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Proceedings Papers

Use of Machine Learning to Predict Maximum Borehole Diameter for Multi-Stage Frac Completions

Murtadha J. Al Tammar, Khaqan Khan, Rima T. Alfaraj, Rayan A. Alidi, Khalid M. Alruwaili
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3852484-MS
https://doi.org/10.15530/urtec-2023-3852484
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View Paper titled, Use of Machine Learning to Predict Maximum Borehole Diameter for Multi-Stage Frac Completions
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Proceedings Papers

Basin-Scale Geologic Clustering for Delaware Basin Type Curve Area Delineation: Operator Workflows and Applications

James Cassanelli, Edward Wolfram
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3849338-MS
https://doi.org/10.15530/urtec-2023-3849338
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View Paper titled, Basin-Scale Geologic Clustering for Delaware Basin Type Curve Area Delineation: Operator Workflows and Applications
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Proceedings Papers

Integrated Petrophysical Characterization of Hydrocarbon Shale Unconventional Reservoirs Using a Rock Typing Approach, Case Study, Vaca Muerta Play, Neuquén Basin, Argentina

Rafael Panesso, Alfonso Quaglia, Guillermo Alzate, Juan Porras
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3860586-MS
https://doi.org/10.15530/urtec-2023-3860586
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View Paper titled, Integrated Petrophysical Characterization of Hydrocarbon Shale Unconventional Reservoirs Using a Rock Typing Approach, Case Study, Vaca Muerta Play, Neuquén Basin, Argentina
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Proceedings Papers

Application of Combined Statistics, Machine Learning and Game Theory Approach for Shale Gas Production Performance Evaluation: Insights of Frac-Hit Timing and Severity

Chunyu Zhang, Yuewei Pan, Wei Ma, Ran Bi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3857336-MS
https://doi.org/10.15530/urtec-2023-3857336
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View Paper titled, Application of Combined Statistics, Machine Learning and Game Theory Approach for Shale Gas Production Performance Evaluation: Insights of Frac-Hit Timing and Severity
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Proceedings Papers

Field Application of a Novel Multi-Resolution Multi-Well Unconventional Reservoir Simulation: History Matching and Parameter Identification

Jia Fu, Hongquan Chen, Changqing Yao, Shohei Sakaida, Erich Kerr, Andrew Johnson, Akhil Datta-Gupta, Ding Zhu, A. Daniel Hill
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3857125-MS
https://doi.org/10.15530/urtec-2023-3857125
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View Paper titled, Field Application of a Novel Multi-Resolution Multi-Well Unconventional Reservoir Simulation: History Matching and Parameter Identification
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Proceedings Papers

Application of Data Analytics to Chemometric Analysis of Conventionally Produced Oil Samples from the Delaware Basin

Timothy Carpp, Julia Reece, Mauro Becker, Siddharth Misra
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3857064-MS
https://doi.org/10.15530/urtec-2023-3857064
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View Paper titled, Application of Data Analytics to Chemometric Analysis of Conventionally Produced Oil Samples from the Delaware Basin
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Proceedings Papers

Data-Driven Completion Optimization for Unconventional Assets

Diana Chimnaz Johan, Priyavrat Shukla, Kaustubh Shrivastava, Manas Koley
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3861032-MS
https://doi.org/10.15530/urtec-2023-3861032
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View Paper titled, Data-Driven Completion Optimization for Unconventional Assets
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Proceedings Papers

A Novel Choke Management Evaluation Workflow Using Calibrated Hydraulic Fractures and Embedded Discrete Fracture Model for Deep Shale Gas Reservoirs

Chuxi Liu, Cheng Chang, Xingchen Wang, Wei Yu, Jijun Miao, Kamy Sepehrnoori
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3871574-MS
https://doi.org/10.15530/urtec-2023-3871574
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View Paper titled, A Novel Choke Management Evaluation Workflow Using Calibrated Hydraulic Fractures and Embedded Discrete Fracture Model for Deep Shale Gas Reservoirs
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Proceedings Papers

High-Resolution Core Study Relating Chemofacies to Reservoir Quality: Examples from the Permian Wolfcamp XY Formation, Delaware Basin, Texas

Shaskia Herida Putri, Zane Jobe, Lesli J. Wood, Jesse Melick, Marsha French, Katharina Pfaff
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3871113-MS
https://doi.org/10.15530/urtec-2023-3871113
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View Paper titled, High-Resolution Core Study Relating Chemofacies to Reservoir Quality: Examples from the Permian Wolfcamp XY Formation, Delaware Basin, Texas
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Proceedings Papers

Basin-Specific Optimization of an Automated Geosteering Algorithm Using Simulated Stratigraphy

Kenneth McCarthy, Andrew Pare, Levi Heintzelman, Marc Willerth, Alexander Mitkus, Tannor Ziehm, Timothy Gee, Paul Reynerson
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3870880-MS
https://doi.org/10.15530/urtec-2023-3870880
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View Paper titled, Basin-Specific Optimization of an Automated Geosteering Algorithm Using Simulated Stratigraphy
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Proceedings Papers

