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Proceedings Papers

A New Workflow for Assessment of Fluid Components and Pore Volumes from 2D NMR Measurements in Formations with Complex Mineralogy and Pore Structure

Artur Posenato Garcia, Robert Mallan, Boqin Sun
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0110
https://doi.org/10.30632/SPWLA-2023-0110
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View Paper titled, A New Workflow for Assessment of Fluid Components and Pore Volumes from 2D NMR Measurements in Formations with Complex Mineralogy and Pore Structure
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Proceedings Papers

Using Artificial Intelligence to Predict Contamination During Formation Fluid Sampling

Anup Hunnur, Sefer Coskun, Emiliano Hall, Junjie Yang
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0127
https://doi.org/10.30632/SPWLA-2023-0127
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View Paper titled, Using Artificial Intelligence to Predict Contamination During Formation Fluid Sampling
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Proceedings Papers

Multiscale Formation Evaluation and Rock Types Identification in the Middle Bakken Formation

Ilyas Mellal, Mohammed Lamine Malki, Abdeldjalil Latrach, Ouafi Ameur-Zaimech, Omar Bakelli
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0012
https://doi.org/10.30632/SPWLA-2023-0012
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View Paper titled, Multiscale Formation Evaluation and Rock Types Identification in the Middle Bakken Formation
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Proceedings Papers

A Machine Learning Approach Performed on New Technology for Images in Oil-Based Mud for Advanced Electro-Facies Analysis – A Case Study from the Norwegian Sea

Sayyid Ahmad, Dler Mirza, Henrik Waage, Robert Gales, Nils Andre Aarseth, Bob Engelman, Peter Barrett, Venkat Jambunathan
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0017
https://doi.org/10.30632/SPWLA-2023-0017
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View Paper titled, A Machine Learning Approach Performed on New Technology for Images in Oil-Based Mud for Advanced Electro-Facies Analysis – A Case Study from the Norwegian Sea
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Proceedings Papers

Developing Live Oil Property Models With Global Fluid Database Using Symbolic Regression

Songhua Chen, Christopher Michael Jones, Bin Dai, Wei Shao
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0018
https://doi.org/10.30632/SPWLA-2023-0018
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View Paper titled, Developing Live Oil Property Models With Global Fluid Database Using Symbolic Regression
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Proceedings Papers

NMR Logging Data Processing Using Deep Learning

Gang Luo, Sihui Luo, Lizhi Xiao, Martin J. Blunt, Branko Bijeljic, Guangzhi Liao, Rongbo Shao
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0026
https://doi.org/10.30632/SPWLA-2023-0026
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View Paper titled, NMR Logging Data Processing Using Deep Learning
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Proceedings Papers

A New Workflow for Estimating Reservoir Properties with Gradient Boosting Model and Joint Inversion Using MWD Measurements

Hyungjoo Lee, Alexander Mitkus, Andrew Pare, Kenneth McCarthy, Marc Willerth, Paul Reynerson, Tannor Ziehm, Timothy Gee
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0044
https://doi.org/10.30632/SPWLA-2023-0044
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View Paper titled, A New Workflow for Estimating Reservoir Properties with Gradient Boosting Model and Joint Inversion Using MWD Measurements
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Proceedings Papers

Risk Reduction in the Derivation of While-Drilling Wellbore Geomechanical Properties by Utilization of Real-Time Surface Logging and Gamma Ray Data Through the Application of Machine Learning Techniques to Pre-Existing Data Sets

Jalal Dashti, Jarrah Al-Jenaie, Bader Al-Ajmi, Othman Matar, Faisal Al-Qattan, Ivo Colombo, Eliana Rosa Russo, Ahmad Shoeibi, Majid Moazami
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0045
https://doi.org/10.30632/SPWLA-2023-0045
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View Paper titled, Risk Reduction in the Derivation of While-Drilling Wellbore Geomechanical Properties by Utilization of Real-Time Surface Logging and Gamma Ray Data Through the Application of Machine Learning Techniques to Pre-Existing Data Sets
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Proceedings Papers

Through-Tubing Casing Inspection for Well Integrity Evaluation Using Physics-Driven Machine Learning Nonlinear Correction

Qinshan Yang, Mohamed Larbi Zeghlache, Marvin Rourke, Alexander Tarasov, Ryan Rugg, Moustafa Ismail, Neil Sookram
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0061
https://doi.org/10.30632/SPWLA-2023-0061
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View Paper titled, Through-Tubing Casing Inspection for Well Integrity Evaluation Using Physics-Driven Machine Learning Nonlinear Correction
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Proceedings Papers

Strata-Constrained GWLSTM Network for Logging Lithology Prediction

Jianjun Li, Haotian Lv, Haining Zhang, Hui Li, Baohai Wu
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0076
https://doi.org/10.30632/SPWLA-2023-0076
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View Paper titled, Strata-Constrained GWLSTM Network for Logging Lithology Prediction
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Propagating Image-Based Rock Classes from Cored Wells to Non-Cored Wells Using Supervised Machine Learning for Enhanced Formation Evaluation

