Self-Organizing Map

SOM results defining hydrocarbon contacts

Seismic Interpretation with Machine Learning

GeoExpro
/ and
Today’s seismic interpreters must deal with enormous amounts of information, or ‘Big Data’, including seismic gathers, regional 3D surveys with ...
Read More
seismic interpretation in the eagle ford, part 2 -01

Detailed Sub-Seismic Resolution in the Eagle Ford Shale and Identification of Under-Explored Geobodies, Part 2

Geophysical Insights
/
Results of a Self-Organizing Map (SOM) of many instantaneous attributes to reveal different types of facies and shale that apply ...
Read More
Water Oil Contact - Conventional Multi-Attribute Analysis

Approach Aids Multiattribute Analysis

American Oil and Gas Reporter (AOGR)
/ and
Seismic attributes help identify numerous geologic features in conventional seismic data. Applying principal component analysis can help interpreters identify seismic ...
Read More
Time slice

Seismic Attribute Analysis Can Benefit From Unsupervised Neural Network

Offshore Magazine
/ and
Process identifies anomalies from original data without bias using Unsupervised Neural Networks in Greenfield Exploration ...
Read More
  • Registration confirmation will be emailed to you.

  • We're committed to your privacy. Geophysical Insights uses the information you provide to us to contact you about our relevant content, events, and products. You may unsubscribe from these communications at any time. For more information, check out our Privacy Policy

    Scroll to Top