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Proceedings Papers

A Hybrid Approach for Production Forecasting and Uncertainty Characterization

Zhenyu Guo, Sathish Sankaran
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220933-MS
https://doi.org/10.2118/220933-MS
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Proceedings Papers

Automated Well and Reservoir Management Using Hybrid Physics and Data-Driven Models - Case Study

Azreen Mustafa, Meher Ravuri, Lianne Heah, Dryonis Pertuso Rodriguez, Varad Sabharwal, Prithvi Singh Chauhan, Sathish Sankaran
Paper presented at the SPE Annual Technical Conference and Exhibition, September 23–25, 2024
Paper Number: SPE-220714-MS
https://doi.org/10.2118/220714-MS
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View Paper titled, Automated Well and Reservoir Management Using Hybrid Physics and Data-Driven Models - Case Study
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Journal Articles

Physics Informed Machine Learning for Reservoir Connectivity Identification and Robust Production Forecasting

Masahiro Nagao, Akhil Datta-Gupta, Tsubasa Onishi, Sathish Sankaran
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 29 (09): 4527–4541.
Paper Number: SPE-219773-PA
https://doi.org/10.2118/219773-PA
Published: 11 September 2024
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View article titled, Physics Informed Machine Learning for Reservoir Connectivity Identification and Robust Production Forecasting
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Proceedings Papers

Application of a Sparse Hybrid Data-Driven and Physics Model in Unconventional Reservoirs for Production Forecasting

Hardikkumar Zalavadia, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4033921-MS
https://doi.org/10.15530/urtec-2024-4033921
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View Paper titled, Application of a Sparse Hybrid Data-Driven and Physics Model in Unconventional Reservoirs for Production Forecasting
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Proceedings Papers

Efficient Asset Optimization with Hybrid Models: Combining Surface Network and Reduced Physics Reservoir Models

Zhenyu Guo, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4036174-MS
https://doi.org/10.15530/urtec-2024-4036174
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View Paper titled, Efficient Asset Optimization with Hybrid Models: Combining Surface Network and Reduced Physics Reservoir Models
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Proceedings Papers

Physics-Informed Machine Learning Approach for Closed-Loop Reservoir Management Using RGNet

Zhenyu Guo, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4036015-MS
https://doi.org/10.15530/urtec-2024-4036015
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View Paper titled, Physics-Informed Machine Learning Approach for Closed-Loop Reservoir Management Using RGNet
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Proceedings Papers

Predicting Hydraulic Fracture Injection Pressure Using Hybrid Model for Completions Optimization

Ruxin Zhang, Hardikkumar Zalavadia, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4028108-MS
https://doi.org/10.15530/urtec-2024-4028108
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View Paper titled, Predicting Hydraulic Fracture Injection Pressure Using Hybrid Model for Completions Optimization
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Proceedings Papers

A Data-Driven Journey into Liquid Loading Detection and Prediction

Utkarsh Sinha, Prithvi Singh Chauhan, Hardikkumar Zalavadia, Arsalan Adil, Sathish Sankaran
Paper presented at the SPE Western Regional Meeting, April 16–18, 2024
Paper Number: SPE-218841-MS
https://doi.org/10.2118/218841-MS
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View Paper titled, A Data-Driven Journey into Liquid Loading Detection and Prediction
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Journal Articles

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
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 29 (02): 885–908.
Paper Number: SPE-212204-PA
https://doi.org/10.2118/212204-PA
Published: 14 February 2024
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View article titled, Guided Deep Learning Manifold Linearization of Porous Media Flow Equations
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Includes: Supplementary Content
Proceedings Papers

Physics-Augmented Data Driven Method to Detect and Quantify the Impact of Well Interference

Utkarsh Sinha, Prithvi Singh Chauhan, Hardikkumar Zalavadia, Varad Sabharwal, Sathish Sankaran, Clark Chen
Paper presented at the ADIPEC, October 2–5, 2023
Paper Number: SPE-216983-MS
https://doi.org/10.2118/216983-MS
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View Paper titled, Physics-Augmented Data Driven Method to Detect and Quantify the Impact of Well Interference
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Journal Articles

Reservoir Modeling, History Matching, and Characterization with a Reservoir Graph Network Model

