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Journal Articles

A Novel Hybrid Physics/Data-Driven Model for Fractured Reservoir Simulation

Billal Aslam, Bicheng Yan, Knut-Andreas Lie, Stein Krogstad, Olav Møyner, Xupeng He
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 29 (12): 7029–7045.
Paper Number: SPE-219110-PA
https://doi.org/10.2118/219110-PA
Published: 11 December 2024
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Proceedings Papers

TransUNet: Accelerating Multiphase Flow Prediction in Geological Carbon Storage Systems

Zeeshan Tariq, Zhao Feng, Hussein Hoteit, Moataz Abualsaud, Xupeng He, Muhammad AlMajid, Shuyu Sun, Bicheng Yan
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222334-MS
https://doi.org/10.2118/222334-MS
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View Paper titled, TransUNet: Accelerating Multiphase Flow Prediction in Geological Carbon Storage Systems
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Proceedings Papers

Enhanced 3D Pore Segmentation and Multi-Model Pore-Scale Simulation by Deep Learning

Haotian Li, Billal Aslam, Bicheng Yan
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220838-MS
https://doi.org/10.2118/220838-MS
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View Paper titled, Enhanced 3D Pore Segmentation and Multi-Model Pore-Scale Simulation by Deep Learning
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Proceedings Papers

Efficacy Gain From a Deep Neural Network-Based History-Matching Workflow

Bicheng Yan, Yanhui Zhang
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220876-MS
https://doi.org/10.2118/220876-MS
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View Paper titled, Efficacy Gain From a Deep Neural Network-Based History-Matching Workflow
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Proceedings Papers

The U-Net Enhanced Graph Neural Network for Multiphase Flow Prediction: An Implication to Geological Carbon Sequestration

Zeeshan Tariq, Hussein Hoteit, Shuyu Sun, Moataz Abualsaud, Xupeng He, Muhammad AlMajid, Bicheng Yan
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220757-MS
https://doi.org/10.2118/220757-MS
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View Paper titled, The U-Net Enhanced Graph Neural Network for Multiphase Flow Prediction: An Implication to Geological Carbon Sequestration
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Proceedings Papers

DiagNet-A Hybrid Physics-Data Driven Model for Fractured Reservoir Simulation

Billal Aslam, Bicheng Yan, Knut-Andreas Lie, Stein Krogstad, Olav Moyner, Xupeng He
Paper presented at the GOTECH, May 7–9, 2024
Paper Number: SPE-219110-MS
https://doi.org/10.2118/219110-MS
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View Paper titled, DiagNet-A Hybrid Physics-Data Driven Model for Fractured Reservoir Simulation
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Proceedings Papers

A Data-Infused Methodology for Estimating Swelling Potential in Shales Exposed to Various Completion Fluids

Mohammad Rasheed Khan, Zeeshan Tariq, Mobeen Murtaza, Bicheng Yan, Muhammad Shahzad Kamal, Mohamed Mahmoud, Asiya Abbasi
Paper presented at the International Petroleum Technology Conference, February 12, 2024
Paper Number: IPTC-24100-MS
https://doi.org/10.2523/IPTC-24100-MS
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View Paper titled, A Data-Infused Methodology for Estimating Swelling Potential in Shales Exposed to Various Completion Fluids
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Proceedings Papers

Machine Learning accelerated Phase Flash Calculation for CO2–Brine System considering Capillarity Effect

Billal Aslam, Zeeshan Tariq, Bicheng Yan
Paper presented at the International Petroleum Technology Conference, February 12, 2024
Paper Number: IPTC-23762-MS
https://doi.org/10.2523/IPTC-23762-MS
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View Paper titled, Machine Learning accelerated Phase Flash Calculation for CO2–Brine System considering Capillarity Effect
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Proceedings Papers

Prediction of Pure Mineral-H 2 -Brine Wettability Using Data-Driven Machine Learning Modeling: Implications for H 2 Geo-Storage

Muhammad Ali, Zeeshan Tariq, Muhammad Mubashir, Muhammad Shahzad Kamal, Bicheng Yan, Hussein Hoteit
Paper presented at the International Petroleum Technology Conference, February 12, 2024
Paper Number: IPTC-23969-MS
https://doi.org/10.2523/IPTC-23969-MS
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View Paper titled, Prediction of Pure Mineral-H 2 -Brine Wettability Using Data-Driven Machine Learning Modeling: Implications for H 2 Geo-Storage
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Proceedings Papers

Prediction of NMR T2 Macro- and Micro-Porosity with Machine Learning Techniques: Considering the constraints of ECS Lithology Classification

Zhilei Han, Zeeshan Tariq, Bicheng Yan, Xinlei Shi
Paper presented at the International Petroleum Technology Conference, February 12, 2024
Paper Number: IPTC-23490-EA
https://doi.org/10.2523/IPTC-23490-EA
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View Paper titled, Prediction of NMR T2 Macro- and Micro-Porosity with Machine Learning Techniques: Considering the constraints of ECS Lithology Classification
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Journal Articles

Rapid Inference of Reservoir Permeability from Inversion of Traveltime Data Under a Fast Marching Method-Based Deep Learning Framework

