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Proceedings Papers

A Comparative Study for Machine-Learning-Based Methods for Log Prediction

Vanessa Simoes, Hiren Maniar, Tao Zhao, Aria Abubakar, Ridvan Akkurt
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0067
DOI: https://doi.org/10.30632/SPWLA-2022-0067
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Machine Learning for Determining Remaining Oil Saturation Based on C/O Spectral Logging in Multilayer String Cased Well

Fei Qiu, Feng Zhang, Zhiyuan Liu, Guiping Xiao, Qunwei Fang
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0082
DOI: https://doi.org/10.30632/SPWLA-2022-0082
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Automated Corrosion Analysis with Prior Domain Knowledge-Informed Neural Networks

Salma Benslimane, Josselin Kherroubi, Kamaljeet Singh, Jean-Luc Le Calvez, Thomas Berard, Mikhail Lemarenko
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0097
DOI: https://doi.org/10.30632/SPWLA-2022-0097
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Best Image: Deep Learning for Saliency Estimation Using Expert Rankings

Pontus Loviken, Nadege Bize-Forest, Daniel Quesada, Fatma Mahfoudh, Josselin Kherroubi
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0098
DOI: https://doi.org/10.30632/SPWLA-2022-0098
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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
DOI: https://doi.org/10.30632/SPWLA-2022-0103
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Embedding Artificial Intelligence on LWD Images for Automated Drilling Optimization

A. Escobar, J. Kherroubi, D. Quesada, N. Bize-Forest, C. Shrivastava, M. Tarrius, E. Padin
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0106
DOI: https://doi.org/10.30632/SPWLA-2022-0106
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Sequential Multi-Realization Probabilistic Interpretation of Well Logs and Geological Prediction by a Deep-Learning Method

Sergey Alyaev, Adrian Ambrus, Nazanin Jahani, Ahmed H. Elsheikh
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0112
DOI: https://doi.org/10.30632/SPWLA-2022-0112
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Multi-Level Reservoir Identification with Logs Based on Machine Learning

Gang Luo, Lizhi Xiao, Guangzhi Liao, Sihui Luo, Rongbo Shao, Jun Zhou, Guojun Li, Shengluan Hou, Jiewen Wu
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0114
DOI: https://doi.org/10.30632/SPWLA-2022-0114
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Automatic Fracture Segmentation and Detection from Image Logging Using Mask R-CNN

Yubo Liu, Guangzhi Liao, Lizhi Xiao, Zhen Liang, Jiawei Zhang, Xinyu Zhang, Zhe Zhang, Jun Zhou, Guojun Li
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0115
DOI: https://doi.org/10.30632/SPWLA-2022-0115
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Impact of Missing Data on Petrophysical Regression-Based Machine Learning Model Performance

Andrew McDonald
Paper presented at the SPWLA 63rd Annual Logging Symposium, June 11–15, 2022
Paper Number: SPWLA-2022-0125
DOI: https://doi.org/10.30632/SPWLA-2022-0125
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Deep Dielectric-Based Water Saturation in Freshwater and Mixed Salinity Environments

Ping Zhang, Wael Abdallah, Gong Li Wang, Shouxiang Mark Ma
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0033
DOI: https://doi.org/10.30632/SPWLA-2021-0033
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Data Quality Considerations for Petrophysical Machine Learning Models

Andrew McDonald
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0036
DOI: https://doi.org/10.30632/SPWLA-2021-0036
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A Deep-Learning Approach for Lithological Classification Using 3D Whole Core CT-Scan Images

Kurdistan Chawshin, Carl Fredrik Berg, Damiano Varagnolo, Olivier Lopez
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0029
DOI: https://doi.org/10.30632/SPWLA-2021-0029
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Deep-Learning-Based Automated Sedimentary Geometry Characterization from Borehole Images

Marie Lefranc, Zikri Bayraktar, Morten Kristensen, Hedi Driss, Isabelle Le Nir, Philippe Marza, Josselin Kherroubi
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0082
DOI: https://doi.org/10.30632/SPWLA-2021-0082
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Enhanced Mineral Quantification and Uncertainty Analysis from Downhole Spectroscopy Logs Using Variational Autoencoders

Paul Craddock, Prakhar Srivastava, Harish Datir, David Rose, Tong Zhou, Laurent Mosse, Lalitha Venkataramanan
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0069
DOI: https://doi.org/10.30632/SPWLA-2021-0069
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Rv/Rh Anisotropy in Unconventional Formations: Resolving the Riddle of Resistivity

Andrew Barry, Adam Haecker, Siddharth Misra
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0074
DOI: https://doi.org/10.30632/SPWLA-2021-0074
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Automated Selection of Inputs for Log Prediction Models Using a New Feature Selection Method

Ravi Arkalgud, Andrew McDonald, Ross Brackenridge
Paper presented at the SPWLA 62nd Annual Logging Symposium, May 17–20, 2021
Paper Number: SPWLA-2021-0091
DOI: https://doi.org/10.30632/SPWLA-2021-0091
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AI-Boosted Geological Facies Analysis from High-Resolution Borehole Images

Shiduo Yang, Yinyu Wang, Isabelle Le Nir, Alexis He
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5017
DOI: https://doi.org/10.30632/SPWLA-5017
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Automatic Facies Classification from Well Logs

Vasileios-Marios Gkortsas, Lin Liang, Yngve Bolstad Johansen, Lalitha Venkataramanan, Harish Datir
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5075
DOI: https://doi.org/10.30632/SPWLA-5075
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Dual Neural Network Architecture for Determining Permeability and Associated Uncertainty

Ravinath Kausik, Augustin Prado, Vasileios-Marios Gkortsas, Lalitha Venkataramanan, Harish Datir, Yngve Bolstad Johansen
Paper presented at the SPWLA 61st Annual Logging Symposium, June 24–July 29, 2020
Paper Number: SPWLA-5073
DOI: https://doi.org/10.30632/SPWLA-5073
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