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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
DOI: 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
DOI: 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
DOI: 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
DOI: https://doi.org/10.15530/urtec-2022-3722861
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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
DOI: 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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Proceedings Papers

Model-based Type Wells Reduce Uncertainty In Production Forecasting For Unconventional Wells

Arjun Ravikumar, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-3245-MS
DOI: https://doi.org/10.15530/urtec-2020-3245
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View Paper titled, Model-based Type Wells Reduce Uncertainty In Production Forecasting For Unconventional Wells
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Proceedings Papers

Rate Transient Analysis of a Multi-Horizontal-Well Pad with a Semi-Analytical Method

Hongyang Chu, Xinwei Liao, Zhiming Chen, W John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 20–22, 2020
Paper Number: URTEC-2020-2572-MS
DOI: https://doi.org/10.15530/urtec-2020-2572
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Proceedings Papers

Estimating Reserves and Tracking the Classification of Reserves and Resources Other Than Reserves (ROTR) in Unconventional Reservoirs

Nefeli Moridis, W. John Lee, Valerie Jochen, Wayne Sim, Thomas Blasingame
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-336-MS
DOI: https://doi.org/10.15530/urtec-2019-336
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View Paper titled, Estimating Reserves and Tracking the Classification of Reserves and Resources Other Than Reserves (ROTR) in Unconventional Reservoirs
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Proceedings Papers

Modified Fetkovich Type Curve Enhances Type Well Construction for Horizontal Wells with Multiple Fractures

Alexander Eleiott, W. John Lee, Nefeli Moridis
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-471-MS
DOI: https://doi.org/10.15530/urtec-2019-471
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View Paper titled, Modified Fetkovich Type Curve Enhances Type Well Construction for Horizontal Wells with Multiple Fractures
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Proceedings Papers

Assessment of the Reliability of Reserves Estimates of Public Companies in the U.S. and Canada

Diana Gomez, W. John Lee, Duane McVay
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-652-MS
DOI: https://doi.org/10.15530/urtec-2019-652
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View Paper titled, Assessment of the Reliability of Reserves Estimates of Public Companies in the U.S. and Canada
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Proceedings Papers

Criteria for Proper Production Decline Models and Algorithm for Decline Curve Parameter Inference

Peng Zhou, Yuewei Pan, Huiyan Sang, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2903078-MS
DOI: https://doi.org/10.15530/URTEC-2018-2903078
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Proceedings Papers

SEC and PRMS Proved Reserves: Why Differences Still Exist

Enrique Morales, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-3003052-MS
DOI: https://doi.org/10.15530/URTEC-2018-3003052
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Proceedings Papers

Modifications for Fracture Damage and Changing Pressure Drawdown to Improve Accuracy of Duong Decline Model

Himanshu S. Jha, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2697591-MS
DOI: https://doi.org/10.15530/URTEC-2017-2697591
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Proceedings Papers

Constructing Enhanced Type Wells Using Cluster-Weighted Modelling

Nitinkumar L. Chaudhary, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2697554-MS
DOI: https://doi.org/10.15530/URTEC-2017-2697554
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Proceedings Papers

Problems With Application of Material Balance Time to Transient Flow Data in Diagnostic Plots

Himanshu S. Jha, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2697627-MS
DOI: https://doi.org/10.15530/URTEC-2017-2697627
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Proceedings Papers

Application of Statistical Methods to Predict Production From Liquid-Rich Shale Reservoirs

Peng Zhou, Huiyan Sang, Liuyi Jin, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 24–26, 2017
Paper Number: URTEC-2694668-MS
DOI: https://doi.org/10.15530/URTEC-2017-2694668
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View Paper titled, Application of Statistical Methods to Predict Production From Liquid-Rich Shale Reservoirs
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Proceedings Papers

Improved Workflow for EUR Prediction in Unconventional Reservoirs

Akash Sharma, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 1–3, 2016
Paper Number: URTEC-2444280-MS
DOI: https://doi.org/10.15530/URTEC-2016-2444280
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Proceedings Papers

How to Model and Improve Our Understanding of Liquid-Rich Shale Reservoirs with Complex Organic/Inorganic Pore Network

Mohammad Khoshghadam, Aaditya Khanal, Neda Rabinejadganji, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 1–3, 2016
Paper Number: URTEC-2459272-MS
DOI: https://doi.org/10.15530/URTEC-2016-2459272
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View Paper titled, How to Model and Improve Our Understanding of Liquid-Rich Shale Reservoirs with Complex Organic/Inorganic Pore Network
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Proceedings Papers

Accurate Forecasting of Liquid Rich Gas Condensate Reservoirs with Multiphase Flow

Aaditya Khanal, Mohammad Khoshghadam, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 1–3, 2016
Paper Number: URTEC-2426222-MS
DOI: https://doi.org/10.15530/URTEC-2016-2426222
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View Paper titled, Accurate Forecasting of Liquid Rich Gas Condensate Reservoirs with Multiphase Flow
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Proceedings Papers

Production Forecasting in Shale Volatile Oil Reservoirs Using Reservoir Simulation, Empirical and Analytical Methods

Ibukun Makinde, W. John Lee
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, August 1–3, 2016
Paper Number: URTEC-2429922-MS
DOI: https://doi.org/10.15530/URTEC-2016-2429922
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View Paper titled, Production Forecasting in Shale Volatile Oil Reservoirs Using Reservoir Simulation, Empirical and Analytical Methods
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