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Proceedings Papers

Novel Deployment of Noninvasive Sensing Technology Improves Wellhead Installation

Haw Keat Lim, Bruce Hogg, Alberto Gil, Yong Wee Lee, Onur Ozen, Pontus Loviken, Josselin Kherroubi
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210296-MS
DOI: https://doi.org/10.2118/210296-MS
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Using AI Cuttings Load Classification to Assess Hole Cleaning and Wellbore Stability

Calvin Holt, Francois Ruel
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210369-MS
DOI: https://doi.org/10.2118/210369-MS
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An Optimum Well Control Using Reinforcement Learning and Policy Transfer; Application to Production Optimization and Slugging Minimization

Jonah Poort, Jasper Van der Waa, Tommaso Mannucci, Pejman Shoeibi Omrani
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210277-MS
DOI: https://doi.org/10.2118/210277-MS
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A Knowledge-Based Artificial Intelligence Approach to Risk Management

Javier Canon, Theresa Broussard, Andrew Johnson, Will Singletary, Lolymar Colmenares-Diaz
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210303-MS
DOI: https://doi.org/10.2118/210303-MS
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A Comprehensive and Low-Cost Wellbore Tubing and Pipeline Inspection Tool Using Electromagnetic Coupling and Machine Learning

Tarek M. Mostafa, Guang Ooi, Moutazbellah Khater, Mehmet Ozakin, Mohamed Larbi Zeghlache, Hakan Bagci, Shehab Ahmed
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210318-MS
DOI: https://doi.org/10.2118/210318-MS
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Application of Machine Learning for Mineralogy Prediction from Well Logs in the Bakken Petroleum System

Aimen Laalam, Aldjia Boualam, Habib Ouadi, Sofiane Djezzar, Olusegun Tomomewo, Ilyas Mellal, Omar Bakelli, Ahmed Merzoug, Abderraouf Chemmakh, Abdeljallil Latreche, Badr Eddine Berrehal
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210336-MS
DOI: https://doi.org/10.2118/210336-MS
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Real-time Electrical Submersible Pump Smart Alarms Suite Enabled Through Data Analytics and Edge-based Virtual Flowmeter

Lichi Deng, Amey Ambade, Miguel Hernandez de la Bastida, Daniel Davalos, Julia Carrera Zanafria, Supriya Gupta
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209958-MS
DOI: https://doi.org/10.2118/209958-MS
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Application of Natural Language techniques in Reservoir Management Framework

Silvia Vimercati, Emanuele Vignati, Pamela Mariotti, Sabatino Severino, Lorenzo Raimondi, Christian Onzaca
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209961-MS
DOI: https://doi.org/10.2118/209961-MS
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Improved Operational Carbon Footprint Reduction by Using a Data-Driven Method in Chemical Treatment Candidate Selection

Ke-Thia Yao, Cauligi S. Raghavenda, Cyrus Ashayeri, Dhruvil Trivedi, Tirth Patel, Manish Lal, Richard Row, Attila Aksehirli, Iraj Ershaghi
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209999-MS
DOI: https://doi.org/10.2118/209999-MS
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Successful Reservoir Management and Optimization of Mature Steamflood Projects Using Artificial Intelligence

Andrei Popa, Chris Lolley, Juan Munoz, Lozano Ramos Luz, Chris Angelo, Kenneth Lewis, Al Lwin, Alexia Tirtawidjaja, Jacob Umbriaco
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209988-MS
DOI: https://doi.org/10.2118/209988-MS
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Leveraging SME Knowledge with Big Data Multiply the Value of Both

Robert Van Kuilenburg, Martijn Handels
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209970-MS
DOI: https://doi.org/10.2118/209970-MS
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Machine-Learning-Assisted Modeling of Diverting Agent Performance for Multiple Fracture Propagation

Chin Hsiang Chan, Kenji Furui, Shusaku Mandai, Setsuka Kuwagaki, Yuuya Kanamori, Yasuhiro Hirano
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-209995-MS
DOI: https://doi.org/10.2118/209995-MS
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Optimizing Focused Reservoir Fluid Sampling Using a Deterministic Causation Artificial Intelligence Intuition Technology

Rabindra Chakraborty, Chengli Dong, Hani Elshahawi, Jeroen Smith, Shyam Ramaswami
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210091-MS
DOI: https://doi.org/10.2118/210091-MS
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Implementation of Asynchronous Distributed Gauss-Newton Optimization Algorithms for Uncertainty Quantification by Conditioning to Production Data

Guohua Gao, Horacio Florez, Sean Jost, Shakir Shaikh, Kefei Wang, Jeroen Vink, Carl Blom, Terence Wells, Fredrik Saaf
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210118-MS
DOI: https://doi.org/10.2118/210118-MS
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Stampede Digital Twin: An Advanced Solution for Process Equipment Condition Monitoring

Dryonis Rodriguez, Paul Clare, Rohit Srikonda, Monika Suvarna
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210106-MS
DOI: https://doi.org/10.2118/210106-MS
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Apply Reduced-Physics Modeling to Accelerate Depletion Planning Optimization Under Subsurface Uncertainty

Alireza Sanaei, Shuai He, Joshua Pope, Santosh Verma, Rick Mifflin, Amr El-Bakry
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210217-MS
DOI: https://doi.org/10.2118/210217-MS
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Life-Cycle Production Optimization of the CO 2 -Water-Alternating-Gas Injection Process Using Least-Squares Support-Vector Regression (LS-SVR) Proxy

Azad Almasov, Mustafa Onur
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210200-MS
DOI: https://doi.org/10.2118/210200-MS
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Uncertainty and Sensitivity Analysis of Multi-Phase Flow in Fractured Rocks: A Pore-To-Field Scale Investigation

Xupeng He, Zhen Zhang, Marwah AlSinan, Yiteng Li, Hyung Kwak, Hussein Hoteit
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210131-MS
DOI: https://doi.org/10.2118/210131-MS
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A Robust Workflow for Optimizing Drilling/Completion/Frac Design Using Machine Learning and Artificial Intelligence

Aymen Alhemdi, Ming Gu
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210160-MS
DOI: https://doi.org/10.2118/210160-MS
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Improved Information Retrieval From Well Related Documents Using Supervised Learning

Glenn Miers, Marek Czernuszenko, Brian Hughes
Paper presented at the SPE Annual Technical Conference and Exhibition, October 3–5, 2022
Paper Number: SPE-210146-MS
DOI: https://doi.org/10.2118/210146-MS
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