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Journal Articles

Proved Reserves Revisions: How Reliable Are They?

Enrique Morales, John Lee
Journal: SPE Reservoir Evaluation & Engineering
Publisher: Society of Petroleum Engineers (SPE)
SPE Res Eval & Eng 26 (04): 1468–1483.
Paper Number: SPE-210476-PA
https://doi.org/10.2118/210476-PA
Published: 08 November 2023
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Proceedings Papers

Impact of Well Interference on Transient Pressure Behavior During Underground Gas Storage: A Comparative Study

Hongyang Chu, Jingxuan Zhang, Jiawei Li, Weiyao Zhu, Tianbi Ma, Yubao Gao, W. John Lee
Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214780-MS
https://doi.org/10.2118/214780-MS
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View Paper titled, Impact of Well Interference on Transient Pressure Behavior During Underground Gas Storage: A Comparative Study
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Proceedings Papers

A Practical Production Solution for Multilateral Horizontal Well in Natural Gas Hydrate: Superposition Principle and Reciprocity

Tianbi Ma, Hongyang Chu, Jiawei Li, Jingxuan Zhang, Yubao Gao, Weiyao Zhu, W. John Lee
Paper presented at the SPE Annual Technical Conference and Exhibition, October 16–18, 2023
Paper Number: SPE-214947-MS
https://doi.org/10.2118/214947-MS
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View Paper titled, A Practical Production Solution for Multilateral Horizontal Well in Natural Gas Hydrate: Superposition Principle and Reciprocity
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Proceedings Papers

Bilinear Flow Analysis of Shale Gas Wells with Dynamic Hydraulic Fracture Conductivity

Ivan C. Aldana, I. Yucel Akkutlu, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3862595-MS
https://doi.org/10.15530/urtec-2023-3862595
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View Paper titled, Bilinear Flow Analysis of Shale Gas Wells with Dynamic Hydraulic Fracture Conductivity
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Proceedings Papers

Semi-Analytical Model of A Multi-Well System with well Interference During Underground Gas Storage

Hongyang Chu, Tianbi Ma, Yuwei Jiao, Weiyao Zhu, Jiandong Zou, Yuewei Pan, Yubao Gao, John Lee
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210187-MS
https://doi.org/10.2118/210187-MS
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View Paper titled, Semi-Analytical Model of A Multi-Well System with well Interference During Underground Gas Storage
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Proceedings Papers

A Novel Mittag-Leffler Function Decline Model for Production Forecasting in Multi-Layered Unconventional Oil Reservoirs

Yuewei Pan, Guoxin Li, Wei Ma, W. John Lee, Yulong Yang
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210335-MS
https://doi.org/10.2118/210335-MS
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View Paper titled, A Novel Mittag-Leffler Function Decline Model for Production Forecasting in Multi-Layered Unconventional Oil Reservoirs
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Proceedings Papers

Does the Chow Pressure Group Analysis Provide Any New Information in the RTA of Unconventional Reservoirs?

Himanshu Shekhar Jha, W. John Lee
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210481-MS
https://doi.org/10.2118/210481-MS
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View Paper titled, Does the Chow Pressure Group Analysis Provide Any New Information in the RTA of Unconventional Reservoirs?
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Proceedings Papers

Scaling Improves Type Well Construction

W. John Lee, Himanshu Shekhar Jha
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3718983-MS
https://doi.org/10.15530/urtec-2022-3718983
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Proceedings Papers

Statistical and Machine Learning Methods Help Us Identify Analogous Wells for Enhanced Type Well Construction

Himanshu Shekhar Jha, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722580-MS
https://doi.org/10.15530/urtec-2022-3722580
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View Paper titled, Statistical and Machine Learning Methods Help Us Identify Analogous Wells for Enhanced Type Well Construction
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Proceedings Papers

Forecasting Well-to-Well Interference in the Permian Basin by Applying Neural Networks on Pre-Run Simulations

Yogashri Pradhan, W. John Lee, Duc Lam, Kyle Hanna, Thuy Nguyen, Andrew (Quang) Tran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723394-MS
https://doi.org/10.15530/urtec-2022-3723394
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View Paper titled, Forecasting Well-to-Well Interference in the Permian Basin by Applying Neural Networks on Pre-Run Simulations
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Proceedings Papers

New Model Improves Secondary Phase Production Forecasts

Himanshu Shekhar Jha, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722861-MS
https://doi.org/10.15530/urtec-2022-3722861
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Proceedings Papers

Can Reasonable Certainty be Assessed from Disclosed Proved Reserves Revisions?

