Resource Library
Identify Reservoirs by Combining Machine Learning, Petrophysics, and Bi-variate Statistics
Geophysical Insights
The tools of machine learning, petrophysics, well logs, and bi-variate statistics are applied in an integrated methodology to identify and ...
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A workflow to skeletonize faults and stratigraphic features
Geophysics
In this paper, we introduce a 3D fault directional skeletonization workflow (Figure 1) that uses the dip magnitude and azimuth ...
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Machine Learning – New Discoveries & Reservoir Optimization
AAPG Energy Insights
Deborah Sacrey, owner of Auburn Energy, presented at the the AAPG Deep Learning TIG for a free lunch and learn ...
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Which seismic attributes are best for subtle fault detection?
Interpretation Journal
By Marwa Hussein, Robert R. Stewart and Jonny Wu | Published with permission: Interpretation Journal | May 2021Download PDF Table of ...
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The Scientific Universe From Square One to SOM – April 27-28 2021
Geophysical Insights
GSH-SEG Spring Symposium-Data Science and Geophysics: How Machine Learning and AI will Change Our Industry - Apr 27-28 This year ...
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Comparing convolutional neural networking and image processing seismic fault detection methods
SEG 2020
By Jie Qi, Bin Lyu, Xinming Wu and Kurt Marfurt, | Published with permission: SEG| Oct 2020Download PDF Table of ...
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Unsupervised Machine Learning Applied to Direct-P and Converted-P Data – a free webinar, 17/18 February 2021
Geophysical Insights
This webinar features a 45-minute presentation by Dr. Bob Hardage (CV below), a researcher and proponent of the application of ...
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Fabric and internal architecture of Permian Basin turbidites indicated by unsupervised machine learning analysis of P-P and SV-P images
Interpretation Journal
By Bob Hardage, Tom Smith, Diana Sava, Yi Wang, Rocky Roden, Gary Jones, and Sarah Stanley | Published with permission: Interpretation ...
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A Tale of Two Reservoirs: How Machine Learning can Help Define “Sweet Spots” in Conventional and Unconventional Reservoirs
2020 Oil & Gas Machine Learning Symposium
In the past, SOM has been used on only one attribute at a time using the seismic wavelet as the ...
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