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Proceedings Papers

Well-Integrity Assessment Across Different Geological Areas by Deriving Insights from Complex Knowledge Base

Ankit Kumar, Amit Priyadarshan
Publisher: Society of Petroleum Engineers (SPE)
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211240-MS
DOI: https://doi.org/10.2118/211240-MS
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Proceedings Papers

Use of Numerical Simulation Enhanced by Machine Learning Techniques to Optimize Chemical EOR Application

Guillaume Suzanne, Amir Soltani, Sebastien Charonnat, Eric Delamaide
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211400-MS
DOI: https://doi.org/10.2118/211400-MS
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View Paper titled, Use of Numerical Simulation Enhanced by Machine Learning Techniques to Optimize Chemical EOR Application
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Proceedings Papers

Data-Driven Characterization of Saturation Distribution for a Heterogeneous Carbonate Reservoir in Middle East

Chenji Wei, Ruijie Huang, Jian Yang, Yan Gao, Lihui Xiong
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211355-MS
DOI: https://doi.org/10.2118/211355-MS
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View Paper titled, Data-Driven Characterization of Saturation Distribution for a Heterogeneous Carbonate Reservoir in Middle East
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Proceedings Papers

An Effective Method of Estimating Nuclear Magnetic Resonance Based Porosity Using Deep Learning Approach

Zeeshan Tariq, Manojkumar Gudala, Zhen Xu, Bicheng Yan, Shuyu Sun, Mohamed Mahmoud
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211360-MS
DOI: https://doi.org/10.2118/211360-MS
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View Paper titled, An Effective Method of Estimating Nuclear Magnetic Resonance Based Porosity Using Deep Learning Approach
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Proceedings Papers

Expediting Chemical Enhanced Oil Recovery Processes with Prediction of Chemical Reaction Yield Using Machine Learning

Ashutosh Kumar, Robin Marlar Rajendran
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211832-MS
DOI: https://doi.org/10.2118/211832-MS
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View Paper titled, Expediting Chemical Enhanced Oil Recovery Processes with Prediction of Chemical Reaction Yield Using Machine Learning
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Proceedings Papers

Semi-Supervised Learning for Geotechnical Soil Property Estimation in Offshore Windfarm Sites

Haibin Di, Aria Abubakar
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211836-MS
DOI: https://doi.org/10.2118/211836-MS
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View Paper titled, Semi-Supervised Learning for Geotechnical Soil Property Estimation in Offshore Windfarm Sites
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Proceedings Papers

Video Analysis of Flare Stacks with an Autonomous Low-Cost Aerial System

Muaz Al Radi, Hamad Karki, Naoufel Werghi, Sajid Javed, Jorge Dias
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211007-MS
DOI: https://doi.org/10.2118/211007-MS
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View Paper titled, Video Analysis of Flare Stacks with an Autonomous Low-Cost Aerial System
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Proceedings Papers

Deep-Learning-Based Surrogate Reservoir Model for History-Matching Optimization

Alaa Maarouf, Sofiane Tahir, Shi Su, Samat Ramatullayev, Coriolan Rat, Chakib Kada Kloucha, Hussein Mustapha
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211061-MS
DOI: https://doi.org/10.2118/211061-MS
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View Paper titled, Deep-Learning-Based Surrogate Reservoir Model for History-Matching Optimization
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Proceedings Papers

Intelligent Production Optimization Decisions: Prioritizing Production Optimization Through Machine Learning Aided Uplift Quantification

Akriti Sharma, Alex Chonghyun Ahn, Jihoon Park, Vikash Singh, Mariana Rodriguez-Buno, Amr El-Bakry, John Kwong, Brett Garrison, Tyler Gelowitz
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211053-MS
DOI: https://doi.org/10.2118/211053-MS
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View Paper titled, Intelligent Production Optimization Decisions: Prioritizing Production Optimization Through Machine Learning Aided Uplift Quantification
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Proceedings Papers

Rapid NMR T2 Extraction from Micro-CT Images Using Machine Learning

Yiteng Li, Xupeng He, Marwa Alsinan, Hyung Kwak, Hussein Hoteit
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211095-MS
DOI: https://doi.org/10.2118/211095-MS
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Proceedings Papers

Monitoring Mechanical Equipment on an Offshore Rig with Contrastive Learning on Acoustic Features

