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.
Tags
Amplitude AOGR attenuation Austin Chalk Average Energy AVO below tuning big data DHIs Direct Hydrocarbon Indicators Eagle Ford Envelope faults flat spots GeoExpro geologic patterns geometric attributes Geophysical Insights geophysics Gulf of Mexico Iot machine learning multi-attribute analysis neural networks pattern recognition PCA principal component analysis seismic attributes seismic computing seismic interpretation Self-Organizing Map Self Organizing Maps SOM SOM analysis spectral decomp spectral decomposition sub-seismic Sweetness thin beds tight carbonate reservoirs unconventional unconventionals unsupervised neural networks well calibration workflow