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Proceedings Papers

Accelerated Inversion Workflow Coupling Deep Learning and ES-MDA for DTS Data: A Case Study of Horizontal Well in Middle East Carbonate Reservoir

Rui Deng, Liang Zhang, Lian Wang, Xing Zhao, Bo Kang, Hehua Wang, Bing Xu, Liping Jiang, Qi Deng
Paper presented at the APOGCE 2024, October 15–17, 2024
Paper Number: SPE-221236-MS
https://doi.org/10.2118/221236-MS
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View Paper titled, Accelerated Inversion Workflow Coupling Deep Learning and ES-MDA for DTS Data: A Case Study of Horizontal Well in Middle East Carbonate Reservoir
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Proceedings Papers

Intelligent Approach for Estimating CO 2 -Brine Relative Permeability in Carbon Capture and Storage Process Based on Deep Learning: A Case Study of Aquifer Under the South China Sea

Lian Wang, Liang Zhang, Rui Deng, Hehua Wang, Xing Zhao, Bo Kang, Bing Xu, Liping Jiang, Qi Deng
Paper presented at the APOGCE 2024, October 15–17, 2024
Paper Number: SPE-221332-MS
https://doi.org/10.2118/221332-MS
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View Paper titled, Intelligent Approach for Estimating CO 2 -Brine Relative Permeability in Carbon Capture and Storage Process Based on Deep Learning: A Case Study of Aquifer Under the South China Sea
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Proceedings Papers

A Surrogate Model for Numerical Reservoir Simulation of CO 2 Flooding and Storage Based on Deep Learning

Peng Dong, Xinwei Liao, Lingfeng Zhang, Heng Zhang, Xurong Zhao, Qishan Xue
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215253-MS
https://doi.org/10.2118/215253-MS
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View Paper titled, A Surrogate Model for Numerical Reservoir Simulation of CO 2 Flooding and Storage Based on Deep Learning
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Proceedings Papers

Rapid Simulation and Optimization of Geological CO 2 Sequestration Using Coarse Grid Network Model

Billal Aslam, Bicheng Yan, Zeeshan Tariq, Stein Krogstad, Knut-Andreas Lie
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215306-MS
https://doi.org/10.2118/215306-MS
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View Paper titled, Rapid Simulation and Optimization of Geological CO 2 Sequestration Using Coarse Grid Network Model
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Proceedings Papers

AI-Optimization of Lithium Recovery from Reservoir Operations - An Adapted Volve Field Study

Klemens Katterbauer, Abdallah Al Shehri, Abdulaziz Al Qasim, Ali Yousef
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215415-MS
https://doi.org/10.2118/215415-MS
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View Paper titled, AI-Optimization of Lithium Recovery from Reservoir Operations - An Adapted Volve Field Study
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Proceedings Papers

Gas/Water Transient Rate Analysis and Parameters Evaluation by Integrating Pseudopressure-Based Approach with Deep-Learning Method

Junlei Wang
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215341-MS
https://doi.org/10.2118/215341-MS
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View Paper titled, Gas/Water Transient Rate Analysis and Parameters Evaluation by Integrating Pseudopressure-Based Approach with Deep-Learning Method
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Proceedings Papers

Improving Drilling Efficiency Using Intelligent Decision System for Drilling in Bohai Oilfield Based on Big Data

Tao Xie, Xinxin Hou, Hongbo Huo, Hai Lin, Ruibing He, Dongsheng Xu, Lei Zhang, Hailong Liu, Wenlong Li, Xun Liu
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 10–12, 2023
Paper Number: SPE-215427-MS
https://doi.org/10.2118/215427-MS
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View Paper titled, Improving Drilling Efficiency Using Intelligent Decision System for Drilling in Bohai Oilfield Based on Big Data
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Proceedings Papers

Novel Feature Augmentation and Input Reshaping Strategy for Accurate Seismic-Based Elastic Property Prediction Using Deep Learning

May Law, Makky Sandra Jaya, Ernest Austin Jones
Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, October 17–19, 2022
Paper Number: SPE-210654-MS
https://doi.org/10.2118/210654-MS
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View Paper titled, Novel Feature Augmentation and Input Reshaping Strategy for Accurate Seismic-Based Elastic Property Prediction Using Deep Learning
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Proceedings Papers

A Deep Learning Model to Intelligently Identify the Working Status of Screw Pumps for Oil Well Lifting

Zhen Wang, Yeliang Dong, Xin Zheng, Xiang Wang, Peng Gao, Ligang Zhang, Yuchuan Huang, Wencun Sun, Panpan Zhang
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205687-MS
https://doi.org/10.2118/205687-MS
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View Paper titled, A Deep Learning Model to Intelligently Identify the Working Status of Screw Pumps for Oil Well Lifting
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Proceedings Papers

A Proxy Flow Modelling Workflow to Estimate Gridded Dynamic Properties and Well Production Rates by Deep Learning Algorithms