Pallavi Sahu, Andres Gonzalez, Zoya Heidari, Olivier Lopez
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0081
https://doi.org/10.30632/SPWLA-2023-0081
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View Paper titled, Propagating Image-Based Rock Classes from Cored Wells to Non-Cored Wells Using Supervised Machine Learning for Enhanced Formation Evaluation
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Proceedings Papers

Best Practices in Automatic Permeability Estimation: Machine-Learning Methods vs. Conventional Petrophysical Models

Oriyomi Raheem, Wen Pan, Carlos Torres-Verdín, Misael M. Morales
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0084
https://doi.org/10.30632/SPWLA-2023-0084
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View Paper titled, Best Practices in Automatic Permeability Estimation: Machine-Learning Methods vs. Conventional Petrophysical Models
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Proceedings Papers

AI Driven Image Based Digital Twin Rock Properties - Fast, Consistent, and Cost Effective

Ghadeer Alsulami, Shouxiang Mark Ma, Katrina Cox, Allen Britton
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0085
https://doi.org/10.30632/SPWLA-2023-0085
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View Paper titled, AI Driven Image Based Digital Twin Rock Properties - Fast, Consistent, and Cost Effective
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Proceedings Papers

Novel Approach for Machine Learning Assisted Carbonates Reservoirs Saturation Heigh Modeling and Automated Pore Network Characterization

Nader Gerges, Luisa Ana Barillas Cortez, Midhun Madhavan, Sushmitha Kuruba, Lulwa Almarzooqi, Gennady Makarychev, Alaa Maarouf, Christophe Darous, Hussein Mustapha, Chakib Kada Kloucha
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0086
https://doi.org/10.30632/SPWLA-2023-0086
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View Paper titled, Novel Approach for Machine Learning Assisted Carbonates Reservoirs Saturation Heigh Modeling and Automated Pore Network Characterization
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Proceedings Papers

AI Guided Interpretation: Automated Quality Assessment for Depth-Matched Images

Kristina Prokopetc, Alexis He, Salma Benslimane, Josselin Kherroubi, Nadege Bize-Forest
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0087
https://doi.org/10.30632/SPWLA-2023-0087
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View Paper titled, AI Guided Interpretation: Automated Quality Assessment for Depth-Matched Images
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Proceedings Papers

Machine Learning-Enabled Joint Interpretation of Dipole Sonic and Borehole Image Data

Gurami Keretchashvili, Ting Lei, Pontus Loviken, Josselin Kherroubi, Lin Liang, Adam Donald, Romain Prioul
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0089
https://doi.org/10.30632/SPWLA-2023-0089
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View Paper titled, Machine Learning-Enabled Joint Interpretation of Dipole Sonic and Borehole Image Data
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Proceedings Papers

Automation of LWD-Resistivity Workflows with Hybrid Physics + AI / ML

Danil Safin, Armando Vianna, Enrico Ferreira, Yuriy Antonov, Arvi Cheryauka
Publisher: Society of Petrophysicists and Well-Log Analysts
Paper presented at the SPWLA 64th Annual Logging Symposium, June 10–14, 2023
Paper Number: SPWLA-2023-0090
https://doi.org/10.30632/SPWLA-2023-0090
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View Paper titled, Automation of LWD-Resistivity Workflows with Hybrid Physics + AI / ML
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Proceedings Papers

Norwegian Released Wells Project: Study Design, Material Preparation, Measurements and Data Analysis

Odd Kolbjørnsen, Erik Hammer, Stefano Pruno, Peter Wellsbury, Malgorzata Kusak
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0126
https://doi.org/10.30632/SPWLA-2022-0126
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View Paper titled, Norwegian Released Wells Project: Study Design, Material Preparation, Measurements and Data Analysis
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Proceedings Papers

Estimation of Matrix Properties from Geochemical Spectroscopy Logs Using Machine Learning

Vasileios-Marios Gkortsas, Paul Craddock, Jeffrey Miles, Harish Datir, Lalitha Venkataramanan
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0103
https://doi.org/10.30632/SPWLA-2022-0103
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View Paper titled, Estimation of Matrix Properties from Geochemical Spectroscopy Logs Using Machine Learning
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Proceedings Papers

Multi-Scale and Multi-Physics Quantitative Workflow for Integrated and Image-Assisted Rock Classification in Complex Carbonate Formations

Andres Gonzalez, Zoya Heidari
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0104
https://doi.org/10.30632/SPWLA-2022-0104
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View Paper titled, Multi-Scale and Multi-Physics Quantitative Workflow for Integrated and Image-Assisted Rock Classification in Complex Carbonate Formations
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