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SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry
October 18–19, 2021
Virtual
ISBN:
978-1-61399-840-3
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SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry
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
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
Session 7: Simulation
Successful Application of Machine Learning to Improve Dynamic Modeling and History Matching for Complex Gas-Condensate Reservoirs in Hai Thach Field, Nam Con Son Basin, Offshore Vietnam
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021. doi: https://doi.org/10.2118/208657-MS
AI for Production Forecasting and Optimization of Gas Wells: A Case Study on a Gas Field in Oman
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021. doi: https://doi.org/10.2118/208658-MS
Session 8: Geology and Petrophysics
Discriminating Shale Layers by Pseudo CGR Logs Created 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/10.2118/208663-MS
ePoster Session 5
Application of Machine Learning in Gas-Hydrate Formation and Trendline Prediction
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021. doi: https://doi.org/10.2118/208653-MS
ePoster Session 7
Modelling of Electric Submersible Pump Work on Gas-Liquid Mixture by Machine Learning
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021. doi: https://doi.org/10.2118/208661-MS
Successful Application of Honey-Bee Optimization Technique in Reservoir Engineering Assisted History Matching: Case Study
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021. doi: https://doi.org/10.2118/208662-MS
ePoster Session 8
Deep Learning Enabled Deblurring of Computed Tomography Images of Porous Media
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021. doi: https://doi.org/10.2118/208665-MS
Prediction of Gas Viscosity of Yemeni Gas Fields Using Machine Learning Techniques
Paper presented at the SPE Symposium: Artificial Intelligence - Towards a Resilient and Efficient Energy Industry, Virtual, October 2021. doi: https://doi.org/10.2118/208667-MS
