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A supervised machine learning approach to discriminate reservoir fluid presence and saturation in the Gulf of Mexico using frequency and spectral shape attributes
(2023-05-13)
The first chapter in this research aims to define reliable attributes to differentiate subsurface
fluids and measure their attenuation to provide insights into reservoir properties. The study
investigates the effects ...
Seismic attribute optimization with unsupervised machine learning techniques for deepwater seismic facies interpretation: users vs machines
(2020-07)
Machine learning (ML) has many applications within the geosciences, from predicting seismic facies, to automatic fault detection. A variety of machine learning algorithms are commonly employed, among these principal component ...