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Proceedings Papers

Physics Informed Deep Learning Models for Improving Shale and Tight Forecast Scalability and Reliability

Kainan Wang, Lichi Deng, Yuzhe Cai, Guido Di Federico, Keith Ramsaran, Mun Hong Hui, Hussein Alboudwarej, Christian Hager, Yuguang Chen, Xian-Huan Wen
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4042557-MS
https://doi.org/10.15530/urtec-2024-4042557
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View Paper titled, Physics Informed Deep Learning Models for Improving Shale and Tight Forecast Scalability and Reliability
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Proceedings Papers

Real-time Electrical Submersible Pump Smart Alarms Suite Enabled Through Data Analytics and Edge-based Virtual Flowmeter

Lichi Deng, Amey Ambade, Miguel Hernandez de la Bastida, Daniel Davalos, Julia Carrera Zanafria, Supriya Gupta
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209958-MS
https://doi.org/10.2118/209958-MS
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Proceedings Papers

Automated Well Production and Gas Lift System Diagnostics and Optimization Using Augmented AI Approach in a Complex Offshore Field

Mahmoud Elwan, Ehsan Davani, Shawket G. Ghedan, Hesham Mousa, Rami Kansao, Meher Surendra, Lichi Deng, Mahmoud Korish, Eman Shahin, Mohamed Ibrahim, Tarek Eid, Lamia Rouis
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206213-MS
https://doi.org/10.2118/206213-MS
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View Paper titled, Automated Well Production and Gas Lift System Diagnostics and Optimization Using Augmented AI Approach in a Complex Offshore Field
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Proceedings Papers

A Data-Driven Workflow for Identifying Optimum Horizontal Subsurface Targets

Amir Salehi, Izzet Arslan, Lichi Deng, Hamed Darabi, Johanna Smith, Sander Suicmez, David Castiñeira, Emmanuel Gringarten
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205837-MS
https://doi.org/10.2118/205837-MS
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View Paper titled, A Data-Driven Workflow for Identifying Optimum Horizontal Subsurface Targets
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Proceedings Papers

A Novel Probabilistic Approach for GOR Forecast in Unconventional Oil Reservoirs

Yuewei Pan, Guoxin Li, Jianhua Qin, Jing Zhang, Lichi Deng, Ran Bi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5068-MS
https://doi.org/10.15530/urtec-2021-5068
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Journal Articles

Machine-Learning-Assisted Closed-Loop Reservoir Management Using Echo State Network for Mature Fields under Waterflood

Lichi Deng, Yuewei Pan
Journal: SPE Reservoir Evaluation & Engineering
Publisher: Society of Petroleum Engineers (SPE)
SPE Res Eval & Eng 23 (04): 1298–1313.
Paper Number: SPE-200862-PA
https://doi.org/10.2118/200862-PA
Published: 12 November 2020
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View article titled, Machine-Learning-Assisted Closed-Loop Reservoir Management Using Echo State Network for Mature Fields under Waterflood
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Proceedings Papers

Deep-Learning-Based Automated Stratigraphic Correlation

Yury Tokpanov, Johanna Smith, Zheren Ma, Lichi Deng, Wassim Benhallam, Amir Salehi, Xiang Zhai, Hamed Darabi, David Castineira
Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201459-MS
https://doi.org/10.2118/201459-MS
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Proceedings Papers

Automated Gas Lift System Optimization Through Combined Data Analytics and Wellbore Modeling Approach: A Case Study in an Offshore Middle East Oilfield

Meher Surendra, Lichi Deng, Rami Kansao, Ehsan Davani, Hamed Darabi, David Castineira
Paper presented at the SPE Annual Technical Conference and Exhibition, October 26–29, 2020
Paper Number: SPE-201298-MS
https://doi.org/10.2118/201298-MS
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View Paper titled, Automated Gas Lift System Optimization Through Combined Data Analytics and Wellbore Modeling Approach: A Case Study in an Offshore Middle East Oilfield
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Proceedings Papers

Data-Driven Deconvolution Using Echo-State Networks Enhances Production Data Analysis in Unconventional Reservoirs