Ankit Kumar, Amit Priyadarshan, Pragadeesh K Sekar
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211145-MS
DOI: https://doi.org/10.2118/211145-MS
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View Paper titled, Monitoring Mechanical Equipment on an Offshore Rig with Contrastive Learning on Acoustic Features
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Proceedings Papers

Which Technology is Right for Your Field? – Quantifying Technology Significance

Noureldien Darhim Mohammed
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211127-MS
DOI: https://doi.org/10.2118/211127-MS
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Proceedings Papers

Multi-Frequency Data Acquisition Model and Hybrid Neural Network for Precise Electromagnetic Wellbore Casing Inspection

Guang An Ooi, Moutazbellah Khater, Mehmet Burak Ozakin, Tarek M. Mostafa, Hakan Bagci, Shehab Ahmed
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211807-MS
DOI: https://doi.org/10.2118/211807-MS
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View Paper titled, Multi-Frequency Data Acquisition Model and Hybrid Neural Network for Precise Electromagnetic Wellbore Casing Inspection
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Proceedings Papers

Doing More with Less: Application of Machine Learning Regularization for Well Log Predictions and Model Building in Sparse Data Environment

Hifzhul Arif Ahmad Munif, M Izzuljad Ahmad Fuad, Abd Rahman Ahmad Sharif, Makky Sandra Jaya, Wong Chan, Santosh Mishra
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211608-MS
DOI: https://doi.org/10.2118/211608-MS
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View Paper titled, Doing More with Less: Application of Machine Learning Regularization for Well Log Predictions and Model Building in Sparse Data Environment
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Proceedings Papers

Safer and Faster Drilling through AI Driven Permanent Cuttings Monitoring - An Operator's Approach

Georg Ripperger, Jörg Peisker, Patrick Oberschmidleitner, Richard Josef Werner Kucs, Doris Winkler
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211759-MS
DOI: https://doi.org/10.2118/211759-MS
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View Paper titled, Safer and Faster Drilling through AI Driven Permanent Cuttings Monitoring - An Operator's Approach
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Proceedings Papers

DNN Inversion of Gravity Anomalies for Basement Topography Mapping

Zahra Ashena, Hojjat Kabirzadeh, Xin Wang, Youngsoo Lee, Ik Woo, Mohammed Ali, Jeong Woo Kim
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211800-MS
DOI: https://doi.org/10.2118/211800-MS
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View Paper titled, DNN Inversion of Gravity Anomalies for Basement Topography Mapping
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Proceedings Papers

Predicting UCS with Neural Network and Benchmarking Actual ROP for Further Drilling Optimization

Alexey Alexeyenko
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211770-MS
DOI: https://doi.org/10.2118/211770-MS
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View Paper titled, Predicting UCS with Neural Network and Benchmarking Actual ROP for Further Drilling Optimization
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Proceedings Papers

AI-Assisted Thin Section Analysis, The Making of a Geologically-Realistic Digital Interpretation

Nicolas Leseur, Alba Franco, Li Xin, Fan Yang, Olga Lokhanova, Mounir Belouahchia, Rashid Belmeskin, Zaynab Habibi, Hesham Shebl, Mohamed Tamimi
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211816-MS
DOI: https://doi.org/10.2118/211816-MS
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View Paper titled, AI-Assisted Thin Section Analysis, The Making of a Geologically-Realistic Digital Interpretation
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Proceedings Papers

Near-And Remote-Field Eddy Current Data Fusion: Wellbore Casing Inspection with Hybrid Neural Networks

Guang An Ooi, Tarek M. Mostafa, Moutazbellah Khater, Mehmet Burak Ozakin, Hakan Bagci, Shehab Ahmed
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211805-MS
DOI: https://doi.org/10.2118/211805-MS
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View Paper titled, Near-And Remote-Field Eddy Current Data Fusion: Wellbore Casing Inspection with Hybrid Neural Networks
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Proceedings Papers

Subtle Fault Prediction Technique Based on the Integration of Deep Learning and Seismic Spectral Decomposition

Li Qiang, Chen Xin, Xiao Dengyi, Zhao Min, Qi Qunli, Yang Jianfang, Li Xiaoliang, Peng Bo, An Fuli, Wang Bo, Gao Xiaoli, Yang Chen
Paper presented at the ADIPEC, October 31–November 3, 2022
Paper Number: SPE-211631-MS
DOI: https://doi.org/10.2118/211631-MS
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View Paper titled, Subtle Fault Prediction Technique Based on the Integration of Deep Learning and Seismic Spectral Decomposition
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