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Proceedings Papers

Digital Dexterity: Building Capabilities in the Era of AI

Hadla S. AlFedaghi
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222277-MS
https://doi.org/10.2118/222277-MS
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Proceedings Papers

Supply Chain Management with AI

Khaled Al Hamadi, Somasundaram Ekambaram
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222930-MS
https://doi.org/10.2118/222930-MS
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Proceedings Papers

Applying Machine Learning Methods to Identify Reservoir Features That Highly Affect Water Encroachment Based on Transforming Unsupervised to Supervised Model

Rodriguez Carlos, Al Naser Ethar, Alqahtani Mari, almansour Osamah
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222702-MS
https://doi.org/10.2118/222702-MS
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View Paper titled, Applying Machine Learning Methods to Identify Reservoir Features That Highly Affect Water Encroachment Based on Transforming Unsupervised to Supervised Model
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Proceedings Papers

Ai-Powered FEED Projects: Unlocking the Potential of Smart Integration with 3D Modelling

Ashraf Douban
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222719-MS
https://doi.org/10.2118/222719-MS
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View Paper titled, Ai-Powered FEED Projects: Unlocking the Potential of Smart Integration with 3D Modelling
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Proceedings Papers

Surgical Mapping of Subtle Carbonate Trap Plays at a Jurassic Intrashelf Basin Margin Using Seismic Chronostratigraphy and Semi-Automatic Techniques

S. R. Wharton
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222722-MS
https://doi.org/10.2118/222722-MS
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View Paper titled, Surgical Mapping of Subtle Carbonate Trap Plays at a Jurassic Intrashelf Basin Margin Using Seismic Chronostratigraphy and Semi-Automatic Techniques
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Proceedings Papers

Downtime Avoidance and Inspection Optimization Towards AI Implementation (Online Robotic Inspection)

H. Oktawira, K. Alkhoujah, H. R. Hussain, M. Alharbi
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222765-MS
https://doi.org/10.2118/222765-MS
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View Paper titled, Downtime Avoidance and Inspection Optimization Towards AI Implementation (Online Robotic Inspection)
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Proceedings Papers

Solving the Talent Challenge for Artificial Intelligence

S. Shekhar, N. Choudhary, R. Saraiya, J. Neff, B. Zolnikov, D. Almeida Costa, S. Zulfiqar, C. Chrysovulou, P. Manceron
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222820-MS
https://doi.org/10.2118/222820-MS
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View Paper titled, Solving the Talent Challenge for Artificial Intelligence
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Proceedings Papers

Impact of Industry 4.0 Technologies in Enhancing Sustainability of Maritime Logistics

U. Kumar, V. Dixit, K. Jha
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222422-MS
https://doi.org/10.2118/222422-MS
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Proceedings Papers

Digital Twins Revolutionizing Oil and Gas Industry Optimizing Drilling Operations with Physics Informed AI

R. A. Gandikota, N. Chennoufi, T. Hadad
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222587-MS
https://doi.org/10.2118/222587-MS
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Proceedings Papers

Enhancing Operational Efficiency and Sustainability Through Al-Driven Fleet Management in the Caspian Sea, Cheleken Area

R. Espinoza, A. Butyrin, K. Vedat, J. Thatcher, M. Eldred
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222659-MS
https://doi.org/10.2118/222659-MS
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View Paper titled, Enhancing Operational Efficiency and Sustainability Through Al-Driven Fleet Management in the Caspian Sea, Cheleken Area
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Proceedings Papers

Operational Insights with Predictive Gamma Analysis to Enhance Drilling Performance

J. R. Davis, I. Kolesnik, B. Blackwell
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-222673-MS
https://doi.org/10.2118/222673-MS
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View Paper titled, Operational Insights with Predictive Gamma Analysis to Enhance Drilling Performance
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Proceedings Papers

Enhancing Drilling Equipment Reliability: Deep Learning for Predicting Failure Time and Real-Time Anomaly Detection

