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Proceedings Papers

Bakken Unconventional Well Production Interference Test Analysis

Maxim Kasumov, Yongshe Liu, Alisdair Farthing, Meredith Miller, Aya El Attar
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3715180-MS
DOI: https://doi.org/10.15530/urtec-2022-3715180
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Proceedings Papers

Quantifying the EUR Impact Associated to Drawdown Management Strategies

Agustín Terminiello, Pablo Crespo
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3691609-MS
DOI: https://doi.org/10.15530/urtec-2022-3691609
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Proceedings Papers

Application of Unsupervised-Manifold-Learning for Productivity Driver Evaluation and Production Forecasting in Unconventional Oil Reservoirs

Yang Gao, Yuewei Pan, Jianhua Qin, Enbo Qiu, Wei Ma, Ran Bi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3713006-MS
DOI: https://doi.org/10.15530/urtec-2022-3713006
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View Paper titled, Application of Unsupervised-Manifold-Learning for Productivity Driver Evaluation and Production Forecasting in Unconventional Oil Reservoirs
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Proceedings Papers

Prediction and Analysis of Geomechanical Properties using Deep Learning: A Permian Basin Case Study

Fatick Nath, Karina Murillo, Sarker Monojit Asish, Deepak Ganta, Valeria Limon, Edgardo Aguirre, Gabriel Aguirre, Happy R. Debi, Jose L. Perez, Cesar Netro, Flavio Borjas
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3707202-MS
DOI: https://doi.org/10.15530/urtec-2022-3707202
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View Paper titled, Prediction and Analysis of Geomechanical Properties using Deep Learning: A Permian Basin Case Study
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Proceedings Papers

From WHP to BHP Using Machine Learning in Multi-Fractured Horizontal Wells of the Vaca Muerta Formation

Agustín Terminiello, Matías Nasca, Juan Filipich, Donald Mc Intyre, Pablo Crespo
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3703282-MS
DOI: https://doi.org/10.15530/urtec-2022-3703282
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View Paper titled, From WHP to BHP Using Machine Learning in Multi-Fractured Horizontal Wells of the Vaca Muerta Formation
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Proceedings Papers

Embedding Physical Flow Functions into Deep Learning Predictive Models for Improved Production Forecasting

Syamil Mohd Razak, Jodel Cornelio, Young Cho, Hui-Hai Liu, Ravimadhav Vaidya, Behnam Jafarpour
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3702606-MS
DOI: https://doi.org/10.15530/urtec-2022-3702606
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View Paper titled, Embedding Physical Flow Functions into Deep Learning Predictive Models for Improved Production Forecasting
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Proceedings Papers

Numerical RTA Extended to Complex Fracture Systems: Part 1

Mathias Lia Carlsen, Curtis Hays Whitson
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3718584-MS
DOI: https://doi.org/10.15530/urtec-2022-3718584
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View Paper titled, Numerical RTA Extended to Complex Fracture Systems: Part 1
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Proceedings Papers

Wettability in Niobrara, Codell, Eagle Ford, Bakken, and Wolfcamp Formations: For EOR and CCUS Applications

Ozan Uzun, Hossein Kazemi, Stephen A. Sonnenberg
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3711095-MS
DOI: https://doi.org/10.15530/urtec-2022-3711095
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View Paper titled, Wettability in Niobrara, Codell, Eagle Ford, Bakken, and Wolfcamp Formations: For EOR and CCUS Applications
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Proceedings Papers

Tackling A Critical Challenge in Shale Development in the Delaware Basin: An Interdisciplinary Field Case Study on Subsurface Scale Diagnosis and Control and Impact on Production Performance

Wei Wang, Lauren DeVoe, Wei Wei, Piya Dechongkit, Megan Fung, Katrina S. Ostrowicki, Le’Kendra B. Fusilier, Ramez Hanna Alla, Qinmin Luo, Eddye Gallegos, Aygul Kostinovsky, Mehrnoosh Saneifar, Luisa Crousse, Chao Yan, Gregory Winslow, Hussein Chebli
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3708626-MS
DOI: https://doi.org/10.15530/urtec-2022-3708626
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View Paper titled, Tackling A Critical Challenge in Shale Development in the Delaware Basin: An Interdisciplinary Field Case Study on Subsurface Scale Diagnosis and Control and Impact on Production Performance
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Proceedings Papers

Comparison of Machine Learning and Statistical Predictive Models for Production Time Series Forecasting in Tight Oil Reservoirs