Estimating Real-Time Pore Pressure at the Bit via Machine Learning

Matthew Reilly, Gareth Taylor, Orlando De Jesus, Muhlis Unaldi, John Thurmond, Mike Party, Koda Chovanetz
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865091-MS
https://doi.org/10.15530/urtec-2023-3865091
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View Paper titled, Estimating Real-Time Pore Pressure at the Bit via Machine Learning
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Proceedings Papers

Machine Learning Facilitates Prediction of Geomechanical Properties Directly from SEM Images in Unconventional Plays

Heehwan Yang, Deepak Devegowda, Mark Curtis, Chandra Rai
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3866084-MS
https://doi.org/10.15530/urtec-2023-3866084
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View Paper titled, Machine Learning Facilitates Prediction of Geomechanical Properties Directly from SEM Images in Unconventional Plays
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Proceedings Papers

A Shapley Approach to Permian Rock Quality

Emily Head, Stephen Sagriff, Stephen Pratt, Brad Bernard
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3864794-MS
https://doi.org/10.15530/urtec-2023-3864794
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View Paper titled, A Shapley Approach to Permian Rock Quality
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Proceedings Papers

A Comprehensive Review of Fracture-Driven Interaction in Unconventional Oil and Gas Plays: Characterization, Real-Time Diagnosis, and Impact on Production

Harpreet Singh, Peng Cheng, Yuwei Pan, Chengxi Li, Yu Liu, Xi Wu, Mary Van Domelen, Samuel Rogers, Arash Dahi Taleghani, Meng Cao
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3866134-MS
https://doi.org/10.15530/urtec-2023-3866134
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View Paper titled, A Comprehensive Review of Fracture-Driven Interaction in Unconventional Oil and Gas Plays: Characterization, Real-Time Diagnosis, and Impact on Production
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Proceedings Papers

Rock Thin-Section Analysis and Mineral Detection Utilizing Deep Learning Approach

Fatick Nath, Sarker Asish, Shaon Sutradhar, Zhiyang Li, Nazmul Shahadat, Happy R. Debi, S. M. Shamsul Hoque
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865660-MS
https://doi.org/10.15530/urtec-2023-3865660
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View Paper titled, Rock Thin-Section Analysis and Mineral Detection Utilizing Deep Learning Approach
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Proceedings Papers

Data Driven Oil Production Prediction and Uncertainty Quantification for Unconventional Asset Development Planning Through Machine Learning

Xiang (Rex) Ren, Jichao Yin, Feng Xiao, Sasha Miao, Sri Lolla, Changqing Yao, Steve Lonnes, Huafei Sun, Yang Chen, James Brown, Jorge Garzon, Piyush Pankaj
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865670-MS
https://doi.org/10.15530/urtec-2023-3865670
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View Paper titled, Data Driven Oil Production Prediction and Uncertainty Quantification for Unconventional Asset Development Planning Through Machine Learning
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Proceedings Papers

Optimizing Production Potential of Unconventional Oil and Gas Wells: Insights from Statistical and Machine Learning Analysis of Well Spacing, Sequencing, and Landing Zone TVD Across Eleven North American Plays

Harpreet Singh, Chengxi Li, Peng Cheng, Huailiang Liu
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3866325-MS
https://doi.org/10.15530/urtec-2023-3866325
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View Paper titled, Optimizing Production Potential of Unconventional Oil and Gas Wells: Insights from Statistical and Machine Learning Analysis of Well Spacing, Sequencing, and Landing Zone TVD Across Eleven North American Plays
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Proceedings Papers

Maximizing Efficiency of Deep-Reinforcement Learning Agents in Autonomous Directional Drilling with Hyperparameter Optimization

Vivek Kesireddy, Georgy Kompantsev, Sheelabhadra Dey, Eduardo Gildin, Enrique Z. Losoya, Narendra Vishnumolakala
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865879-MS
https://doi.org/10.15530/urtec-2023-3865879
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View Paper titled, Maximizing Efficiency of Deep-Reinforcement Learning Agents in Autonomous Directional Drilling with Hyperparameter Optimization
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Proceedings Papers

Auto-Identification and Real-Time Warning Method of Multiple Type Events During Multistage Horizontal Well Fracturing

Mingze Zhao, Yue Li, Yuyang Liu, Bin Yuan, Siwei Meng, Wei Zhang, He Liu
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3863378-MS
https://doi.org/10.15530/urtec-2023-3863378
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View Paper titled, Auto-Identification and Real-Time Warning Method of Multiple Type Events During Multistage Horizontal Well Fracturing
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Proceedings Papers

Understanding Unconventional Reservoirs with an Integrated Physics and Machine Learning Based Methods – Case Studies and Novel Approaches from Tight Gas and Tight Oil Reservoir

Gaurav Sharma, Breandan Gaffney, Jaron Van Dijken, Jim Lee, Marshal Doig
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3863143-MS
https://doi.org/10.15530/urtec-2023-3863143
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View Paper titled, Understanding Unconventional Reservoirs with an Integrated Physics and Machine Learning Based Methods – Case Studies and Novel Approaches from Tight Gas and Tight Oil Reservoir
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