Zhenyu Guo, Sathish Sankaran, Wenyue Sun
Journal: SPE Reservoir Evaluation & Engineering
Publisher: Society of Petroleum Engineers (SPE)
SPE Res Eval & Eng 26 (03): 905–917.
Paper Number: SPE-209337-PA
https://doi.org/10.2118/209337-PA
Published: 09 August 2023
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View article titled, Reservoir Modeling, History Matching, and Characterization with a Reservoir Graph Network Model
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Proceedings Papers

Unconventional Well Interference Detection Using Physics Informed Data-Driven Model

Utkarsh Sinha, Prithvi Singh Chauhan, Hardikkumar Zalavadia, Sathish Sankaran, Clark Chen
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3854683-MS
https://doi.org/10.15530/urtec-2023-3854683
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View Paper titled, Unconventional Well Interference Detection Using Physics Informed Data-Driven Model
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Proceedings Papers

Physics Informed Data-Driven Models for Discovery of Flow Physics and Forecasts in Unconventional Reservoirs

Hardikkumar Zalavadia, Utkarsh Sinha, Prithvi Singh, Zhenyu Guo, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3858897-MS
https://doi.org/10.15530/urtec-2023-3858897
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View Paper titled, Physics Informed Data-Driven Models for Discovery of Flow Physics and Forecasts in Unconventional Reservoirs
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Proceedings Papers

RGNet for Multi-Well Forecasting in Unconventional Reservoirs

Zhenyu Guo, Sathish Sankaran, Ying Li
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3855422-MS
https://doi.org/10.15530/urtec-2023-3855422
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View Paper titled, RGNet for Multi-Well Forecasting in Unconventional Reservoirs
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Proceedings Papers

Improving Artificial Lift Timing, Selection, and Operations Strategy Using a Physics Informed Data-Driven Method

Hardikkumar Zalavadia, Prithvi Singh, Utkarsh Sinha, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3864002-MS
https://doi.org/10.15530/urtec-2023-3864002
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View Paper titled, Improving Artificial Lift Timing, Selection, and Operations Strategy Using a Physics Informed Data-Driven Method
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Proceedings Papers

Input-Output Invariant Fast Proxy Models for Production Optimization

Marcelo J. Dall'Aqua, Emilio J. R. Coutinho, Eduardo Gildin, Zhenyu Guo, Hardik Zalavadia, Sathish Sankaran
Paper presented at the SPE Latin American and Caribbean Petroleum Engineering Conference, June 14–15, 2023
Paper Number: SPE-213117-MS
https://doi.org/10.2118/213117-MS
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View Paper titled, Input-Output Invariant Fast Proxy Models for Production Optimization
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Proceedings Papers

Discovery of Unconventional Reservoir Flow Physics for Production Forecasting Through Hybrid Data-Driven and Physics Models

Hardikkumar Zalavadia, Utkarsh Sinha, Prithvi Singh, Sathish Sankaran
Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213004-MS
https://doi.org/10.2118/213004-MS
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View Paper titled, Discovery of Unconventional Reservoir Flow Physics for Production Forecasting Through Hybrid Data-Driven and Physics Models
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Proceedings Papers

Real Time Artificial Lift Timing and Selection Using Hybrid Data-Driven and Physics Models

Hardikkumar Zalavadia, Metin Gokdemir, Utkarsh Sinha, Prithvi Singh, Sathish Sankaran
Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213040-MS
https://doi.org/10.2118/213040-MS
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View Paper titled, Real Time Artificial Lift Timing and Selection Using Hybrid Data-Driven and Physics Models
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Proceedings Papers

Hybrid Multiphase Rate Forecasting Model in Liquid Wells for Unconventional Reservoirs

Utkarsh Sinha, Hardikkumar Zalavadia, Prithvi Singh Chauhan, Sathish Sankaran
Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-212981-MS
https://doi.org/10.2118/212981-MS
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View Paper titled, Hybrid Multiphase Rate Forecasting Model in Liquid Wells for Unconventional Reservoirs
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Proceedings Papers

Distributed Agent Optimization for Large-Scale Network Models

Masahiro Nagao, Sathish Sankaran, Zhenyu Guo
Paper presented at the SPE Western Regional Meeting, May 22–25, 2023
Paper Number: SPE-213022-MS
https://doi.org/10.2118/213022-MS
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View Paper titled, Distributed Agent Optimization for Large-Scale Network Models
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