Machine Learning Revolutionizing Seismic Interpretation

Machine Learning Revolutionizing Seismic Interpretation

Machine Learning for Seismic Interpretation driven by the nature of the technical and business demands facing geoscientists as oil and gas activity is advancing a new phase of unconventional reservoir development in an economic environment that rewards efficiency and risk mitigation.

Approach Aids Multiattribute Analysis

Approach Aids Multiattribute Analysis

How Self-Orgazining Maps (SOM) and Principal Componenrt Analysis (PCA) greatly enhances the interpretation process to identify geology in diffferent settings. Geophysicists interpret multiple attributes of seismic data using principal component analysis and self-organizing maps of machine learning.