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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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Thumbnail of rocky roden paper

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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3-d machine learning seismic interpretation image

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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Geobody Interpretation Through Multi-Attribute Surveys, Natural Clusters and Machine Learning

Geobody Interpretation Through Multi-Attribute Surveys, Natural Clusters and Machine Learning

Geophysical Insights
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This paper sets out a unified mathematical framework for the process from seismic samples to geobodies ...
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Image of conventional stacked seismic amplitudes

Interpretation of DHI Characteristics with Machine Learning

First Break
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Applying Self-Organizing Maps (SOM) and Principal Component Analysis (PCA) in sub-seismic resolution to reveal facies and shale ...
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Seismic Interpretation with Machine Learning

Seismic Interpretation with Machine Learning

GeoExpro
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Today’s seismic interpreters must deal with enormous amounts of information, or ‘Big Data’, including seismic gathers, regional 3D surveys with ...
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Seismic Computing - Advances Opening New Possibilities

Seismic Computing – Advances Opening New Possibilities

American Oil and Gas Reporter (AOGR)
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Permanent sensors both on land and on the seafloor are collecting a new stream of seismic data that can be ...
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BEG Line 53 Full Classification - Copy

Self-Organizing Neural Nets for Automatic Anomaly Identification

Geophysical Insights
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Self-organizing maps are a type of unsupervised neural network which fit themselves to the pattern of information in multi-dimensional data ...
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