Hamid Rahmanifard, Ian Gates, Abdolmohsen Shabib Asl
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3703284-MS
DOI: https://doi.org/10.15530/urtec-2022-3703284
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View Paper titled, Comparison of Machine Learning and Statistical Predictive Models for Production Time Series Forecasting in Tight Oil Reservoirs
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Proceedings Papers

Optimizing Completions Strategies Using Low-Cost Data Learning

Antoine Jacques, Clement Daguet-Schott, Anthony Billat, Benoit Brouard
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3701794-MS
DOI: https://doi.org/10.15530/urtec-2022-3701794
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Proceedings Papers

Applying Machine Learning Technologies in the Niobrara Formation, DJ Basin, to Quickly Produce an Integrated Structural and Stratigraphic Seismic Classification Volume Calibrated to Wells

Carolan Laudon, Jie Qi, Yin-Kai Wang
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3701806-MS
DOI: https://doi.org/10.15530/urtec-2022-3701806
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View Paper titled, Applying Machine Learning Technologies in the Niobrara Formation, DJ Basin, to Quickly Produce an Integrated Structural and Stratigraphic Seismic Classification Volume Calibrated to Wells
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Proceedings Papers

Numerical Simulation of the Impact of Coal Anisotropy on CO 2 Sequestration in Deep Mannville Coal Seams

Yun Yang, Christopher R. Clarkson, Hamidreza Hamdi, Amin Ghanizadeh, Michael S. Blinderman, Curtis Evans
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3702451-MS
DOI: https://doi.org/10.15530/urtec-2022-3702451
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View Paper titled, Numerical Simulation of the Impact of Coal Anisotropy on CO 2 Sequestration in Deep Mannville Coal Seams
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Proceedings Papers

"Not Measured, Not Improved" Agile 3-Phase Well Flow Measurement and Well Testing Unit

Bali Singh, Bruce Gerrard, David Reasoner, Eric Vosburgh
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3719030-MS
DOI: https://doi.org/10.15530/urtec-2022-3719030
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View Paper titled, "Not Measured, Not Improved" Agile 3-Phase Well Flow Measurement and Well Testing Unit
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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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View Paper titled, Modeling Unconventional Reservoirs Using a Graph Network Model
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Proceedings Papers

Improvement in the Characterization of Vaca Muerta With DFIT Type Curves Analysis

Cristian F. González, Ignacio Arhancet
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3717105-MS
DOI: https://doi.org/10.15530/urtec-2022-3717105
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Proceedings Papers

Water Fingerprinting: Rescuing an Old Methodology to Evaluate Brine Compatibility and Production Allocation

Yani Araujo, Jerry Swearingen
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3709541-MS
DOI: https://doi.org/10.15530/urtec-2022-3709541
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View Paper titled, Water Fingerprinting: Rescuing an Old Methodology to Evaluate Brine Compatibility and Production Allocation
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Proceedings Papers

Understanding the Natural Fracture System in the Ultra-Deep Sandstone Reservoir Using High-Definition Oil-Based Microresistivity Image Logs, Case Study from Junggar Basin

Renzhong Gan, Hao Zhang, Jing Chen, Weidong Huang, Xu Zhang, Bo Liu, Tao Zhang, Wei Wang, Guo Wei, Adaobi Elekwachi, Gamal Sultan
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3702216-MS
DOI: https://doi.org/10.15530/urtec-2022-3702216
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View Paper titled, Understanding the Natural Fracture System in the Ultra-Deep Sandstone Reservoir Using High-Definition Oil-Based Microresistivity Image Logs, Case Study from Junggar Basin
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Proceedings Papers

Looking Fractures Around the Wellbore: First Successful Azimuthal Dipole Sonic Imaging in a Carbonate Horizontal Well in China

Yu Zhang, Haidong Liu, Honglin Xiao, Xiaoming Zhang, Bo Liu, Yanyan Chen, Zheyuan Huang, Cai Liang, Wei Wang, Guo Wei, Gamal Sultan, Elizabeth Ruiz
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3706775-MS
DOI: https://doi.org/10.15530/urtec-2022-3706775
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View Paper titled, Looking Fractures Around the Wellbore: First Successful Azimuthal Dipole Sonic Imaging in a Carbonate Horizontal Well in China
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Proceedings Papers

Analysis of Well Interference Tests in the Bakken Shale, a Fully Communicated System

Carlos Miranda, Craig Cipolla, Mark Murray
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3717749-MS
DOI: https://doi.org/10.15530/urtec-2022-3717749
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View Paper titled, Analysis of Well Interference Tests in the Bakken Shale, a Fully Communicated System
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