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Proceedings Papers

Modeling Unconventional Reservoirs Using a Graph Network Model

Zhenyu Guo, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3718999-MS
DOI: https://doi.org/10.15530/urtec-2022-3718999
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Proceedings Papers

Enhancing Well Performance and Operator Profit by Optimizing Well Completion Design - A Delaware Basin Case Study

Yanli Pei, Hongjie Xiong
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3690988-MS
DOI: https://doi.org/10.15530/urtec-2022-3690988
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View Paper titled, Enhancing Well Performance and Operator Profit by Optimizing Well Completion Design - A Delaware Basin Case Study
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Proceedings Papers

Leveraging Stochastic Inversion to Increase Understanding of Drilling and Completion Hazards in the Midland Basin

Dennis Ellison, Zahary Vera, Carla Diaz
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3716775-MS
DOI: https://doi.org/10.15530/urtec-2022-3716775
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View Paper titled, Leveraging Stochastic Inversion to Increase Understanding of Drilling and Completion Hazards in the Midland Basin
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Proceedings Papers

Multiphase Flowing Material Balance Without Relative Permeability Curves

Leslie G. Thompson, Barry A. Ruddick
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3718045-MS
DOI: https://doi.org/10.15530/urtec-2022-3718045
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View Paper titled, Multiphase Flowing Material Balance Without Relative Permeability Curves
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Proceedings Papers

A Multi-Disciplinary Approach to Evaluating Development Strategies in the Marcellus to Address Well Spacing, In-fill Timing and Operational Sequencing

Bilu Cherian, Habib Guerrero, Richard Pratt, Tracy Lombardi, Zach Swanson, Olubiyi Olaoye, Santhosh Narasimhan, Yulia Faulkner
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3718453-MS
DOI: https://doi.org/10.15530/urtec-2022-3718453
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View Paper titled, A Multi-Disciplinary Approach to Evaluating Development Strategies in the Marcellus to Address Well Spacing, In-fill Timing and Operational Sequencing
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Proceedings Papers

Towards Quantitative Assessment of 4D DAS Time Shifts for Enhanced Stimulated Rock Volume Characterization

Yesser Haj Nasser
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3710162-MS
DOI: https://doi.org/10.15530/urtec-2022-3710162
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View Paper titled, Towards Quantitative Assessment of 4D DAS Time Shifts for Enhanced Stimulated Rock Volume Characterization
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Proceedings Papers

Accelerating Development Optimization in the Bakken Using an Integrated Fracture Diagnostic Pilot

Yueming Liang, Holger Meier, Karthik Srinivasan, Hussain Tahir, Alberto Ortega, Kelvin Amalokwu, James Friedrich, Joy Okpala, Kendal Decker, Matthew Brown, Tim Benish, Haylee Crozier, Peeyush Bhargava, Prasad Sumant, James Reavis
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3719696-MS
DOI: https://doi.org/10.15530/urtec-2022-3719696
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View Paper titled, Accelerating Development Optimization in the Bakken Using an Integrated Fracture Diagnostic Pilot
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Proceedings Papers

Robust Uncertainty Quantification of Fracture Geometries Through Automatic History Matching with Application in Real Shale Gas

Yuchen Xiao, Chuxi Liu, Wei Yu, Kamy Sepehrnoori, Corwin Zigler
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3720381-MS
DOI: https://doi.org/10.15530/urtec-2022-3720381
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View Paper titled, Robust Uncertainty Quantification of Fracture Geometries Through Automatic History Matching with Application in Real Shale Gas
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Simultaneous Auto-Calibrations of Complex Fracture Configurations in Multi-Well Development Scenario in Uinta Basin with Embedded Discrete Fracture Model and Multivariate Gaussian Distributions

Yuchen Xiao, Chuxi Liu, Wei Yu, Kamy Sepehrnoori, Corwin Zigler
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3720388-MS
DOI: https://doi.org/10.15530/urtec-2022-3720388
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View Paper titled, Simultaneous Auto-Calibrations of Complex Fracture Configurations in Multi-Well Development Scenario in Uinta Basin with Embedded Discrete Fracture Model and Multivariate Gaussian Distributions
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Proceedings Papers

Application of Flowing Material Balance to Estimate Fillup in Saltwater Disposal Reservoirs

Gerardo Jimenez
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3720455-MS
DOI: https://doi.org/10.15530/urtec-2022-3720455
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View Paper titled, Application of Flowing Material Balance to Estimate Fillup in Saltwater Disposal Reservoirs
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Proceedings Papers

Rapid Simulation of Unconventional Reservoirs Using Multi-Domain Multi-Resolution Discretization Based on the Diffusive Time of Flight