Chen Li, Bicheng Yan, Rui Kou, Sunhua Gao
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 28 (06): 2877–2897.
Paper Number: SPE-214385-PA
https://doi.org/10.2118/214385-PA
Published: 13 December 2023
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View article titled, Rapid Inference of Reservoir Permeability from Inversion of Traveltime Data Under a Fast Marching Method-Based Deep Learning Framework
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Proceedings Papers

Enhancing the Resolution of Micro-CT Images of Rock Samples via Unsupervised Machine Learning based on a Diffusion Model

Zhaoyang Ma, Shuyu Sun, Bicheng Yan, Hyung Kwak, Jun Gao
Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214883-MS
https://doi.org/10.2118/214883-MS
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View Paper titled, Enhancing the Resolution of Micro-CT Images of Rock Samples via Unsupervised Machine Learning based on a Diffusion Model
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Proceedings Papers

Rapid Simulation and Optimization of Geological CO 2 Sequestration Using Coarse Grid Network Model

Billal Aslam, Bicheng Yan, Zeeshan Tariq, Stein Krogstad, Knut-Andreas Lie
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215306-MS
https://doi.org/10.2118/215306-MS
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View Paper titled, Rapid Simulation and Optimization of Geological CO 2 Sequestration Using Coarse Grid Network Model
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Proceedings Papers

A Deep Learning Framework to Forecast Spatial-Temporal Dynamics of CO 2 Mineralization in Reactive Rocks

Zeeshan Tariq, Bicheng Yan, Shuyu Sun
Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216998-MS
https://doi.org/10.2118/216998-MS
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View Paper titled, A Deep Learning Framework to Forecast Spatial-Temporal Dynamics of CO 2 Mineralization in Reactive Rocks
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Proceedings Papers

Machine Learning Modeling of Saudi Arabian basalt/CO 2 /brine Wettability Prediction: Implications for CO 2 Geo-Storage

Zeeshan Tariq, Muhammad Ali, Bicheng Yan, Shuyu Sun, Hussein Hoteit
Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0755
https://doi.org/10.56952/ARMA-2023-0755
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View Paper titled, Machine Learning Modeling of Saudi Arabian basalt/CO 2 /brine Wettability Prediction: Implications for CO 2 Geo-Storage
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Proceedings Papers

Enhancing Breakdown Pressure Predictions in Ultra-Tight Formations Through Robust Machine Learning Techniques

Ayyaz Mustafa, Zeeshan Tariq, Manojkumar Gudala, Bicheng Yan, Shuyu Sun, Mohamed Mahmoud
Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0756
https://doi.org/10.56952/ARMA-2023-0756
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View Paper titled, Enhancing Breakdown Pressure Predictions in Ultra-Tight Formations Through Robust Machine Learning Techniques
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Proceedings Papers

Predicting Trapping Indices in CO 2 Sequestration: A Data-Driven Machine Learning Approach for Coupled Chemo-Hydro-Mechanical Models in Deep Saline Aquifers

Zeeshan Tariq, Bicheng Yan, Shuyu Sun
Paper presented at the 57th U.S. Rock Mechanics/Geomechanics Symposium, June 25–28, 2023
Paper Number: ARMA-2023-0757
https://doi.org/10.56952/ARMA-2023-0757
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View Paper titled, Predicting Trapping Indices in CO 2 Sequestration: A Data-Driven Machine Learning Approach for Coupled Chemo-Hydro-Mechanical Models in Deep Saline Aquifers
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Proceedings Papers

Rapid Inference of Reservoir Permeability From Inversion of Travel Time Data Under a Fast Marching Method Based Deep Learning Framework

Chen Li, Bicheng Yan, Rui Kou, Shunhua Gao
Paper presented at the SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference & Exhibition, June 5–8, 2023
Paper Number: SPE-214385-MS
https://doi.org/10.2118/214385-MS
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View Paper titled, Rapid Inference of Reservoir Permeability From Inversion of Travel Time Data Under a Fast Marching Method Based Deep Learning Framework
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Proceedings Papers

A Robust General Physics-Informed Machine Learning Framework for Energy Recovery Optimization in Geothermal Reservoirs

Zhen Xu, Bicheng Yan, Manojkumar Gudala, Zeeshan Tariq
Paper presented at the SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference & Exhibition, June 5–8, 2023
Paper Number: SPE-214352-MS
https://doi.org/10.2118/214352-MS
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View Paper titled, A Robust General Physics-Informed Machine Learning Framework for Energy Recovery Optimization in Geothermal Reservoirs
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Proceedings Papers

Optimization of Carbon-Geo Storage into Saline Aquifers: A Coupled Hydro-Mechanics-Chemo Process

Zeeshan Tariq, Manojkumar Gudala, Bicheng Yan, Shuyu Sun, Zhenghua Rui
Paper presented at the SPE EuropEC - Europe Energy Conference featured at the 84th EAGE Annual Conference & Exhibition, June 5–8, 2023
Paper Number: SPE-214424-MS
https://doi.org/10.2118/214424-MS
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View Paper titled, Optimization of Carbon-Geo Storage into Saline Aquifers: A Coupled Hydro-Mechanics-Chemo Process
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