Soumi Chaki, Yevgeniy Zagayevskiy, Terry Wong
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205556-MS
https://doi.org/10.2118/205556-MS
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View Paper titled, A Proxy Flow Modelling Workflow to Estimate Gridded Dynamic Properties and Well Production Rates by Deep Learning Algorithms
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Proceedings Papers

Predicting Dysfunction Vibration Events while Drilling Using LSTM Recurrent Neural Networks

Narendra Vishnumolakala, Dean Michael Murphy, Thu Nguyen, Enrique Zarate Losoya, Vivekvardhan Reddy Kesireddy, Eduardo Gildin
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205571-MS
https://doi.org/10.2118/205571-MS
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View Paper titled, Predicting Dysfunction Vibration Events while Drilling Using LSTM Recurrent Neural Networks
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Proceedings Papers

Predicting Seismic-Based Anisotropy for Prevent Pre-Drill Risk Using a Novel Type Neural Network

Yan Ding, Meng Cui, Hai ge Wang, Zhao Fei, Xiao yan Shi, Kai Huang
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205710-MS
https://doi.org/10.2118/205710-MS
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View Paper titled, Predicting Seismic-Based Anisotropy for Prevent Pre-Drill Risk Using a Novel Type Neural Network
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Proceedings Papers

Formation Grain Size Profile Prediction Model Considering the Longitudinal Continuity of Reservoir Using Artificial Intelligence Tools

Shanshan Liu, Zhiming Wang
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205683-MS
https://doi.org/10.2118/205683-MS
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View Paper titled, Formation Grain Size Profile Prediction Model Considering the Longitudinal Continuity of Reservoir Using Artificial Intelligence Tools
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Proceedings Papers

Optimisation of Well and Layer Selection for Re-fracturing

Qi Zhu
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205745-MS
https://doi.org/10.2118/205745-MS
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View Paper titled, Optimisation of Well and Layer Selection for Re-fracturing
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Proceedings Papers

A Thorough Review of Machine Learning Applications in Oil and Gas Industry

Cenk Temizel, Celal Hakan Canbaz, Yildiray Palabiyik, Hakki Aydin, Minh Tran, Mustafa Hakan Ozyurtkan, Mesut Yurukcu, Paul Johnson
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205720-MS
https://doi.org/10.2118/205720-MS
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View Paper titled, A Thorough Review of Machine Learning Applications in Oil and Gas Industry
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Proceedings Papers

A Comprehensive Review of the Fourth Industrial Revolution IR 4.0 in Oil and Gas Industry

Cenk Temizel, Celal Hakan Canbaz, Hakki Aydin, Bahar F. Hosgor, Deniz Yagmur Kayhan, Raul Moreno
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205772-MS
https://doi.org/10.2118/205772-MS
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View Paper titled, A Comprehensive Review of the Fourth Industrial Revolution IR 4.0 in Oil and Gas Industry
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Proceedings Papers

Is Artificial Intelligent the Future for AHM? Decision Making Between an Automated Optimisation of ANN Proxy Versus Full Numerical Simulation Optimisation Technique

Lingies Santhirasekaran, Derric Ong, Farren Kaylyn Foo, Bonavian Hasiholan
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205808-MS
https://doi.org/10.2118/205808-MS
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View Paper titled, Is Artificial Intelligent the Future for AHM? Decision Making Between an Automated Optimisation of ANN Proxy Versus Full Numerical Simulation Optimisation Technique
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Proceedings Papers

Bi-Directional Long Short-Term Memory Variational Autoencoder for Real-Time Bit-Wear Estimation

Trieu Phat Luu, John A.R. Bomidi, Arturo Magana-Mora, Alawi Alalsayednassir, Guodong David Zhan
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205627-MS
https://doi.org/10.2118/205627-MS
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View Paper titled, Bi-Directional Long Short-Term Memory Variational Autoencoder for Real-Time Bit-Wear Estimation
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Proceedings Papers

Application of Machine Learning for Fatigue Prediction of Flexible Risers - Digital Twin Approach

Nitin Repalle, Ricky Thethi, Pedro Viana, Elizabeth Tellier
Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, November 17–19, 2020
Paper Number: SPE-202461-MS
https://doi.org/10.2118/202461-MS
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View Paper titled, Application of Machine Learning for Fatigue Prediction of Flexible Risers - Digital Twin Approach
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Proceedings Papers

New Vision into Relative Permeability Estimation Using Artificial Neural Networks

Shams Kalam, Mohammad Khan, Mohamed Mahmoud, Rizwan Ahmed Khan, Sidqi A. Abu-Khamsin
Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, November 17–19, 2020
Paper Number: SPE-202443-MS
https://doi.org/10.2118/202443-MS
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View Paper titled, New Vision into Relative Permeability Estimation Using Artificial Neural Networks
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