Hongquan Chen, Kazuyuki Terada, Ao Li, Akhil Datta-Gupta
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723026-MS
DOI: https://doi.org/10.15530/urtec-2022-3723026
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View Paper titled, Rapid Simulation of Unconventional Reservoirs Using Multi-Domain Multi-Resolution Discretization Based on the Diffusive Time of Flight
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Proceedings Papers

Improving Analytical Flowing Material Balance Workflow Considering Formation Water Production

ShiowHuoy (Stephanie) Lim, Vivek Muralidharan, Soodabeh Esmaili, Spencer McKone
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722261-MS
DOI: https://doi.org/10.15530/urtec-2022-3722261
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View Paper titled, Improving Analytical Flowing Material Balance Workflow Considering Formation Water Production
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Proceedings Papers

Integrating Induced Seismicity Observations & Discrete Fracture Network Modelling to Characterize the Natural Fracture Architecture of the Montney Formation, British Columbia

Steve Rogers, Scott McKean
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722789-MS
DOI: https://doi.org/10.15530/urtec-2022-3722789
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View Paper titled, Integrating Induced Seismicity Observations & Discrete Fracture Network Modelling to Characterize the Natural Fracture Architecture of the Montney Formation, British Columbia
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Proceedings Papers

Petrophysical Modeling to Improve the Understanding of Geothermal Exploration in a Sedimentary Field on Texas Gulf Coast Basin

Laura Ortiz-Sanguino, Cesar Vivas, Danny Rehg, Denise Knight, Stephanie Perry, Adam Bradley, Heather Bedle, Saeed Salehi, Sean Marshall
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722276-MS
DOI: https://doi.org/10.15530/urtec-2022-3722276
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View Paper titled, Petrophysical Modeling to Improve the Understanding of Geothermal Exploration in a Sedimentary Field on Texas Gulf Coast Basin
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Proceedings Papers

A Comparison of Element of Symmetry Proxy Models to Full-Well Models in Horizontal-Well Tight Gas Reservoirs

Anthony Small, Peter Bastian, George Voneiff
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722676-MS
DOI: https://doi.org/10.15530/urtec-2022-3722676
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View Paper titled, A Comparison of Element of Symmetry Proxy Models to Full-Well Models in Horizontal-Well Tight Gas Reservoirs
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Proceedings Papers

Multi-Bench, Multi-Well Interference in an Unconventional Reservoir: Field Observations and Numerical Studies in the Texas Delaware Basin

Hamid Behzadi, Yongduk Shin
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722340-MS
DOI: https://doi.org/10.15530/urtec-2022-3722340
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View Paper titled, Multi-Bench, Multi-Well Interference in an Unconventional Reservoir: Field Observations and Numerical Studies in the Texas Delaware Basin
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Proceedings Papers

Prospectivity Assessment of Bazhenov Formation Using Cutting-Edge Integrated Static Model

Alexander Ugryumov, Daria Petrova, Irina Sannikova, Anton Kasyanenko, Michael Khachaturyan, Alexander Kolomytsev, Taras Yuschenko, Bogdan Plotnikov, Ilnur Karimov
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723536-MS
DOI: https://doi.org/10.15530/urtec-2022-3723536
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View Paper titled, Prospectivity Assessment of Bazhenov Formation Using Cutting-Edge Integrated Static Model
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Proceedings Papers

An Integrated Reservoir Modeling Case Study in the Permian Basin: Model Calibration and Predictions

M. Gaddipati, H. Sarak, B. Musgrove, T. Itibrout, J. Stachowiak, T. Firincioglu
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723983-MS
DOI: https://doi.org/10.15530/urtec-2022-3723983
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View Paper titled, An Integrated Reservoir Modeling Case Study in the Permian Basin: Model Calibration and Predictions
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Proceedings Papers

The Role of Geomodelling to Optimize Unconventionals Development in the AI Era. Examples From an Operator Perspective

Rosa Aguilar
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723946-MS
DOI: https://doi.org/10.15530/urtec-2022-3723946
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View Paper titled, The Role of Geomodelling to Optimize Unconventionals Development in the AI Era. Examples From an Operator Perspective
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Proceedings Papers

Combining Machine Learning and Reservoir Simulation for Robust Optimization of Completion Design and Well Location of Unconventional Wells

Carlos Calad, Javad Rafiee, Pallav Sarma, Yong Zhao, Dayanara Betancourt
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3723680-MS
DOI: https://doi.org/10.15530/urtec-2022-3723680
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View Paper titled, Combining Machine Learning and Reservoir Simulation for Robust Optimization of Completion Design and Well Location of Unconventional Wells
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