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Proceedings Papers

Into the Unknown: Expert System Guides Energy Transition Strategy

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Paul Allan
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214458-MS
https://doi.org/10.2118/214458-MS
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Proceedings Papers

A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction

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Sahar Keshavarz, Petr Vita, Elmar Rueckert, Ronald Ortner, Gerhard Thonhauser
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214465-MS
https://doi.org/10.2118/214465-MS
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View Paper titled, A Reinforcement Learning Approach for Real-Time Autonomous Decision-Making in Well Construction
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Proceedings Papers

Environomics Framework for Sustainable Business Practices: Industrial Case Studies on True Impact Reduction and Process Optimization Through AI

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Abhijith Suboyin, Morgan Eldred, Jimmy Thatcher, Abdul Rehman, Ivan Gee, Hassaan Anjum
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214459-MS
https://doi.org/10.2118/214459-MS
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View Paper titled, Environomics Framework for Sustainable Business Practices: Industrial Case Studies on True Impact Reduction and Process Optimization Through AI
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Proceedings Papers

Enhancing Drilling Operations Through Edge Analytics: Evaluation of IIoT Architecture for Remote Rig Automation

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Fahd Saghir, Tariq Qais, Maher Malibari, Yusef Alaas
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214477-MS
https://doi.org/10.2118/214477-MS
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View Paper titled, Enhancing Drilling Operations Through Edge Analytics: Evaluation of IIoT Architecture for Remote Rig Automation
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Proceedings Papers

Application of Data-Mining Algorithms to Parameterize Static and Dynamic Models

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Babatope O Kayode, Karl D Stephen, Abdullah Kaba
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214476-MS
https://doi.org/10.2118/214476-MS
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View Paper titled, Application of Data-Mining Algorithms to Parameterize Static and Dynamic Models
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Proceedings Papers

A Novel High-Speed AI-Physics Hybrid Model to Predict the Reservoir Behavior; A Case Study

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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, January 17–18, 2023
Paper Number: SPE-214475-MS
https://doi.org/10.2118/214475-MS
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View Paper titled, A Novel High-Speed AI-Physics Hybrid Model to Predict the Reservoir Behavior; A Case Study
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Proceedings Papers

Physics-Informed Neural Networks and Capacitance-Resistance Model: Fast and Accurate Oil and Water Production Forecast Using End-to-End Architecture

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Elizaveta S. Gladchenko, Egor A. Illarionov, Denis M. Orlov, Dmitry A. Koroteev
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214461-MS
https://doi.org/10.2118/214461-MS
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View Paper titled, Physics-Informed Neural Networks and Capacitance-Resistance Model: Fast and Accurate Oil and Water Production Forecast Using End-to-End Architecture
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Proceedings Papers

Leveraging AI for Inventory Management and Accurate Forecast – An Industrial Field Study

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Morgan Edward Eldred, Jimmy Thatcher, Abdul Rehman, Ivan Gee, Abhijith Suboyin
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214457-MS
https://doi.org/10.2118/214457-MS
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View Paper titled, Leveraging AI for Inventory Management and Accurate Forecast – An Industrial Field Study
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Proceedings Papers

Case Study: Predicting Electrical Submersible Pump Failures Using Artificial Intelligence and Physics-Based Hybrid Models

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Shejuti Silvia, Yocheved Gilad, Thomas Andrew Wilson, Babak Akbari, Edward R. Furlong
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214462-MS
https://doi.org/10.2118/214462-MS
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View Paper titled, Case Study: Predicting Electrical Submersible Pump Failures Using Artificial Intelligence and Physics-Based Hybrid Models
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Proceedings Papers

Using Nonlinear Least Squares Method & Techniques to Predict Drilling Performance Based on Learning Curve Equation

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Mustafa Amer, Beshir Aman, Asem Radhwi
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214466-MS
https://doi.org/10.2118/214466-MS
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View Paper titled, Using Nonlinear Least Squares Method & Techniques to Predict Drilling Performance Based on Learning Curve Equation
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Proceedings Papers

