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Proceedings Papers
SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry
January 17–18, 2023
Al Khobar, Saudi Arabia
ISBN:
978-1-61399-988-2
Day 2 Wed, January 18, 2023
Session 3: Reservoir Petrophysics and Formation Evaluation
A Novel High-Speed AI-Physics Hybrid Model to Predict the Reservoir Behavior; A Case Study
Ali Qubian; Mohammed Ahmad Zekraoui; Sina Mohajeri; Emad Mortezazadeh; Reza Eslahi; Maryam Bakhtiari; Abrar Al Dabbous; Asma Al Sagheer; Ali Alizadeh; Mostafa Zeinali
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214475-MS
Session 4: Production and Operations
Physics-Informed Neural Networks and Capacitance-Resistance Model: Fast and Accurate Oil and Water Production Forecast Using End-to-End Architecture
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214461-MS
Case Study: Predicting Electrical Submersible Pump Failures Using Artificial Intelligence and Physics-Based Hybrid Models
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214462-MS
AI in Hydraulic Fracturing: The Journey from Guessing to Certainty
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214463-MS
Session 5: AI in Drilling
A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214465-MS
Using Nonlinear Least Squares Method & Techniques to Predict Drilling Performance Based on Learning Curve Equation
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214466-MS
Advisory System for Drilling Optimization Using Artificial Intelligence and In-Cutter Sensing Data
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214468-MS
Session 6: Projects, Facilities, and Construction
Applying Operations Research to Optimize Annual Delivery Program (ADP) in LNG Transport: Opportunities and Challenges
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214470-MS
Optimization of Architecture and Operation of Intelligent Wells Under Geological and Economic Uncertainties
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214471-MS
Session 7: Reservoir Simulation and Evaluation
Development of an Artificial Neural Network Model and an Empirical Correlation for Predicting the Isobaric Instantaneous Thermal Expansion Coefficient of Crude Oils
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214473-MS
Digitally Augmented Subsurface History Match (DASH-Sim): A New Frontier in Reservoir Simulation History Matching
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214474-MS
Application of Data-Mining Algorithms to Parameterize Static and Dynamic Models
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214476-MS
Session 8: Data Science and Engineering Analytics
Enhancing Drilling Operations Through Edge Analytics: Evaluation of IIoT Architecture for Remote Rig Automation
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214477-MS
Standardizing and Automating Well Log Data Sources in Subsurface Applications
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, Al Khobar, Saudi Arabia, January 2023. doi: https://doi.org/10.2118/214478-MS
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