Resource Library

Som Results B.2

Geologic Pattern Recognition from Seismic Attributes: Principal Component Analysis and Self-Organizing Maps

Interpretation Journal
/ , and
Analyzing seismic data through geologic pattern recognition methods like Self-Organizing Maps (SOM) and Principal Component Analysis (PCA) in Paradise machine ...
Read More
2D Colormaps

Distillation of Seismic Attributes to Geologic Significance

Offshore Technology Conference
/
Seismic attributes identify many geologic features in seismic data where PCA helps identify optimal attributes and help determine which attributes ...
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
Advantages of Machine Learning with Multi Attribute Seismic Surveys Thumbnail-01

Advantages of Machine Learning with Multi-Attribute Seismic Surveys

Geophysical Insights
/
Dr. Tom Smith explains the advantages of using machine learning to analyze multiple attributes of seismic surveys simultaneously, including specific ...
Read More
Image with text for solving interpretation problems using machine learning on multi-attribute, sample-based seismic data

Solving Interpretation Problems using Machine Learning on Multi-Attribute, Sample-Based Seismic Data

Geophysical Insights
/
Deborah Sacrey, Owner and Geophysicist of Auburn Energy, provides a review of the various attribute categories and their possible machine ...
Read More
Seismic Interpretation Below Tuning with Multiattribute Analysis figure 10

Seismic Interpretation Below Tuning with Multi-attribute Analysis

The Leading Edge
Seismic interpretation of thin beds below tuning has always been a challenge in the oil and gas industry. A multi-attribute ...
Read More
Screenshot of interpreting below video beginning

Seismic Interpretation Below Tuning with Multi-Attribute Analysis

Geophysical Insights
/
This international webinar describes how multi-attribute seismic analysis is applied using the Paradise software to visualize thin beds and facies ...
Read More
SOM

Introduction to Self-Organizing Maps in Multi-Attribute Seismic Data

Geophysical Society of Houston (GSH)
/ and
Unsupervised neural network searches multi-dimensional data for natural clusters. Neurons are attracted to areas of higher information density. The SOM ...
Read More
systematic workflow for reservoir thumbnail

Systematic Workflow for Reservoir Characterization in Northwestern Colombia using Multi-attribute Classification

First Break
/ and
A workflow is presented which includes data conditioning, finding the best combination of attributes for ML classification aided by Principal ...
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