Watch videos of Presentations from SEG 2017
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
Seismic interpretation and machine learning by Rocky Roden and Deborah Sacrey, GeoExPro, December 2016


Interpretation, Attributes and Machine Learning

seismic interpretation using machine learning

Paradise Essentials

Next Course Date: October 18 - 19, 2017
Instructor(s): Blaine Taylor & Gary Jones
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. 

Seismic interpretation software with well logs

Interpretation Workshop

Next Course Date: December 6-7, 2017
Instructor(s): Deborah Sacrey, Auburn Energy
Cost: $1,500

The Interpretation Workshop aims to equip geoscientists to interpret in Paradise using multi-attribute analysis by focusing on at least two projects in different geologic settings.  The course will highlight the importance of using multiple attributes to extract more information from the seismic response. 

Course objectives and topics to be covered:

  • Demonstrate the capabilities of Paradise vs. traditional interpretation tools.  
  • Instruct in the applications of Paradise in different geologic settings.
  • Learn the details of interpreting in Paradise
  • Work in 2D and 1D Colorbars
  • Export to an interpretation package - Kingdom and Petrel
  • Export a neural masks