous Media

Cedric G. Fraces, Hamdi Tchelepi
Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203934-MS
DOI: https://doi.org/10.2118/203934-MS
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Constructing Dual-Porosity Models from High-Resolution Discrete-Fracture Models Using Deep Neural Networks

Xupeng He, Ryan Santoso, Marwa Alsinan, Hyung Kwak, Hussein Hoteit
Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203901-MS
DOI: https://doi.org/10.2118/203901-MS
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History Matching Complex 3D Systems Using Deep-Learning-Based Surrogate Flow Modeling and CNN-PCA Geological Parameterization

Meng Tang, Yimin Liu, Louis J. Durlofsky
Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203924-MS
DOI: https://doi.org/10.2118/203924-MS
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Deep Learning for Latent Space Data Assimilation LSDA in Subsurface Flow Systems

Syamil Mohd Razak, Atefeh Jahandideh, Ulugbek Djuraev, Behnam Jafarpour
Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203997-MS
DOI: https://doi.org/10.2118/203997-MS
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Artificial Neural Network Modeling of Compaction-Dilation Data for Unconventional Oil Reservoirs

Eugene Fedutenko, Long Nghiem, Chaodong Yang, Tong Chen, Mojtaba Seifi
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193811-MS
DOI: https://doi.org/10.2118/193811-MS
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Accelerated Compositional Simulation of Tight Oil and Shale Gas Reservoirs Using Proxy Flash Calculation

Shihao Wang, Nicolas Sobecki, Didier Ding, Yu-Shu Wu, Lingchen Zhu
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193878-MS
DOI: https://doi.org/10.2118/193878-MS
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Integration of Deep Learning and Data Analytics for SAGD Temperature and Production Analysis

Zhiwei Ma, Juliana Y. Leung
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193829-MS
DOI: https://doi.org/10.2118/193829-MS
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Deep Model Reduction-Model Learning for Reservoir Simulation

Jingyan Zhang, Siu Wun Cheung, Yalchin Efendiev, Eduardo Gildin, Eric T. Chung
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193912-MS
DOI: https://doi.org/10.2118/193912-MS
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Data-Driven Discovery of Unconventional Shale Reservoir Dynamics

Hector Klie, Horacio Florez
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193904-MS
DOI: https://doi.org/10.2118/193904-MS
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Artificial Neural Network Accelerated Flash Calculation for Compositional Simulations

Kun Wang, Jia Luo, Lin Yan, Yizheng Wei, Keliu Wu, Jing Li, Fuli Chen, Xiaohu Dong, Zhangxin Chen
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193896-MS
DOI: https://doi.org/10.2118/193896-MS
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