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Proceedings Papers

Improving Accuracy of an Auto-Forecasting Engine Using a Bayesian Maximum Likelihood Framework for Empirical Decline Curves

Doug McMaster, David S. Fulford, Stephen Krughoff, Zidong Liu, Brennan Medina
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044312-MS
https://doi.org/10.15530/urtec-2024-4044312
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View Paper titled, Improving Accuracy of an Auto-Forecasting Engine Using a Bayesian Maximum Likelihood Framework for Empirical Decline Curves
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Proceedings Papers

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

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

Evaluation of Empirical Correlations and Time Series Models for the Prediction and Forecast of Unconventional Wells Production in Wolfcamp A Formation

Aimen Laalam, Houdaifa Khalifa, Habib Ouadi, Mouna Keltoum Benabid, Olusegun Stanley Tomomewo, Mouad Al Krmagi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043738-MS
https://doi.org/10.15530/urtec-2024-4043738
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View Paper titled, Evaluation of Empirical Correlations and Time Series Models for the Prediction and Forecast of Unconventional Wells Production in Wolfcamp A Formation
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Proceedings Papers

Optimizing Unconventional Well Performance: Streamlining Type Curve Benchmark Analysis for Enhanced Production Insights

Graham Kirk
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044736-MS
https://doi.org/10.15530/urtec-2024-4044736
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View Paper titled, Optimizing Unconventional Well Performance: Streamlining Type Curve Benchmark Analysis for Enhanced Production Insights
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Proceedings Papers

Enhancing Production Forecasting Accuracy: A Machine Learning Approach in the Permian Basin

Kiran Sathaye, Scott Iceton, Ted Cross
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044746-MS
https://doi.org/10.15530/urtec-2024-4044746
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View Paper titled, Enhancing Production Forecasting Accuracy: A Machine Learning Approach in the Permian Basin
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Proceedings Papers

Statistical Analysis of Estimated Ultimate Recovery: Comparing Machine Learning and Traditional DCA Methods in Eagle Ford and Bakken

Palash Panja, Carlos Vega-Ortiz, Milind Deo, Brian McPherson, Rasoul Sorkhabi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4049496-MS
https://doi.org/10.15530/urtec-2024-4049496
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View Paper titled, Statistical Analysis of Estimated Ultimate Recovery: Comparing Machine Learning and Traditional DCA Methods in Eagle Ford and Bakken
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Proceedings Papers

Construction of Parametric Type Well Profiles Using Linear Models

David S. Fulford
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044927-MS
https://doi.org/10.15530/urtec-2024-4044927
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View Paper titled, Construction of Parametric Type Well Profiles Using Linear Models
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Proceedings Papers

Estimated Ultimate Recovery in Horizontal Wells: A Data-Driven Approach

Ahmed Alzahabi, Ahmed Kamel, Alex Trindade
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4048995-MS
https://doi.org/10.15530/urtec-2024-4048995
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View Paper titled, Estimated Ultimate Recovery in Horizontal Wells: A Data-Driven Approach
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Proceedings Papers

A Novel Fracture Conductivity Calculation Methodology for Integrating Fracture Simulation and Rate Transient Analysis (RTA) for Unconventional Development

Han (Jake) Li, Paul Nguyen, Sherif M. Kholy, Soodabeh Esmaili, Shunhua Liu
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044817-MS
https://doi.org/10.15530/urtec-2024-4044817
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View Paper titled, A Novel Fracture Conductivity Calculation Methodology for Integrating Fracture Simulation and Rate Transient Analysis (RTA) for Unconventional Development
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Proceedings Papers

Effects of Early-Time Production Data on Machine-Learning-Assisted Long-Term Production Forecasting

Mohammad H. Elkady, Siddharth Misra, Veena T. Kumar, Uchenna Odi, Andrew Silver
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4055265-MS
https://doi.org/10.15530/urtec-2024-4055265
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View Paper titled, Effects of Early-Time Production Data on Machine-Learning-Assisted Long-Term Production Forecasting
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Proceedings Papers

Forecasting Production Loss for Delayed Secondary Bench Development in the Midland Basin

