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Proceedings Papers

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

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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

A New Hybrid Workflow for Cost-Effective and Efficient Field Development Planning and Execution

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J. D. Williams-Kovacs, D. Deryushkin, B. Hepburn, N. Alexander, C. R. Clarkson
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043465-MS
https://doi.org/10.15530/urtec-2024-4043465
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View Paper titled, A New Hybrid Workflow for Cost-Effective and Efficient Field Development Planning and Execution
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Proceedings Papers

A Machine Learning Approach to Basin Scale Inventory Forecasting and Development Planning that Accounts for Complex Well Interactions

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Charles Connell, Kyle LaMotta, Clark Munger, Joe Wicker
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4036541-MS
https://doi.org/10.15530/urtec-2024-4036541
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View Paper titled, A Machine Learning Approach to Basin Scale Inventory Forecasting and Development Planning that Accounts for Complex Well Interactions
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Proceedings Papers

Efficient Asset Optimization with Hybrid Models: Combining Surface Network and Reduced Physics Reservoir Models

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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

Optimizing Infill Development in the Delaware Basin Through Integration of Geochemistry, Tracer, Pre-Frac Step down Test, and Pressure Data

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Jana Bachleda, Ruben Cisneros, Dan Carson, Helm Donahue, Michael Manigold, Muqing Jin, Shuangyu Ge, Jiang Wu, Faye Liu
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4042489-MS
https://doi.org/10.15530/urtec-2024-4042489
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View Paper titled, Optimizing Infill Development in the Delaware Basin Through Integration of Geochemistry, Tracer, Pre-Frac Step down Test, and Pressure Data
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Proceedings Papers

Efficient Field Development Decisions Driven by Artificial Intelligence: A Permian Basin Example

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Hui Zhou, Johan A. Daal, Tom Williford, Qin Lu, Michael Burkard, Lee McAuliffe, M. D. Rincones, Rafael Paz Lopez
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044067-MS
https://doi.org/10.15530/urtec-2024-4044067
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View Paper titled, Efficient Field Development Decisions Driven by Artificial Intelligence: A Permian Basin Example
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Proceedings Papers

Accelerating Optimization of Unconventional Fracturing Design with Multi-Component Subsurface Surveillance: A Case Study from the Permian Basin

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James Cooper, Amit Singh, Lokendra Jain, Josh Haataja, Saken Galimzhanov, Mike Craven, Kristen Belcourt, Tyler Stom
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044437-MS
https://doi.org/10.15530/urtec-2024-4044437
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View Paper titled, Accelerating Optimization of Unconventional Fracturing Design with Multi-Component Subsurface Surveillance: A Case Study from the Permian Basin
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Proceedings Papers

Novel Well Design for Unconventionals: Augmented Drainage Development (ADD)

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Craig Cipolla, Aicha Kechemir, Michael McKimmy, Khalid Shaarawi, Robert Fast
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044110-MS
https://doi.org/10.15530/urtec-2024-4044110
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View Paper titled, Novel Well Design for Unconventionals: Augmented Drainage Development (ADD)
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Proceedings Papers

Artificial Intelligence Integration for Optimal Reservoir Data Analysis and Pattern Recognition

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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

Integrate Data Analytics with Engineering Workflows to Deliver Business Value: Application of Explainable AI to Estimate Lateral Length Scaling Factors for Field Development and Planning in the Delaware Basin

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Yuxing Ben, Tasos Boulis, Pablo Cabal, Jaeyoung Park, Soodabeh Esmaili
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4055232-MS
https://doi.org/10.15530/urtec-2024-4055232
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View Paper titled, Integrate Data Analytics with Engineering Workflows to Deliver Business Value: Application of Explainable AI to Estimate Lateral Length Scaling Factors for Field Development and Planning in the Delaware Basin
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Proceedings Papers

Marcellus Field Development Optimization: Multi-Bench Evaluation in Bradford County, PA

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Jose Zaghloul, Roberto Wagner, Travis Glauser, Chance Morgan, Patrick Crump, Ashley Mercer, Matt Mantell, Dave Ratcliff, Garrett Fowler, Mark McClure
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044722-MS
https://doi.org/10.15530/urtec-2024-4044722
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View Paper titled, Marcellus Field Development Optimization: Multi-Bench Evaluation in Bradford County, PA
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Proceedings Papers