AI in Hydraulic Fracturing: The Journey from Guessing to Certainty

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Thiago Machado, Adnan Mohammed
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214463-MS
https://doi.org/10.2118/214463-MS
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View Paper titled, AI in Hydraulic Fracturing: The Journey from Guessing to Certainty
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Proceedings Papers

Standardizing and Automating Well Log Data Sources in Subsurface Applications

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Pranav Kumar, Anish Krishnapillai
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214478-MS
https://doi.org/10.2118/214478-MS
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View Paper titled, Standardizing and Automating Well Log Data Sources in Subsurface Applications
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Proceedings Papers

Development of an Artificial Neural Network Model and an Empirical Correlation for Predicting the Isobaric Instantaneous Thermal Expansion Coefficient of Crude Oils

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Muhammad Al-Marhoun
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214473-MS
https://doi.org/10.2118/214473-MS
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View Paper titled, Development of an Artificial Neural Network Model and an Empirical Correlation for Predicting the Isobaric Instantaneous Thermal Expansion Coefficient of Crude Oils
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Proceedings Papers

Advisory System for Drilling Optimization Using Artificial Intelligence and In-Cutter Sensing Data

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Alexis Koulidis, Shehab Ahmed
Paper presented at the SPE Symposium Leveraging Artificial Intelligence to Shape the Future of the Energy Industry, January 17–18, 2023
Paper Number: SPE-214468-MS
https://doi.org/10.2118/214468-MS
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View Paper titled, Advisory System for Drilling Optimization Using Artificial Intelligence and In-Cutter Sensing Data
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Proceedings Papers

Discriminating Shale Layers by Pseudo CGR Logs Created Using Artificial Intelligence

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Saud K. Aldajani, Saud F. Alotaibi, Abdulazeez Abdulraheem
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208663-MS
https://doi.org/10.2118/208663-MS
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View Paper titled, Discriminating Shale Layers by Pseudo CGR Logs Created Using Artificial Intelligence
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Proceedings Papers

AI for Production Forecasting and Optimization of Gas Wells: A Case Study on a Gas Field in Oman

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Mohammed Al Lawati, Jimmy Thatcher, Abdul Rehman, Ivan Gee, Morgan Eldred
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208658-MS
https://doi.org/10.2118/208658-MS
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View Paper titled, AI for Production Forecasting and Optimization of Gas Wells: A Case Study on a Gas Field in Oman
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Proceedings Papers

The Necessity for Collaboration Between Data Scientists and Domain Experts

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Patrick Bangert
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208634-MS
https://doi.org/10.2118/208634-MS
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View Paper titled, The Necessity for Collaboration Between Data Scientists and Domain Experts
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Proceedings Papers

Evaluation of Machine Learning Methods for Prediction of Multiphase Production Rates

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Anton Gryzlov, Liliya Mironova, Sergey Safonov, Muhammad Arsalan
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208648-MS
https://doi.org/10.2118/208648-MS
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View Paper titled, Evaluation of Machine Learning Methods for Prediction of Multiphase Production Rates
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Proceedings Papers

Deep Learning Enabled Deblurring of Computed Tomography Images of Porous Media

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Khalid Labib Alsamadony, Ertugrul Umut Yildirim, Guenther Glatz, Umair bin Waheed, Sherif M. Hanafy
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208665-MS
https://doi.org/10.2118/208665-MS
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View Paper titled, Deep Learning Enabled Deblurring of Computed Tomography Images of Porous Media
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Proceedings Papers

Creating Opportunities for Successful Artificial Intelligence Applications in the Upstream Petroleum Industry

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Fatai Adesina Anifowose
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, October 18–19, 2021
Paper Number: SPE-208875-MS
https://doi.org/10.2118/208875-MS
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View Paper titled, Creating Opportunities for Successful Artificial Intelligence Applications in the Upstream Petroleum Industry
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