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Proceedings Papers
SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry
October 18–19, 2021
Virtual
ISBN:
978-1-61399-840-3
Day 1 Mon, October 18, 2021
Session 1: Democratized AI - The Collaboration Horizon
The Necessity for Collaboration Between Data Scientists and Domain Experts
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021.
doi: https://doi.org/10.2118/208634-MS
Session 2: Augmented Intelligence = Engineering+
Artificial Intelligence Adoption in Drilling Optimization: Guidelines for Successful System Configuration and User Onboarding
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021.
doi: https://doi.org/10.2118/208638-MS
Session 3: Drilling Operations
Generation of a Complete Profile for Porosity Log While Drilling Complex Lithology by Employing the Artificial Intelligence
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021.
doi: https://doi.org/10.2118/208642-MS
Session 4: Operation and Maintenance
Unlocking the Potential of Electrical Submersible Pumps: the Successful Testing and Deployment of a Real-Time Artificially Intelligent System, for Failure Prediction, Run Life Extension, and Production Optimization
Mohammed Al Radhi; Fernando Angel Bermudez; Wael Al Madhoun; Khaled Al Blooshi; Noor Nasser Al Nahhas; Mohammed Nazeih Shono
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021.
doi: https://doi.org/10.2118/208647-MS
Evaluation of Machine Learning Methods for Prediction of Multiphase Production Rates
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021.
doi: https://doi.org/10.2118/208648-MS
Electrical Submersible Pump Prognostics and Health Monitoring Using Machine Learning and Natural Language Processing
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021.
doi: https://doi.org/10.2118/208649-MS
ePoster Session 1
Creating Opportunities for Successful Artificial Intelligence Applications in the Upstream Petroleum Industry
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021.
doi: https://doi.org/10.2118/208875-MS
ePoster Session 3
Real-Time Solution for Down Hole Torque Estimation and Drilling Optimization in High Deviated Wells Using Artificial Intelligence
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021.
doi: https://doi.org/10.2118/208646-MS
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