Optimizing Unconventional Reservoir Development: Data-Driven Quantification, Probabilistic Validation, and Insights into Well Spacing Interference and Parent-Child Impact

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Richard Cao
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4055381-MS
https://doi.org/10.15530/urtec-2024-4055381
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View Paper titled, Optimizing Unconventional Reservoir Development: Data-Driven Quantification, Probabilistic Validation, and Insights into Well Spacing Interference and Parent-Child Impact
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Proceedings Papers

A Holistic Approach for Rapid Unconventional Reservoir Optimization

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Wei Zheng, Raj Banerjee, Rodolfo Carvajal, Manas Koley
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4054874-MS
https://doi.org/10.15530/urtec-2024-4054874
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View Paper titled, A Holistic Approach for Rapid Unconventional Reservoir Optimization
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Proceedings Papers

Numerical Investigation of Fracture Driven Interaction Mitigation Strategies and Field Development Optimization

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Ruiting Wu, Xiaolong Liu, Lili Xu, Brent Kebert, Amit Singh, Le’Kendra B. Fusilier, Yuguang Chen, Jean-Philippe Junca-Laplace, Joe Dunn, A. J. Paine, Bradley Hulme, Peggy Rijken
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4055561-MS
https://doi.org/10.15530/urtec-2024-4055561
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View Paper titled, Numerical Investigation of Fracture Driven Interaction Mitigation Strategies and Field Development Optimization
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Proceedings Papers

Optimizing Field Development Across Northern Delaware Basin for the Wolfcamp C

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M. D. Rincones, I. Perez, J. Dark, A. Dutta, A. Wilkinson, Y. Wang, S. Bey, J. Hanzel, B. Biurchieva, P. Hoang
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3855695-MS
https://doi.org/10.15530/urtec-2023-3855695
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View Paper titled, Optimizing Field Development Across Northern Delaware Basin for the Wolfcamp C
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Proceedings Papers

Field Development Optimization in Midland Basin: An Integrated Multi-Disciplinary Approach

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Antonio Wilkinson, Jason Jweda, Brady Kolb, M. D. Rincones, Kelli Snidow, Carl Warren
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3856029-MS
https://doi.org/10.15530/urtec-2023-3856029
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View Paper titled, Field Development Optimization in Midland Basin: An Integrated Multi-Disciplinary Approach
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Proceedings Papers

Multi-Regression Modeling Approach for Choke Performance and Production Analysis

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Mario Vicente, Raúl Belkenoff
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3852637-MS
https://doi.org/10.15530/urtec-2023-3852637
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View Paper titled, Multi-Regression Modeling Approach for Choke Performance and Production Analysis
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Proceedings Papers

A Rapid and Robust Approach for Optimizing Production in the Northern Delaware Basin

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Cyrille Defeu, Brian Clark, Eric Wigger, Mike Mayerhofer, Todd Passmore, John Speight
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3859461-MS
https://doi.org/10.15530/urtec-2023-3859461
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View Paper titled, A Rapid and Robust Approach for Optimizing Production in the Northern Delaware Basin
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Proceedings Papers

Estimating Fracture Length and Density Using Depletion Mapping from the Drilling Data of Infill Well Pads

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Kevin Wutherich, Brian Sinosic, Erica Coenen
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3863971-MS
https://doi.org/10.15530/urtec-2023-3863971
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View Paper titled, Estimating Fracture Length and Density Using Depletion Mapping from the Drilling Data of Infill Well Pads
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Proceedings Papers

Optimizing Development of Stacked Reservoirs and Identifying Depleted Reservoir Intervals Using Geochemical Data

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Jana Bachleda, Kelsey Call, Doug Hardman, Eli Montoya, Muqing Jin, Jiang Wu, Faye Liu
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3865769-MS
https://doi.org/10.15530/urtec-2023-3865769
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View Paper titled, Optimizing Development of Stacked Reservoirs and Identifying Depleted Reservoir Intervals Using Geochemical Data
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