Presentation

What Interpreters Should Know About Machine Learning

What Interpreters Should Know About Machine Learning

Geophysical Insights
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By Rocky Roden | May 2020 Introduction to Machine Learning for Interpreters ● Why Machine Learning now? ● Address terminology ...
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Holy Grail Slideshow Title Card

The Holy Grail of Machine Learning in Seismic Interpretation

Geophysical Society of Houston (GSH)
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Dr. Tom Smith shares the "Holy Grail" of Machine Learning in Seismic Interpretation with the Geophysical Society of Houston ...
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Title slide for geobodies in paradise

Geobodies in Paradise: a Machine Learning Application

Geophysical Insights
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Dr. Tom Smith presents "Geobodies in Paradise: a Machine Learning Application" at the 2018 SEG Convention in Anaheim, California. Dr ...
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Making Sense of Machine Learning

Geophysical Insights
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Machine Learning is revolutionizing geoscience and the Oil and Gas industry. As an interpreter, Rocky Roden, explores how machine learning ...
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Comparison of Seismic Amplitude to SOM Classification

Geophysical Insights
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Compare traditional seismic interpretation results with SOM (Self-Organizing Maps) classification achieved with machine learning in Paradise software ...
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Title slide for Marfurt presentation

Attribute Selection: Machine Learning vs. Interactive Interpretation

Geophysical Insights
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Dr. Kurt Marfurt, Principal Investigator at the AASPI Consortium at the University of Oklahoma, shares insights on "Attribute Selection: Machine ...
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Title slide on the next advancement in seismic interpretation

The Next Advancement in Seismic Interpretation

Geophysical Insights
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Rocky Roden presents “The Next Advancement in Seismic Interpretation: Seismic Attributes and Machine Learning” at the 2015 SEG Annual Meeting.  ...
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