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Proceedings Papers

Early EUR Indicator for Permian Basin Unconventional Resources Based on Hourly Flowback Data

Xueying Xie, Shunhua Liu, Courtney Leiker
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3854193-MS
https://doi.org/10.15530/urtec-2023-3854193
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View Paper titled, Early EUR Indicator for Permian Basin Unconventional Resources Based on Hourly Flowback Data
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Proceedings Papers

Application of Fractional Dimension RTA to Gas Wells in Haynesville Including Parent-Child Effects

Jorge A. Acuña
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3852016-MS
https://doi.org/10.15530/urtec-2023-3852016
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View Paper titled, Application of Fractional Dimension RTA to Gas Wells in Haynesville Including Parent-Child Effects
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Proceedings Papers

A New Approach to Apply Decline-Curve Analysis for Tight-Oil Reservoirs Producing Under Variable Pressure Conditions

Leopoldo M. Ruiz Maraggi, Mark P. Walsh, Larry W. Lake
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3848106-MS
https://doi.org/10.15530/urtec-2023-3848106
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View Paper titled, A New Approach to Apply Decline-Curve Analysis for Tight-Oil Reservoirs Producing Under Variable Pressure Conditions
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Proceedings Papers

Introducing a New Workflow to Improve Water Production Forecasts for Unconventional Reservoirs

Mei Han, Xueying Xie, Shunhua Liu, Jiasen Tan
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3848189-MS
https://doi.org/10.15530/urtec-2023-3848189
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View Paper titled, Introducing a New Workflow to Improve Water Production Forecasts for Unconventional Reservoirs
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Proceedings Papers

Bayesian Variable Pressure Decline-Curve Analysis for Shale Gas Wells

Leopoldo M. Ruiz Maraggi, Mark P. Walsh, Larry W. Lake, Frank R. Male
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3856826-MS
https://doi.org/10.15530/urtec-2023-3856826
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View Paper titled, Bayesian Variable Pressure Decline-Curve Analysis for Shale Gas Wells
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Proceedings Papers

Physics Informed Data-Driven Models for Discovery of Flow Physics and Forecasts in Unconventional Reservoirs

Hardikkumar Zalavadia, Utkarsh Sinha, Prithvi Singh, Zhenyu Guo, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3858897-MS
https://doi.org/10.15530/urtec-2023-3858897
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View Paper titled, Physics Informed Data-Driven Models for Discovery of Flow Physics and Forecasts in Unconventional Reservoirs
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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

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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Proceedings Papers

NPV Max Development Optimization Utilizing Multidisciplinary Approach, a Case Study from the Permian Basin, USA

Iris Haihong Wang, James Courtier, Claudia Garces
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3871142-MS
https://doi.org/10.15530/urtec-2023-3871142
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View Paper titled, NPV Max Development Optimization Utilizing Multidisciplinary Approach, a Case Study from the Permian Basin, USA
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Proceedings Papers

Design of Chemical EOR in Unconventional Reservoirs

Johannes O. Alvarez, Mohsen Tagavifar, Shashvat Doorwar, D. T. Vo, Varadarajan Dwarakanath, Taimur Malik, Dengen Zhou, Jesse Strickler, Lee (Rusty) Mathis, Scott Neal
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3870505-MS
https://doi.org/10.15530/urtec-2023-3870505
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Proceedings Papers

How Much Data Is Needed to Create Accurate PDP Forecasts?

Austin Lim, Alexander Cui, Ted Cross
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3870872-MS
https://doi.org/10.15530/urtec-2023-3870872
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Proceedings Papers

Integrated Well Performance Analysis Methodology to Understand Production Performance and Identify Refracturing Candidates in Barnett Shale

Eric Bryan, Rex Richard, Connor Holasek, Nima Hosseinpour-Zonoozi, Dilhan Ilk, Charles Melvin, Kevin Eichinger, Brian Rankosky, Brian Ingalls, Sam French, Ken Day
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3869654-MS
https://doi.org/10.15530/urtec-2023-3869654
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View Paper titled, Integrated Well Performance Analysis Methodology to Understand Production Performance and Identify Refracturing Candidates in Barnett Shale
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Proceedings Papers

The Application of the Lognormal Cumulative Distribution Function (LCDF) for Time-Rate Interpretation and Forecasting of Wells in Uncon-Ventional Reservoirs

David Waters, Eric Bryan, Dave Symmons, Dilhan Ilk, Thomas A. Blasingame
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 13–15, 2023
Paper Number: URTEC-3870942-MS
https://doi.org/10.15530/urtec-2023-3870942
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View Paper titled, The Application of the Lognormal Cumulative Distribution Function (LCDF) for Time-Rate Interpretation and Forecasting of Wells in Uncon-Ventional Reservoirs
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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
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

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
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

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
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

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
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

Scaling Improves Type Well Construction

W. John Lee, Himanshu Shekhar Jha
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3718983-MS
https://doi.org/10.15530/urtec-2022-3718983
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Proceedings Papers

Closing the Gap in Quantifying the Extension of Depletion: A Practical Workflow to Convert Analytical Fracture Half-Length to Actual Non-Uniform SRV

Vivek Muralidharan, Soodabeh Esmaili
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3719890-MS
https://doi.org/10.15530/urtec-2022-3719890
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View Paper titled, Closing the Gap in Quantifying the Extension of Depletion: A Practical Workflow to Convert Analytical Fracture Half-Length to Actual Non-Uniform SRV
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Proceedings Papers

Sequence-to-Sequence (Seq2Seq) Long Short-Term Memory (LSTM) for Oil Production Forecast of Shale Reservoirs

Cristhian Aranguren, Alfonso Fragoso, Roberto Aguilera
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 20–22, 2022
Paper Number: URTEC-3722179-MS
https://doi.org/10.15530/urtec-2022-3722179
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View Paper titled, Sequence-to-Sequence (Seq2Seq) Long Short-Term Memory (LSTM) for Oil Production Forecast of Shale Reservoirs
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