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Dr. Tom Smith, President and CEO of Geophysical Insights, shares his predictions on the evolution of digital transformation in oil ...
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Machine learning is enabling a new world of seismic interpretation as oil and gas activity pivots toward a new phase ...
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Distributed acoustic sensors (DAS) record continuous seismic data very cheaply, taking another quantum step in the amount of data coming ...
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Seismic attributes help identify numerous geologic features in conventional seismic data. Applying principal component analysis can help interpreters identify seismic ...
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Dr. Thomas A. Smith founded Seismic Micro-Technology (SMT) in 1984 and led the development of the widely adopted Kingdom Suite ...
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Utilizing machine learning via Self-Organizing Maps (SOM) and Principal Component Analysis (PCA) interpretation techniques to help identify sweet spots ...
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Geophysical Insights’ Paradise™ analytic software platform applies automated pattern recognition to analyze seismic attributes in almost infinite combinations to delineate ...
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Risks and rewards are evenly poised in the hydrocarbons industry, and along with oil and gas companies, probably no one ...
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New technology for the Big Data problem of the seismic volume using Unsupervised Neural Networks for the interpretation of Greenfield ...
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