Geophysical Insights hosting the 2018 OIl & Gas Machine Learning Symposium in Houston on September 27, 2018
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

A recent article by AOGR underscores the need for predictive analytics to efficiently search for the diffraction energy and separate it from the higher (specular) energy reflection eventMachine learning provides an approach to this challenge by enabling automatic classification and separation of wavefield patterns associated with different subsurface shale features (faults, fractures and continuous events) and even different styles of noise (e.g., ambient noise, acquisition footprint, etc.). Referencing the broad potential of by machine learning methods in general, Dr. Tom Smith, President of Geophysical Insights, offers this vision: 

"Going forward, we should be able to query our seismic data for information with learning machines, just as effortlessly and with as much reliability as we query the web for the nearest gas station." 

The core of the Paradise workbench is machine learning technology, built specifically for seismic interpretation.  With the above vision as the guiding principal, Paradise enables interpreters to generate and analyze multiple seismic attributes simultaneously.  Through Principal Component Analysis (PCA), interpreters can identify the attributes which contribute the most to the data volumes.  Using those attributes, unsupervised neural networks learn, then classify the data based on a defined topology, or specific number of neurons, in the Self-Organizing Map (SOM) process. Using the results, interpreters can: 

  • Highlight changes in pore pressure related facies
  • Reveal geologic and stratigraphic features
  • Visualize thin beds and facies below seismic resolution
  • Identify thin beds below traditional seismic resolution
  • Discriminate DHIs in conventional resources
  • Locate fracture trends and sweet spots in shale plays

To schedule a brief tour of Paradise or to a obtain a free 60-day evaluation, please complete the form below and one of our team will reach out to you. 

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