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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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View Paper titled, A Hybrid Approach for Production Forecasting and Uncertainty Characterization
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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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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
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

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

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

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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Proceedings Papers

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
Paper presented at the SPE Reservoir Simulation Conference, March 28–30, 2023
Paper Number: SPE-212204-MS
https://doi.org/10.2118/212204-MS
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View Paper titled, Guided Deep Learning Manifold Linearization of Porous Media Flow Equations
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Proceedings Papers

Modeling Unconventional Reservoirs Using a Graph Network Model

Zhenyu Guo, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3718999-MS
https://doi.org/10.15530/urtec-2022-3718999
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View Paper titled, Modeling Unconventional Reservoirs Using a Graph Network Model
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Proceedings Papers

Efficient Reservoir Management with a Reservoir Graph Network Model

Zhenyu Guo, Wenyue Sun, Sathish Sankaran
Paper presented at the SPE Western Regional Meeting, April 26–28, 2022
Paper Number: SPE-209337-MS
https://doi.org/10.2118/209337-MS
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View Paper titled, Efficient Reservoir Management with a Reservoir Graph Network Model
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Proceedings Papers

INSIM-FPT-3D: A Data-Driven Model for History Matching, Water-Breakthrough Prediction and Well-Connectivity Characterization in Three-Dimensional Reservoirs

Hui Zhao, Wei Liu, Xiang Rao, Guanglong Sheng, Huazhou Andy Li, Zhenyu Guo, Deng Liu, Lin Cao
Paper presented at the SPE Reservoir Simulation Conference, October 26, 2021
Paper Number: SPE-203931-MS
https://doi.org/10.2118/203931-MS
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View Paper titled, INSIM-FPT-3D: A Data-Driven Model for History Matching, Water-Breakthrough Prediction and Well-Connectivity Characterization in Three-Dimensional Reservoirs
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Journal Articles

Flow-Path Tracking Strategy in a Data-Driven Interwell Numerical Simulation Model for Waterflooding History Matching and Performance Prediction with Infill Wells

Hui Zhao, Lingfei Xu, Zhenyu Guo, Qi Zhang, Wei Liu, Xiaodong Kang
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 25 (02): 1007–1025.
Paper Number: SPE-199361-PA
https://doi.org/10.2118/199361-PA
Published: 16 April 2020
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View article titled, Flow-Path Tracking Strategy in a Data-Driven Interwell Numerical Simulation Model for Waterflooding History Matching and Performance Prediction with Infill Wells
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Proceedings Papers

INSIM-FT-3D: A Three-Dimensional Data-Driven Model for History Matching and Waterflooding Optimization

Zhenyu Guo, Albert C. Reynolds
Paper presented at the SPE Reservoir Simulation Conference, April 10–11, 2019
Paper Number: SPE-193841-MS
https://doi.org/10.2118/193841-MS
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View Paper titled, INSIM-FT-3D: A Three-Dimensional Data-Driven Model for History Matching and Waterflooding Optimization
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Journal Articles

Integration of Support Vector Regression With Distributed Gauss-Newton Optimization Method and Its Applications to the Uncertainty Assessment of Unconventional Assets

Zhenyu Guo, Chaohui Chen, Guohua Gao, Richard Cao, Ruijian Li, Chunlei Liu
Journal: SPE Reservoir Evaluation & Engineering
Publisher: Society of Petroleum Engineers (SPE)
SPE Res Eval & Eng 21 (04): 1007–1026.
Paper Number: SPE-191373-PA
https://doi.org/10.2118/191373-PA
Published: 15 November 2018
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View article titled, Integration of Support Vector Regression With Distributed Gauss-Newton Optimization Method and Its Applications to the Uncertainty Assessment of Unconventional Assets
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Journal Articles

Enhancing the Performance of the Distributed Gauss-Newton Optimization Method by Reducing the Effect of Numerical Noise and Truncation Error With Support-Vector Regression

Zhenyu Guo, Chaohui Chen, Guohua Gao, Jeroen Vink
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 23 (06): 2428–2443.
Paper Number: SPE-187430-PA
https://doi.org/10.2118/187430-PA
Published: 22 October 2018
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View article titled, Enhancing the Performance of the Distributed Gauss-Newton Optimization Method by Reducing the Effect of Numerical Noise and Truncation Error With Support-Vector Regression
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Journal Articles

Robust Life-Cycle Production Optimization With a Support-Vector-Regression Proxy

Zhenyu Guo, Albert C. Reynolds
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 23 (06): 2409–2427.
Paper Number: SPE-191378-PA
https://doi.org/10.2118/191378-PA
Published: 08 October 2018
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View article titled, Robust Life-Cycle Production Optimization With a Support-Vector-Regression Proxy
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Journal Articles

A Physics-Based Data-Driven Model for History Matching, Prediction, and Characterization of Waterflooding Performance

Zhenyu Guo, Albert C. Reynolds, Hui Zhao
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 23 (02): 367–395.
Paper Number: SPE-182660-PA
https://doi.org/10.2118/182660-PA
Published: 19 December 2017
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View article titled, A Physics-Based Data-Driven Model for History Matching, Prediction, and Characterization of Waterflooding Performance
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Proceedings Papers

Applying Support Vector Regression to Reduce the Effect of Numerical Noise and Enhance the Performance of History Matching

Zhenyu Guo, Chaohui Chen, Guohua Gao, Jeroen Vink
Paper presented at the SPE Annual Technical Conference and Exhibition, October 9–11, 2017
Paper Number: SPE-187430-MS
https://doi.org/10.2118/187430-MS
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View Paper titled, Applying Support Vector Regression to Reduce the Effect of Numerical Noise and Enhance the Performance of History Matching
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