A. Cui, D. Niederhut, B. Davis
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4037004-MS
https://doi.org/10.15530/urtec-2024-4037004
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View Paper titled, Forecasting Production Loss for Delayed Secondary Bench Development in the Midland Basin
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Proceedings Papers

Assessing B-Factor Through Production Analysis and Simulation Modeling in Permian Unconventional Wells

Mei Han, Paul Nguyen, Markus Emsermann, Cyd Ruidiaz-Santiago, Xueying Xie, Soodabeh Esmaili, Osama Raba
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4029346-MS
https://doi.org/10.15530/urtec-2024-4029346
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View Paper titled, Assessing B-Factor Through Production Analysis and Simulation Modeling in Permian Unconventional Wells
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Proceedings Papers

Fast Optimization of the Net Present Value of Unconventional Wells Using Rapid RTA

Leopoldo Matias Ruiz Maraggi, Mark P. Walsh, Larry W. Lake, Frank R. Male
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043501-MS
https://doi.org/10.15530/urtec-2024-4043501
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View Paper titled, Fast Optimization of the Net Present Value of Unconventional Wells Using Rapid RTA
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Proceedings Papers

Application of a Sparse Hybrid Data-Driven and Physics Model in Unconventional Reservoirs for Production Forecasting

Hardikkumar Zalavadia, Sathish Sankaran
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4033921-MS
https://doi.org/10.15530/urtec-2024-4033921
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View Paper titled, Application of a Sparse Hybrid Data-Driven and Physics Model in Unconventional Reservoirs for Production Forecasting
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Proceedings Papers

Use of the RTAPK Core Analysis Method to Evaluate the Impact of Matrix Heterogeneity on Flow-Regime Signatures and Permeability Estimation

Niloufar Rahimof, Mohammadebrahim Shabani, Amin Ghanizadeh, Chengyao Song, Christopher R. Clarkson
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4024058-MS
https://doi.org/10.15530/urtec-2024-4024058
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View Paper titled, Use of the RTAPK Core Analysis Method to Evaluate the Impact of Matrix Heterogeneity on Flow-Regime Signatures and Permeability Estimation
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Proceedings Papers

A Comparative Study for Probabilistic EUR Forecasting in Shale Gas Reservoir Using Early-Time Production Data

Xiaowen Duan, Xiaolin Xu, Yuewei Pan, Junlei Wang, Ling Fu
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043379-MS
https://doi.org/10.15530/urtec-2024-4043379
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View Paper titled, A Comparative Study for Probabilistic EUR Forecasting in Shale Gas Reservoir Using Early-Time Production Data
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Proceedings Papers

Machine Learning vs. Type Curves in the Appalachian Basin: A Comparative Study

A. Cui, A. Yanke, T. Dao, P. Ye, T. Cross, B. Davis
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4036239-MS
https://doi.org/10.15530/urtec-2024-4036239
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View Paper titled, Machine Learning vs. Type Curves in the Appalachian Basin: A Comparative Study
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Proceedings Papers

Transforming Early-Stage Oil and Gas Production Forecasting with Generative AI

Akash Sharma, Scott Pellegrino, Sai Sidharth Manikandan
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043583-MS
https://doi.org/10.15530/urtec-2024-4043583
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View Paper titled, Transforming Early-Stage Oil and Gas Production Forecasting with Generative AI
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Proceedings Papers

Towards Universal Production Forecasting via Adversarial Transfer Learning and Transformer with Application in the Shengli Oilfield, China

Ji Chang, Jin Meng, Dongwei Zhang, Tianrui Ye, Han Wang, Yitian Xiao
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4032318-MS
https://doi.org/10.15530/urtec-2024-4032318
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View Paper titled, Towards Universal Production Forecasting via Adversarial Transfer Learning and Transformer with Application in the Shengli Oilfield, China
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Proceedings Papers

Enhanced Decision Making and Asset Optimization for Unconventional Resources with Type Wells (DCA), RTA-Based Numerical Modeling and Machine Learning

Alireza Haghighat, Toby Burrough
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044552-MS
https://doi.org/10.15530/urtec-2024-4044552
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View Paper titled, Enhanced Decision Making and Asset Optimization for Unconventional Resources with Type Wells (DCA), RTA-Based Numerical Modeling and Machine Learning
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