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Proceedings Papers

Optimization of Parent-Child Well Spacing and Completion Design: A Delaware Basin Case Study

Hongjie Xiong, Prakhar Sarkar, Sangcheol Yoon
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4023356-MS
https://doi.org/10.15530/urtec-2024-4023356
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View Paper titled, Optimization of Parent-Child Well Spacing and Completion Design: A Delaware Basin Case Study
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Proceedings Papers

Resolving Multiphase Fractions in Horizontal Wells Using Speed of Sound Measured with Distributed Acoustic Sensors and a PVT Database

Peyman Moradi, Brian Seabrook, Neal Adair, Ricardo Garza
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4017241-MS
https://doi.org/10.15530/urtec-2024-4017241
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View Paper titled, Resolving Multiphase Fractions in Horizontal Wells Using Speed of Sound Measured with Distributed Acoustic Sensors and a PVT Database
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Proceedings Papers

A Physics-Based Approach to Characterize Productivity Loss in the Haynesville Shale

Chad Jongeling, Jerrod Ryan, Christopher Ponners, Dominick Wytovich, Joe Miller, Josh Jackson, Mark McClure, Garrett Fowler
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4033310-MS
https://doi.org/10.15530/urtec-2024-4033310
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View Paper titled, A Physics-Based Approach to Characterize Productivity Loss in the Haynesville Shale
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Proceedings Papers

Towards Universal Production Forecasting via Adversarial Transfer Learning and Transformer with Application in the Shengli Oilfield, China

Ji Chang, Jin Meng, Dongwei Zhang, Tianrui Ye, Han Wang, Yitian Xiao
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4032318-MS
https://doi.org/10.15530/urtec-2024-4032318
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View Paper titled, Towards Universal Production Forecasting via Adversarial Transfer Learning and Transformer with Application in the Shengli Oilfield, China
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Proceedings Papers

Effective Fracture Geometry Analysis Based on Data of Well Production, Pressure Gauge, and Strain Change of HFTS-1-III in Eagle Ford Shale

Fatima Almarzoog, Kan Wu, Ge Jin
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4034948-MS
https://doi.org/10.15530/urtec-2024-4034948
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View Paper titled, Effective Fracture Geometry Analysis Based on Data of Well Production, Pressure Gauge, and Strain Change of HFTS-1-III in Eagle Ford Shale
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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

A Semi-Analytical Poroelastic Solution of Induced Pressure-Stress Changes and Its Applications to Depletion Delineation of Transversely Isotropic Shale Reservoirs

Shihao Wang, Yuzhe Cai, Bin Wang, Yunhui Tan, Kainan Wang, Jiehao Wang, Xinghui Liu, Yuguang Chen
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4027422-MS
https://doi.org/10.15530/urtec-2024-4027422
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View Paper titled, A Semi-Analytical Poroelastic Solution of Induced Pressure-Stress Changes and Its Applications to Depletion Delineation of Transversely Isotropic Shale Reservoirs
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Proceedings Papers

An Experimental Study of the Effect of Capillary Condensation on the Geomechanical Properties of Tight Rocks

Aamer Albannay, Amena Alharthi, Abdulla Al Hashmi, Sherif Elazab, Abdulla Al Blooshi, Hassan Al Marzooqi, Muhammad Baig, Binh Bui
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4028637-MS
https://doi.org/10.15530/urtec-2024-4028637
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View Paper titled, An Experimental Study of the Effect of Capillary Condensation on the Geomechanical Properties of Tight Rocks
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Proceedings Papers

Completion Optimization in Vaca Muerta Formation Using DOE, Numerical Simulation, and Statistic Models

Lucas Calello, Marcelo Pellicer, Pablo Crespo, Adrian Rasgido
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4042562-MS
https://doi.org/10.15530/urtec-2024-4042562
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View Paper titled, Completion Optimization in Vaca Muerta Formation Using DOE, Numerical Simulation, and Statistic Models
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Proceedings Papers

Small Pores Have a Big Impact on Enhanced Recovery from Tight Oil Reservoirs

David Reichhardt, B. Todd Hoffman
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4038756-MS
https://doi.org/10.15530/urtec-2024-4038756
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View Paper titled, Small Pores Have a Big Impact on Enhanced Recovery from Tight Oil Reservoirs
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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

Probabilistic Modeling of Well Interference for Shale and Tight Development with Subsurface Uncertainty

Yuguang Chen, Ryan Burke, Tom Tran, Andrew Roark, Scott Hanson
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4042580-MS
https://doi.org/10.15530/urtec-2024-4042580
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View Paper titled, Probabilistic Modeling of Well Interference for Shale and Tight Development with Subsurface Uncertainty
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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

Quantifying Well Communication Using Flowback and Early-Time Production Data

A-L. L. Benson, H. Hamdi, C. R. Clarkson
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043791-MS
https://doi.org/10.15530/urtec-2024-4043791
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View Paper titled, Quantifying Well Communication Using Flowback and Early-Time Production Data
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Proceedings Papers

Child Well Performance Predictions

Samaneh Razzaghi, David Bonar, Jerry Tkachyk, Ashley Kalenchuk
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044039-MS
https://doi.org/10.15530/urtec-2024-4044039
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Proceedings Papers

Analytical and Machine Learning Based Modifications to Unconventional Reservoir Simulation Models to Capture Near-Fracture Transient Effects

Hector E. Barrios-Molano, Alvaro Rey, Shihao Wang
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044074-MS
https://doi.org/10.15530/urtec-2024-4044074
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View Paper titled, Analytical and Machine Learning Based Modifications to Unconventional Reservoir Simulation Models to Capture Near-Fracture Transient Effects
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Proceedings Papers

Evaluation of Empirical Correlations and Time Series Models for the Prediction and Forecast of Unconventional Wells Production in Wolfcamp A Formation

Aimen Laalam, Houdaifa Khalifa, Habib Ouadi, Mouna Keltoum Benabid, Olusegun Stanley Tomomewo, Mouad Al Krmagi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043738-MS
https://doi.org/10.15530/urtec-2024-4043738
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View Paper titled, Evaluation of Empirical Correlations and Time Series Models for the Prediction and Forecast of Unconventional Wells Production in Wolfcamp A Formation
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Proceedings Papers

Artificial Intelligence Integration for Optimal Reservoir Data Analysis and Pattern Recognition

Leon Hamilton, Marianne Rauch
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4054687-MS
https://doi.org/10.15530/urtec-2024-4054687
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View Paper titled, Artificial Intelligence Integration for Optimal Reservoir Data Analysis and Pattern Recognition
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Proceedings Papers

Numerical Simulation of FDI Impacts on Parent Well LPO and Child Well EUR in S&T

Han Young Park, Yunhui Tan, Satyajit Taware, Junjie Yang, Zhenzhen Wang
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044785-MS
https://doi.org/10.15530/urtec-2024-4044785
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View Paper titled, Numerical Simulation of FDI Impacts on Parent Well LPO and Child Well EUR in S&T
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Proceedings Papers

Evaluation of Enhanced Oil Recovery from the Powder River Basin Turner Shale via the SuperEOR and UltraEOR Processes

Robert A. Downey, Kiran K. Venepalli, Morgan A. Whitelock
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4054041-MS
https://doi.org/10.15530/urtec-2024-4054041
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View Paper titled, Evaluation of Enhanced Oil Recovery from the Powder River Basin Turner Shale via the SuperEOR and UltraEOR Processes
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