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Solving Exploration Problems with Machine Learning featured-image

Solving Exploration Problems with Machine Learning

First Break
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Geoscientists Deborah Sacrey and Rocky Roden solve exploration problems using Paradise, machine learning software for seismic interpretation in the June ...
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Machine Learning Terms

Geophysical Insights
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A glossary defining essential machine learning terms within the seismic interpretation and geoscience community from Principal Component Analysis (PCA) to ...
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Thin Beds and Anomaly Resolution in the Niobrara

Thin Beds and Anomaly Resolution in the Niobrara

Geophysical Insights
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Using machine learning to classify a 100-square-mile seismic volume in the Niobrara, geoscientists were able to interpret thin beds below ...
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Oil & Gas Big Data

What is Big Data?

Geophysical Insights
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Let’s talk for a minute about the concepts of Big Data. Remember a few years ago, if you wanted to ...
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What is Machine Learning?

What is Machine Learning?

Geophysical Insights
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If you’re new to Machine Learning, let’s start at the top. The whole field of artificial intelligence is broken up ...
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Seismic Attribute Essentials classifying seisimic attributes using machine learning SOM classification

Attribute Essentials: Categories of Attributes

Geophysical Insights
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A review of the various attribute categories and their possible application ...
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Significant Advancements in Seismic Reservoir Characterization with Machine Learning

SPE Norway
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The application of machine learning to classify seismic attributes at single sample resolution is producing results that reveal more reservoir ...
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Seismic Interpretation of DHI Characteristics with Machine Learning

Geophysical Insights
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The accurate interpretation of DHI characteristics has proven to significantly improve the success rates of drilling commercial wells. In this ...
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Machine Learning Revolutionizing Seismic Interpretation

American Oil and Gas Reporter (AOGR)
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Machine Learning for Seismic Interpretation driven by the nature of the technical and business demands facing geoscientists as oil and ...
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