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Proceedings Papers

It is not our fault... yet; A multiattribute and swarm intelligence analysis for upper basement region for fault identification in Decatur, Illinois

Hy Tran, Heather Bedle, David Lubo-Robles, Alexandro Vera-Arroyo
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4092423
https://doi.org/10.1190/image2024-4092423.1
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View Paper titled, It is not our fault... yet; A multiattribute and swarm intelligence analysis for upper basement region for fault identification in Decatur, Illinois
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Proceedings Papers

Application of vector plots, LIME, and SHAP for seismic facies machine learning evaluation

Heather Bedle, David Lubo-Robles
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 26–29, 2024
Paper Number: SEG-2024-4092987
https://doi.org/10.1190/image2024-4092987.1
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View Paper titled, Application of vector plots, LIME, and SHAP for seismic facies machine learning evaluation
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Proceedings Papers

CO 2 injectivity and storage potential of the Arbuckle Group using supervised machine learning and seismic-constrained reservoir modeling and simulation, Wellington Field, Kansas

Abidin B. Caf, David Lubo-Robles, Matthew J. Pranter, Heather Bedle, Kurt J. Marfurt, Zulfiquar A. Reza
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3751017
https://doi.org/10.1190/image2022-3751017.1
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View Paper titled, CO 2 injectivity and storage potential of the Arbuckle Group using supervised machine learning and seismic-constrained reservoir modeling and simulation, Wellington Field, Kansas
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Proceedings Papers

Machine learning model interpretability using SHAP values: Application to a seismic facies classification task

David Lubo-Robles, Deepak Devegowda, Vikram Jayaram, Heather Bedle, Kurt J. Marfurt, Matthew J. Pranter
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3428275
https://doi.org/10.1190/segam2020-3428275.1
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View Paper titled, Machine learning model interpretability using SHAP values: Application to a seismic facies classification task
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Proceedings Papers

Seismic attribute selection for machine learning based facies analysis

Jie Qi, Thang Ha, Bin Lyu, David Lubo-Robles, Kurt Marfurt
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216007
https://doi.org/10.1190/segam2019-3216007.1
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View Paper titled, Seismic attribute selection for machine learning based facies analysis
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Proceedings Papers

Supervised seismic facies classification using probabilistic neural networks: Which attributes should the interpreter use?

David Lubo-Robles, Thang Ha, S. Lakshmivarahan, Kurt J. Marfurt
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216841
https://doi.org/10.1190/segam2019-3216841.1
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View Paper titled, Supervised seismic facies classification using probabilistic neural networks: Which attributes should the interpreter use?
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Proceedings Papers

Unsupervised seismic-facies classification using independent-component analysis

David Lubo-Robles, Kurt J. Marfurt
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2998392
https://doi.org/10.1190/segam2018-2998392.1
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View Paper titled, Unsupervised seismic-facies classification using independent-component analysis
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Proceedings Papers

Delineation of thick incised canyons using spectral-decomposition analysis, curvature and self-organizing maps in the Exmouth Plateau, Australia

David Lubo-Robles, Kurt Marfurt
Paper presented at the 2017 SEG International Exposition and Annual Meeting, September 24–29, 2017
Paper Number: SEG-2017-17790008
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View Paper titled, Delineation of thick incised canyons using spectral-decomposition analysis, curvature and self-organizing maps in the Exmouth Plateau, Australia
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