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Kurt J. Marfurt
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Proceedings Papers

Quantifying uncertainty in unsupervised machine learning methods for seismic facies using outcrop-derived 3D models and synthetic seismic data

Karelia La Marca, Heather Bedle, Lisa Stright, Rafael Pires de Lima, Kurt J. Marfurt
Paper presented at the SEG/AAPG International Meeting for Applied Geoscience & Energy, August 28–September 1, 2022
Paper Number: SEG-2022-3746992
https://doi.org/10.1190/image2022-3746992.1
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View Paper titled, Quantifying uncertainty in unsupervised machine learning methods for seismic facies using outcrop-derived 3D models and synthetic seismic data
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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

Fault surface objects from fault probability volumes using active contours

Jose Pedro Mora, Heather Bedle, Kurt J. Marfurt
Paper presented at the SEG/AAPG/SEPM First International Meeting for Applied Geoscience & Energy, September 26–October 1, 2021
Paper Number: SEG-2021-3581137
https://doi.org/10.1190/segam2021-3581137.1
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View Paper titled, Fault surface objects from fault probability volumes using active contours
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Proceedings Papers

Multispectral aberrancy

Bin Lyu, Jie Qi, Fangyu Li, Kurt J. Marfurt
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3426483
https://doi.org/10.1190/segam2020-3426483.1
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View Paper titled, Multispectral aberrancy
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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

Constructing fault-surface objects from fault-sensitive attributes

Jose Pedro Mora, Heather Bedle, Kurt. J. Marfurt
Paper presented at the SEG International Exposition and Annual Meeting, October 11–16, 2020
Paper Number: SEG-2020-3425159
https://doi.org/10.1190/segam2020-3425159.1
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View Paper titled, Constructing fault-surface objects from fault-sensitive attributes
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Proceedings Papers

Transforming seismic data into pseudo-RGB images to predict CO2 leakage using pre-learned convolutional neural networks weights

Rafael Pires de Lima, Youzuo Lin, Kurt J. Marfurt
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215401
https://doi.org/10.1190/segam2019-3215401.1
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View Paper titled, Transforming seismic data into pseudo-RGB images to predict CO2 leakage using pre-learned convolutional neural networks weights
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Proceedings Papers

Seismic fault enhancement using spectral decomposition assisted attributes

Bin Lyu, Jie Qi, Gabriel Machado, Fangyu Li, Kurt J. Marfurt
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3215703
https://doi.org/10.1190/segam2019-3215703.1
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View Paper titled, Seismic fault enhancement using spectral decomposition assisted attributes
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Proceedings Papers

Seismic random noise attenuation in f-x domain using complex-valued residual convolutional neural network

Yuji Kim, Robert Hardisty, Kurt J. Marfurt
Paper presented at the SEG International Exposition and Annual Meeting, September 15–20, 2019
Paper Number: SEG-2019-3216543
https://doi.org/10.1190/segam2019-3216543.1
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View Paper titled, Seismic random noise attenuation in f-x domain using complex-valued residual convolutional neural network
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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 Machine Learning Applications for Seismic Facies Classification

Satinder Chopra, Kurt J. Marfurt
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 22–24, 2019
Paper Number: URTEC-2019-557-MS
https://doi.org/10.15530/urtec-2019-557
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View Paper titled, Unsupervised Machine Learning Applications for Seismic Facies Classification
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Proceedings Papers

Highlighting discontinuities with variational mode decomposition based coherence

Bin Lyu, Fangyu Li, Jie Qi, Tao Zhao, Kurt J. Marfurt
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2997710
https://doi.org/10.1190/segam2018-2997710.1
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View Paper titled, Highlighting discontinuities with variational mode decomposition based coherence
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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

A reverse time migration workflow of passive source with joint-imaging conditions

Bin Lyu, Nori Nakata, Kurt J. Marfurt
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2998330
https://doi.org/10.1190/segam2018-2998330.1
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View Paper titled, A reverse time migration workflow of passive source with joint-imaging conditions
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Proceedings Papers

Igneous bodies that look like sedimentary features in seismic data: A way to avoid pitfalls in seismic interpretation

Lennon Infante-Paez, Kurt J. Marfurt, Bradley Wallet
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2998555
https://doi.org/10.1190/segam2018-2998555.1
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View Paper titled, Igneous bodies that look like sedimentary features in seismic data: A way to avoid pitfalls in seismic interpretation
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Proceedings Papers

Principal component analysis and K-means analysis of airborne gamma-ray spectrometry surveys

Rafael Pires de Lima, Kurt J. Marfurt
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2996506
https://doi.org/10.1190/segam2018-2996506.1
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View Paper titled, Principal component analysis and K-means analysis of airborne gamma-ray spectrometry surveys
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Proceedings Papers

Structure constrained spectral decomposition based on matching-pursuit method

Tengfei Lin, Bo Zhang, Xingfang Liu, Kurt J Marfurt
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2995263
https://doi.org/10.1190/segam2018-2995263.1
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View Paper titled, Structure constrained spectral decomposition based on matching-pursuit method
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Proceedings Papers

Seismic facies classification using some unsupervised machine-learning methods

Satinder Chopra, Kurt J. Marfurt
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2997356
https://doi.org/10.1190/segam2018-2997356.1
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View Paper titled, Seismic facies classification using some unsupervised machine-learning methods
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Proceedings Papers

Seismic facies classification using random forest algorithm

Yuji Kim, Robert Hardisty, Emilio Torres, Kurt J. Marfurt
Paper presented at the 2018 SEG International Exposition and Annual Meeting, October 14–19, 2018
Paper Number: SEG-2018-2998553
https://doi.org/10.1190/segam2018-2998553.1
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View Paper titled, Seismic facies classification using random forest algorithm
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Proceedings Papers

Coherence Attribute Applications on Seismic Data in Various Guises

Satinder Chopra, Kurt J. Marfurt
Paper presented at the SPE/AAPG/SEG Unconventional Resources Technology Conference, July 23–25, 2018
Paper Number: URTEC-2886034-MS
https://doi.org/10.15530/URTEC-2018-2886034
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View Paper titled, Coherence Attribute Applications on Seismic Data in Various Guises
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