Geophysical Insights at EAGE 2017 in Paris, Booth #350
Rocky Roden and Ching Wen Chen in May edition of First Break - Interpretation of DHI Characteristics using Machine Learning
Deborah Sacrey wins the 2016 RMAG Best Speaker Award
Seismic interpretation and machine learning by Rocky Roden and Deborah Sacrey, GeoExPro, December 2016
Deborah Sacrey Speaking at the CAPA Technical Symposium, November 4, 2016

Become an expert in Paradise
 

 
 
 
 

Training: Paradise Essentials

This introductory two day course to Paradise enables geoscientists and engineers to use the major workflows and become acquainted with the basic capabilities of the multi-attribute analysis platform. Students will be trained in applying Principal Component Analysis (PCA) to a group of attributes to identify the most significant attributes in the set, then running, viewing and analyzing Self-Organizing Maps (SOMs) on selected attributes using different neural network configurations. 

Course Outline: Day 2

  • Show Paradise Workflow examples from successful interpretations.

  • Use our PCA and Database knowledge to Generate Self Organizing Maps.

  • Learn how to subset x,y,z data to constrain Interpretation volumes.

  • View Self Organizing Map and Export Classifications for usage in other systems.

Course Outline: Day 1

  • Discuss the basic mathematical history and creation of Seismic Attributes.
     
  • Discuss data quality control for seismic attributes.
     
  • Import and Generate Seismic attributes for use in the Course.
     
  • Run Several Principal Component Analyses to determine sensitivities to different attributes.

Training: Paradise Advanced

Coming soon!

 

Training: Attributes - Theory & Practice

Coming soon!