Explorer Geophysical Corner
By Carolina Crovetto,Fabián Scazziota,Juan Moirano,Kurt Marfurt,Luis Vernengo,Ritesh Sharma,Satinder Chopra
With the increasing size of the seismic data volumes, machine learning applications have been found to accelerate the discrimination of seismic facies used in the identification of geologic patterns, defining stratigraphy and the direct indication of hydrocarbons. Many practitioners have demonstrated the application of dimensionality reduction tools such as principal component analysis and independent component analysis, or clustering techniques. Some of these are available in several commercial interpretation software packages.