Deborah Sacrey, Owner and Geophysicist of Auburn Energy, provides a review of the various attribute categories and their possible machine learning application to solve problems in seismic interpretation.
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3-D analysis Amplitude AOGR Austin Chalk Average Energy AVO below tuning big data blog CNN convolutional neural networks deep learning DHIs Direct Hydrocarbon Indicators EAGE Eagle Ford Envelope fault detection Geophysical Insights Geophysical Society of Houston Gulf of Mexico machine learning multi-attribute analysis multiattribute neural networks PCA principal component analysis seismic attributes Seismic Data seismic facies classification seismic interpretation Self-Organizing Map Self Organizing Maps SOM SOM analysis spectral decomp spectral decomposition sub-seismic supervised neural networks thin beds tight carbonate reservoirs unsupervised neural networks Webinar well calibration workflow