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Location map of the Taranaki basin, offshore west North Island, New Zealan

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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How machine learning can help define "sweet spots" un conventional and unconventional reservoirs

A Tale Of Two Reservoirs: How Machine Learning Can Help Define “Sweet Spots” In Conventional & Unconventional Reservoirs

Geophysical Insights
Deborah Sacrey, owner of Auburn Energy, will be presenting at the AAPG Pivoting 2021: Learning from Other Industries - Geothermal, ...
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The Scientific Universe From Square One to SOM – April 27-28 2021

The Scientific Universe From Square One to SOM – April 27-28 2021

Geophysical Insights
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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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2020_comparison-CNN-and-fault-enhancement

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 webinar web banner

Unsupervised Machine Learning Applied to Direct-P and Converted-P Data – a free webinar, 17/18 February 2021

Geophysical Insights
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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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Internal architecture of Permian Basin turbidites Thumbnail

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 Squared Thumbnail

A Tale of Two Reservoirs: How Machine Learning can Help Define “Sweet Spots” in Conventional and Unconventional Reservoirs

2020 Oil & Gas Machine Learning Symposium
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In the past, SOM has been used on only one attribute at a time using the seismic wavelet as the ...
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Wisting Case study Presentation Square Thumbnail

A multi-disciplinary approach to establish a workflow for the application of machine learning for detailed reservoir description – Wisting case study Presentation

2020 Oil & Gas Machine Learning Symposium
A multidisciplinary approach that is maximizing information extraction from seismic to predict lithofacies and reservoir properties, based on the following steps is presented: Multi-attribute ...
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Application of Unsupervised Machine Learning for 3D Seismic, Pliocene Turbidities, Offshore Nile Delta Squared Thumbnail

Application of Unsupervised Machine Learning for 3D Seismic, Pliocene Turbidities, Offshore Nile Delta

2020 Oil & Gas Machine Learning Symposium
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Application of the unsupervised Machine learning using SOM clearly demonstrate the strike and geomorphology of the Pliocene marine turbidities. The ...
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