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Proceedings Papers

Resolving Multiphase Fractions in Horizontal Wells Using Speed of Sound Measured with Distributed Acoustic Sensors and a PVT Database

Peyman Moradi, Brian Seabrook, Neal Adair, Ricardo Garza
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4017241-MS
https://doi.org/10.15530/urtec-2024-4017241
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View Paper titled, Resolving Multiphase Fractions in Horizontal Wells Using Speed of Sound Measured with Distributed Acoustic Sensors and a PVT Database
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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

Reservoir Depletion Assessment While Drilling with Advanced Mud Gas Logging

Yishu Song, Brad McBrayer, Russ Bone, Kristie McLin
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4026709-MS
https://doi.org/10.15530/urtec-2024-4026709
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View Paper titled, Reservoir Depletion Assessment While Drilling with Advanced Mud Gas Logging
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Proceedings Papers

Ascertain the Presence of Open Fractures in Tight Carbonate Reservoirs with Integrated Solution

Kim Long Nguyen, Mahmoud F. Shehab El Dein, Nami Al-Mutairi, Rasha Al-Morakhi, Mohammed Dasma, Lulwa Al-Mijrin, Meshal Abdul Hameed Al-Wadi, Karim Ousididene, Ahmed Moustafa, Mohab El-Masry, Sachindra Sharma, Nawal Kerrouche, Ramdane Bouchou, Mohamed Said
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4023323-MS
https://doi.org/10.15530/urtec-2024-4023323
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View Paper titled, Ascertain the Presence of Open Fractures in Tight Carbonate Reservoirs with Integrated Solution
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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

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

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

Eagle Ford: The Journey from Well Performance to Artificial Lift Optimization

Jesus Contreras, Zach Awny
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4029098-MS
https://doi.org/10.15530/urtec-2024-4029098
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View Paper titled, Eagle Ford: The Journey from Well Performance to Artificial Lift Optimization
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Proceedings Papers

Physics Informed Deep Learning Models for Improving Shale and Tight Forecast Scalability and Reliability

Kainan Wang, Lichi Deng, Yuzhe Cai, Guido Di Federico, Keith Ramsaran, Mun Hong Hui, Hussein Alboudwarej, Christian Hager, Yuguang Chen, Xian-Huan Wen
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4042557-MS
https://doi.org/10.15530/urtec-2024-4042557
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View Paper titled, Physics Informed Deep Learning Models for Improving Shale and Tight Forecast Scalability and Reliability
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Proceedings Papers

Effective Fracture Geometry Analysis Based on Data of Well Production, Pressure Gauge, and Strain Change of HFTS-1-III in Eagle Ford Shale

Fatima Almarzoog, Kan Wu, Ge Jin
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4034948-MS
https://doi.org/10.15530/urtec-2024-4034948
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View Paper titled, Effective Fracture Geometry Analysis Based on Data of Well Production, Pressure Gauge, and Strain Change of HFTS-1-III in Eagle Ford Shale
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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

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

Case Studies: Integrated Production Profiling Analyses from Distributed Temperature and Acoustic Data

Yilin Mao, Caroline Godefroy, Alain Gysen
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4027567-MS
https://doi.org/10.15530/urtec-2024-4027567
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View Paper titled, Case Studies: Integrated Production Profiling Analyses from Distributed Temperature and Acoustic Data
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Proceedings Papers

Forward Modeling of Utah FORGE 2024 Hydraulic Stimulation: Fiber Signatures & Seismicity

Ruwantha Ratnayake, Ahmad Ghassemi
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4042749-MS
https://doi.org/10.15530/urtec-2024-4042749
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View Paper titled, Forward Modeling of Utah FORGE 2024 Hydraulic Stimulation: Fiber Signatures & Seismicity
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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

A Physics-Based Approach to Characterize Productivity Loss in the Haynesville Shale

Chad Jongeling, Jerrod Ryan, Christopher Ponners, Dominick Wytovich, Joe Miller, Josh Jackson, Mark McClure, Garrett Fowler
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4033310-MS
https://doi.org/10.15530/urtec-2024-4033310
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View Paper titled, A Physics-Based Approach to Characterize Productivity Loss in the Haynesville Shale
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Proceedings Papers

Quantifying Well Communication Using Flowback and Early-Time Production Data

A-L. L. Benson, H. Hamdi, C. R. Clarkson
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043791-MS
https://doi.org/10.15530/urtec-2024-4043791
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View Paper titled, Quantifying Well Communication Using Flowback and Early-Time Production Data
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Proceedings Papers

Characterizing the Vertical Heterogeneity and Optimizing the Horizontal Well Landing Window in Shale Oil Reservoirs: Case Studies in Jiyang Depression

Wei Xu, Donggen Yang, DaiGuo Yu, Zhongbin Xin, Daohan Zhao, He Wang, Xiao Gu, Xianran Zhao, Jinlong Wu, Fangfang Wu, Issa Haddad
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4043711-MS
https://doi.org/10.15530/urtec-2024-4043711
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View Paper titled, Characterizing the Vertical Heterogeneity and Optimizing the Horizontal Well Landing Window in Shale Oil Reservoirs: Case Studies in Jiyang Depression
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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

A Novel Workflow to Characterize Production Profiles of Shale Gas Horizontal Wells Using Distributed Temperature Sensing Data

Chuxi Liu, Xuefeng Yang, Cheng Chang, Sha Liu, Ning Li, Wei Yu, Kamy Sepehrnoori
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, June 17–19, 2024
Paper Number: URTEC-4044221-MS
https://doi.org/10.15530/urtec-2024-4044221
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View Paper titled, A Novel Workflow to Characterize Production Profiles of Shale Gas Horizontal Wells Using Distributed Temperature Sensing Data
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