Enrique Morales, John Lee
Paper presented at the SPE EuropEC - Europe Energy Conference featured at the 83rd EAGE Annual Conference & Exhibition, June 6–9, 2022
Paper Number: SPE-209695-MS
https://doi.org/10.2118/209695-MS
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Proceedings Papers

Statistical and Machine-Learning Methods Automate Multi-Segment Arps Decline Model Workflow to Forecast Production in Unconventional Reservoirs

Himanshu Shekhar Jha, Aaditya Khanal, John Lee
Paper presented at the SPE Canadian Energy Technology Conference, March 16–17, 2022
Paper Number: SPE-208884-MS
https://doi.org/10.2118/208884-MS
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View Paper titled, Statistical and Machine-Learning Methods Automate Multi-Segment Arps Decline Model Workflow to Forecast Production in Unconventional Reservoirs
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Proceedings Papers

A Novel Semi-Analytical Model for the Multiwell Horizontal Pad with Stimulated Reservoir Volume

Hongyang Chu, Tianbi Ma, Yubao Gao, Weiyao Zhu, John Lee
Paper presented at the International Petroleum Technology Conference, February 21–23, 2022
Paper Number: IPTC-22193-MS
https://doi.org/10.2523/IPTC-22193-MS
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View Paper titled, A Novel Semi-Analytical Model for the Multiwell Horizontal Pad with Stimulated Reservoir Volume
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Proceedings Papers

Outlier Detection Techniques Help Us Identify and Remove Outliers in Production Data to Improve Production Forecasting

Himanshu Shekhar Jha, Hafiz Mustafa Ud Din Sheikh, W John Lee
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208384-MS
https://doi.org/10.15530/AP-URTEC-2021-208384
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View Paper titled, Outlier Detection Techniques Help Us Identify and Remove Outliers in Production Data to Improve Production Forecasting
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Proceedings Papers

Effect of Errors in Initial Pressure Measurement on Rate-Transient Analysis in Unconventional Reservoirs

Himanshu Shekhar Jha, Aaditya Khanal, W John Lee
Paper presented at the SPE/AAPG/SEG Asia Pacific Unconventional Resources Technology Conference, November 16–18, 2021
Paper Number: URTEC-208321-MS
https://doi.org/10.15530/AP-URTEC-2021-208321
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Proceedings Papers

Application of Multiple Diagnostic Plots to Identify End of Linear Flow in Unconventional Reservoirs

Helmi Pratikno, W. John Lee, Cesario K. Torres
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-205906-MS
https://doi.org/10.2118/205906-MS
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Proceedings Papers

Rate/Pressure Transient Analysis of a Variable Bottom Hole Pressure Multi-Well Horizontal Pad with Well Interference

Hongyang Chu, Xinwei Liao, Cao Wei, John Lee
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206046-MS
https://doi.org/10.2118/206046-MS
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View Paper titled, Rate/Pressure Transient Analysis of a Variable Bottom Hole Pressure Multi-Well Horizontal Pad with Well Interference
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Proceedings Papers

Gaussian Quadrature GQ Used to Accurately Approximate the Relative Weights of Reserves, Contingent Resources, and Prospective Resources Through A Cumulative Distribution Function

Nefeli Moridis, W. John Lee, Wayne Sim, Thomas Blasingame
Paper presented at the SPE Annual Technical Conference and Exhibition, September 21–23, 2021
Paper Number: SPE-206097-MS
https://doi.org/10.2118/206097-MS
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View Paper titled, Gaussian Quadrature GQ Used to Accurately Approximate the Relative Weights of Reserves, Contingent Resources, and Prospective Resources Through A Cumulative Distribution Function
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Proceedings Papers

Type Wells – A Physics-Blind Statistical Myth? Our RTA Driven Construction Methodology Proves Otherwise!

Sriniketh Sukumar, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 26–28, 2021
Paper Number: URTEC-2021-5030-MS
https://doi.org/10.15530/urtec-2021-5030
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View Paper titled, Type Wells – A Physics-Blind Statistical Myth? Our RTA Driven Construction Methodology Proves Otherwise!
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