Resource Library
Unsupervised machine learning for time-lapse seismic studies and reservoir monitoring
Interpretation Journal
Time-lapse seismic monitoring is an important tool in reservoir management and successful drilling planning ...
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Advanced Trends in Machine Learning for Seismic Fault Delineation
E&P Magazine
Over the last few years, there has been an increase in the application of machine learning, a type of artificial ...
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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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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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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 2021 Abstract Subtle fault ...
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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, presented at the AAPG Pivoting 2021: Learning from Other Industries - Geothermal, Machine Learning, ...
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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 The theme ...
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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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