Yuewei Pan, Lichi Deng, John Lee
Paper presented at the SPE Eastern Regional Meeting, October 15–17, 2019
Paper Number: SPE-196598-MS
https://doi.org/10.2118/196598-MS
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View Paper titled, Data-Driven Deconvolution Using Echo-State Networks Enhances Production Data Analysis in Unconventional Reservoirs
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Proceedings Papers

An Effective Physics-Based Deep Learning Model for Enhancing Production Surveillance and Analysis in Unconventional Reservoirs

Yuewei Pan, Ran Bi, Peng Zhou, Lichi Deng, John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-145-MS
https://doi.org/10.15530/urtec-2019-145
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View Paper titled, An Effective Physics-Based Deep Learning Model for Enhancing Production Surveillance and Analysis in Unconventional Reservoirs
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Proceedings Papers

Production Analysis and Forecasting for Unconventional Reservoirs Using Laplacian Echo-State Networks

Yuewei Pan, Peng Zhou, Lichi Deng, John Lee
Paper presented at the SPE Western Regional Meeting, April 23–26, 2019
Paper Number: SPE-195243-MS
https://doi.org/10.2118/195243-MS
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View Paper titled, Production Analysis and Forecasting for Unconventional Reservoirs Using Laplacian Echo-State Networks
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Proceedings Papers

Hypervolume-Based Multiobjective Optimization for Gas Lift Systems

Lichi Deng, Feyisayo Olalotiti-Lawal, Ehsan Davani, David Castiñeira
Paper presented at the SPE Oklahoma City Oil and Gas Symposium, April 9–10, 2019
Paper Number: SPE-195208-MS
https://doi.org/10.2118/195208-MS
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Journal Articles

Theoretical Investigation of the Transition From Spontaneous to Forced Imbibition

Lichi Deng, Michael J. King
Journal: SPE Journal
Publisher: Society of Petroleum Engineers (SPE)
SPE J. 24 (01): 215–229.
Paper Number: SPE-190309-PA
https://doi.org/10.2118/190309-PA
Published: 31 December 2018
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Proceedings Papers

Rapid and Comprehensive Artificial Lift Systems Performance Analysis Through Data Analytics, Diagnostics and Solution Evaluation

Lichi Deng, Ehsan Davani, Hamed Darabi, Vural Sander Suicmez, David Castiñeira
Paper presented at the SPE Middle East Artificial Lift Conference and Exhibition, November 28–29, 2018
Paper Number: SPE-192460-MS
https://doi.org/10.2118/192460-MS
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View Paper titled, Rapid and Comprehensive Artificial Lift Systems Performance Analysis Through Data Analytics, Diagnostics and Solution Evaluation
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Proceedings Papers

Theoretical Investigation of Water Blocking in Unconventional Reservoirs Due to Spontaneous Imbibition and Water Adsorption

Lichi Deng, Michael J. King
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2875353-MS
https://doi.org/10.15530/URTEC-2018-2875353
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View Paper titled, Theoretical Investigation of Water Blocking in Unconventional Reservoirs Due to Spontaneous Imbibition and Water Adsorption
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Proceedings Papers

Theoretical Investigation of the Transition from Spontaneous to Forced Imbibition

Lichi Deng, Michael J. King
Paper presented at the SPE Improved Oil Recovery Conference, April 14–18, 2018
Paper Number: SPE-190309-MS
https://doi.org/10.2118/190309-MS
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View Paper titled, Theoretical Investigation of the Transition from Spontaneous to Forced Imbibition
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Proceedings Papers

Estimation of Relative Permeability from Laboratory Displacement Experiments Application of the Analytic Solution with Capillary Corrections

Lichi Deng, Michael J. King
Paper presented at the Abu Dhabi International Petroleum Exhibition & Conference, November 7–10, 2016
Paper Number: SPE-183139-MS
https://doi.org/10.2118/183139-MS
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View Paper titled, Estimation of Relative Permeability from Laboratory Displacement Experiments Application of the Analytic Solution with Capillary Corrections
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Proceedings Papers

Capillary Corrections to Buckley-Leverett Flow

Lichi Deng, Michael J. King
Paper presented at the SPE Annual Technical Conference and Exhibition, September 28–30, 2015
Paper Number: SPE-175150-MS
https://doi.org/10.2118/175150-MS
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View Paper titled, Capillary Corrections to Buckley-Leverett Flow
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