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.

From Insights to Foresights

From Insights to Foresights

Risks and rewards are evenly poised in the hydrocarbons industry, and along with oil and gas companies, probably no one understands the nuances better than Tom Smith, founder and president of Geophysical Insights.

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More information about machine learning
More information about Paradise
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Identifying DHIs using SOM
Identifying thin beds / interpreting below tuning
Identifying geobodies using SOM
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