Sarafudheen M. Tharayil, Marah M. Alrammah, Maria A. Alghamdi, Fatimah E. Aljohar, William B. Contreras Otalvora
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221928-MS
https://doi.org/10.2118/221928-MS
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View Paper titled, Enhancing Drilling Equipment Reliability: Deep Learning for Predicting Failure Time and Real-Time Anomaly Detection
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Proceedings Papers

A Design-Driven Approach to Emissions Quantification through Digital and Domain Integration

Abdul Muqtadir Khan, Samir Menasria, Timothy Drews, Denis Bannikov, Dinesh Sukumar, Melissa Teoh
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221941-MS
https://doi.org/10.2118/221941-MS
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View Paper titled, A Design-Driven Approach to Emissions Quantification through Digital and Domain Integration
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Proceedings Papers

Reducing False Alarms for Early Kick and Loss Detection (EKLD) in Real-Time Application Using Knowledge-Assisted Case-Based Reasoning

Shang Zhang, Robello Samuel
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221944-MS
https://doi.org/10.2118/221944-MS
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View Paper titled, Reducing False Alarms for Early Kick and Loss Detection (EKLD) in Real-Time Application Using Knowledge-Assisted Case-Based Reasoning
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Proceedings Papers

A Machine Learning Model for Real-Time Early Kick and Loss Prediction EKLP Application

Shang Zhang, Robello Samuel
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221948-MS
https://doi.org/10.2118/221948-MS
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View Paper titled, A Machine Learning Model for Real-Time Early Kick and Loss Prediction EKLP Application
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Proceedings Papers

Enhancing Engineering Document Analysis Through Structured Data Mapping

G. Rascanu, R. Dzhusupova, Z. Guo
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221950-MS
https://doi.org/10.2118/221950-MS
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View Paper titled, Enhancing Engineering Document Analysis Through Structured Data Mapping
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Proceedings Papers

Enhancing Efficiency and Sustainability in Offshore Oil and Gas Operations through Digital Twin and AI Technology: A Practitioner's View

Yale Zhang, Lukito Lau, Paul Yanchus, Zaman Forootan, Zaid Marfatia
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221957-MS
https://doi.org/10.2118/221957-MS
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View Paper titled, Enhancing Efficiency and Sustainability in Offshore Oil and Gas Operations through Digital Twin and AI Technology: A Practitioner's View
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Proceedings Papers

Advanced Corrosion Classification Utilizing Machine Learning and Deep Learning Algorithms

Ali H. Alquraini, Hussain H. Al Sadah, Ryyan A. Bayounis, Mohammad S. Al-Kadem
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221964-MS
https://doi.org/10.2118/221964-MS
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View Paper titled, Advanced Corrosion Classification Utilizing Machine Learning and Deep Learning Algorithms
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Proceedings Papers

Oil and Gas Field Digital Twin Full Lifecycle Management Platform and Application Based on Meta-Universe Technology

Y. Zhang, Z. Song, X. Lu, B. Chen, Q. Zhang, G. Su
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221969-MS
https://doi.org/10.2118/221969-MS
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View Paper titled, Oil and Gas Field Digital Twin Full Lifecycle Management Platform and Application Based on Meta-Universe Technology
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Proceedings Papers

AI-Assisted Subtle Faults Characterization Based on the Integrated Seismic Diffraction Imaging and its Application in M Oilfield, Middle East

Chen Xin, He Wenyuan, Song Jiawen, Huang Yanlin, Gao Jiangtao, Wang Shize, Lyu Xiaolin, Xiao Dengyi, Wang Bo, Tang Zichang, Li Qiang, An Fuli, Xia Yaliang
Paper presented at the ADIPEC, November 4–7, 2024
Paper Number: SPE-221972-MS
https://doi.org/10.2118/221972-MS
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View Paper titled, AI-Assisted Subtle Faults Characterization Based on the Integrated Seismic Diffraction Imaging and its Application in M Oilfield, Middle East
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