Machine Learning Essentials for Seismic Interpretation | Geophysical Society of Houston (GSH) Webinar

Dr Tom Smith
Dr. Tom Smith

President & CEO
Geophysical Insights

30 October 2018
A Live Webinar featuring, Dr. Tom Smith, President & CEO, Geophysical Insights
Duration/Format: 

4 half-day interactive webinar sessions, Oct 30 to Nov 2, 10:00 am to 2:00 pm Central Time (Houston, USA) This webinar will discuss the following:

  • What is machine learning and how does it apply to seismic exploration  and unconventional resource development?
  • What is the difference between supervised and unsupervised machine learning?
  • When is an analysis statistical and when is it machine learning?
  • What is attribute space and what is the mathematical foundation of this technology?
  • How do you know if the results are any good?
  • What are some case histories that illustrate machine learning principals?
  • What are some practical tips?
  • Each of these topics will include one or more examples and simple  exercises to illustrate a principal where appropriate.

For more information regarding this webinar, please visit: Machine Learning Essentials for Seismic Interpretation

Each of these topics will include one or more examples and simple exercises to illustrate a principal where appropriate.

Operation

  • Supervised and Unsupervised Learning
  • MLP; CNN; FCN; k-means; SOM
  • Attribute space
  • Classificatiom

Practice

  • Geobodies
  • Geobody Classification
  • Below-Tuning
  • Fluid Contacts
  • Geobody Seismic Facies
  • Making Predictions

Foundation

  • Seismic Processing for Machine Learning
  • Attribute Selection List
  • Objectives
  • Principal Component Analysis

Prediction

  • The Best Well
  • The Best Seismic Processing
  • Over-Fitting
  • Cross-Validation
  • Who Makes the Best Predictions?
  • Registration confirmation will be emailed to you.

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