Dr. Tom Smith presenting on Machine Learning at the 3D Seismic Symposium on March 6th in Denver
What is the "holy grail" of Machine Learning in seismic interpretation? by Dr. Tom Smith, GSH Luncheon 2018
Using Attributes to Interpret the Environment of Deposition - A Video Course. Taught by Kurt Marfurt, Rocky Roden, and ChingWen Chen
Dr. Kurt Marfurt and Dr. Tom Smith featured in the July edition of AOGR on Machine Learning and Multi-Attribute Analysis
Rocky Roden and Ching Wen Chen in May edition of First Break - Interpretation of DHI Characteristics using Machine Learning
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Paradise Essentials

Date: November 28-29, 2017
Location: Houston, TX
Time: 8:00 am - 4:30 pm
Cost: $1,500

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. 

To register for Paradise Essentials, please complete the checkout process below.  Upon completion, you will receive a payment confirmation and course details via email.

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.

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.

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