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Proceedings Papers

Multimaterial Multiphysics Modelling Coupled with Post-Fracturing Production Flow Simulations: Revamping Hydraulic Fracturing Design Strategy

Abdul Muqtadir Khan, Vadim Isaev, Ludmila Belyakova
Paper presented at the SPE Asia Pacific Oil & Gas Conference and Exhibition, October 17–19, 2022
Paper Number: SPE-210633-MS
https://doi.org/10.2118/210633-MS
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View Paper titled, Multimaterial Multiphysics Modelling Coupled with Post-Fracturing Production Flow Simulations: Revamping Hydraulic Fracturing Design Strategy
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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

An Unsupervised Learning Model for Pipe Stuck Predictions Using a Long Short-Term Memory Autoencoder Architecture

Yujin Nakagawa, Tomoya Inoue, Hakan Bilen, Konda R. Mopuri, Keisuke Miyoshi, Shungo Abe3, Ryota Wada, Kouhei Kuroda, Hitoshi Tamamura
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205677-MS
https://doi.org/10.2118/205677-MS
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View Paper titled, An Unsupervised Learning Model for Pipe Stuck Predictions Using a Long Short-Term Memory Autoencoder Architecture
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Proceedings Papers

How to Land Modern Data Science in Petroleum Engineering

Hongbao Zhang, Yijin Zeng, Lulu Liao, Ruiyao Wang, Xutian Hou, Jiangpeng Feng, Amol Mulunjkar
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205689-MS
https://doi.org/10.2118/205689-MS
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View Paper titled, How to Land Modern Data Science in Petroleum Engineering
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Proceedings Papers

Unravel Carbonate Reservoir Heterogeneities Through 3D Seismic Neural Network Application: A Machine Learning Based Approach and Workflow

Dimmas Ramadhan, Krishna Pratama Laya, Ricko Rizkiaputra, Esterlinda Sinlae, Ari Subekti, Anak Agung Gde Iswara Anindyajati
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205664-MS
https://doi.org/10.2118/205664-MS
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View Paper titled, Unravel Carbonate Reservoir Heterogeneities Through 3D Seismic Neural Network Application: A Machine Learning Based Approach and Workflow
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Proceedings Papers

Integration of Self Organizing Map and Date Driven Methods to Predict Oil Formation Volume Factor: North Africa Crude Oil Examples

Gamal Alusta, Hossein Algdamsi, Ahmed Amtereg, Ammar Agnia, Ahmed Alkouh, Bacem Kcharem
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205782-MS
https://doi.org/10.2118/205782-MS
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View Paper titled, Integration of Self Organizing Map and Date Driven Methods to Predict Oil Formation Volume Factor: North Africa Crude Oil Examples
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Proceedings Papers

A Digital Oilfield Comprehensive Study: Automated Intelligent Production Network Optimization

Aulia Ahmad Naufal, Sabrina Metra
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205735-MS
https://doi.org/10.2118/205735-MS
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View Paper titled, A Digital Oilfield Comprehensive Study: Automated Intelligent Production Network Optimization
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Proceedings Papers

Application of Machine Learning Algorithms for Managing Well Integrity in Gas Lift Wells

Adel Mohamed Salem Ragab, Mostafa Sa’eed Yakoot, Omar Mahmoud
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205736-MS
https://doi.org/10.2118/205736-MS
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View Paper titled, Application of Machine Learning Algorithms for Managing Well Integrity in Gas Lift Wells
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Proceedings Papers

Probabilistic Dynamic Modelling and Prediction Workflows: Application to Multi-Layered Waterflood Reservoir with 90 Years Production History and 293 Wells

Ecko Noviyanto, Deded Abdul Rohman, Theoza Nopranda, Rudini Simanjorang, Kosdar Gideon Haro, M. Isa Priyo Utomo, Arif Bagus Prasetyo, Andi Pratama
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205774-MS
https://doi.org/10.2118/205774-MS
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View Paper titled, Probabilistic Dynamic Modelling and Prediction Workflows: Application to Multi-Layered Waterflood Reservoir with 90 Years Production History and 293 Wells
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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

Understanding the Facies Architecture of a Fluvial-Aeolian of Tensleep Formation Using a Machine Learning Approach

Lilik Tri Hardanto
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205733-MS
https://doi.org/10.2118/205733-MS
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View Paper titled, Understanding the Facies Architecture of a Fluvial-Aeolian of Tensleep Formation Using a Machine Learning Approach
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Proceedings Papers

Algorithm-Assisted Platform Location Optmisation Using Mixed-Integer Programming for Cluster Development Strategy in the Gulf of Thailand

Peerapong Ekkawong, Parichat Loboonlert, Krongpol Seusutthiya, Kongphop Wongpattananukul, Nuntanut Laoniyomthai, Jiraphas Thapchim, Rutchanok Nasomsong, Tepporn Satsue, Thanawat Charucharana, Kasidis Lhosupasirirat
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205765-MS
https://doi.org/10.2118/205765-MS
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View Paper titled, Algorithm-Assisted Platform Location Optmisation Using Mixed-Integer Programming for Cluster Development Strategy in the Gulf of Thailand
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Proceedings Papers

Artificial Intelligence Method of Flow Unit Division Based on Waveform Clustering: A Case Study on Zhetybay Oil Field, South Mangyshalk Basin, Kazakhstan

Libing Fu, Jun Ni, Yuming Liu, Xuanran Li, Anzhu Xu
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205740-MS
https://doi.org/10.2118/205740-MS
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View Paper titled, Artificial Intelligence Method of Flow Unit Division Based on Waveform Clustering: A Case Study on Zhetybay Oil Field, South Mangyshalk Basin, Kazakhstan
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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

Digital Solutions Suite: Big Data, Artificial Intelligence, and Digital Barrel

Roberto Carlos Fuenmayor
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205547-MS
https://doi.org/10.2118/205547-MS
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View Paper titled, Digital Solutions Suite: Big Data, Artificial Intelligence, and Digital Barrel
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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

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

Machine Learning Strategies for Accurate Log Prediction in Reservoir Characterization: Self-Calibrating Versus Domain-Knowledge

Ahmed Reda Ali, Makky Sandra Jaya, Ernest A. Jones
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205602-MS
https://doi.org/10.2118/205602-MS
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View Paper titled, Machine Learning Strategies for Accurate Log Prediction in Reservoir Characterization: Self-Calibrating Versus Domain-Knowledge
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Proceedings Papers

Optimal Design and Scheduling of Offshore Oil and Gas Field Development with Environmental Impact Consideration

Novita Dwi Putri Nugraheni, Jie Li
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205645-MS
https://doi.org/10.2118/205645-MS
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View Paper titled, Optimal Design and Scheduling of Offshore Oil and Gas Field Development with Environmental Impact Consideration
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Proceedings Papers

The Art of Deploying Data Mining and Machine Learning in Developing and Managing Deepwater Turbidite Gas Assets

Edo Pratama
Paper presented at the SPE/IATMI Asia Pacific Oil & Gas Conference and Exhibition, October 12–14, 2021
Paper Number: SPE-205652-MS
https://doi.org/10.2118/205652-MS
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View Paper titled, The Art of Deploying Data Mining and Machine Learning in Developing and Managing Deepwater Turbidite Gas Assets
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