Data Analytics, Machine Learning & Artificial Intelligence > Practical Machine Learning Methods in Geoscience - Virtual Instructor Led Training (VILT)

About this Virtual Instructor Led Training (VILT)

Machine Learning methods are making a dramatic improvement in analysing geoscience data, significantly decreasing the time and costs for processing and interpreting large volumes of geophysical and geological data. It also promises to combine a wide variety of data into a consistent and integrated interpretation. Machine Learning technology has moved beyond just hype but to become a reality.

Our 5 half-day Virtual Instructor Led Training (VILT) course introduces key concepts in Machine Learning (ML) and shows how they can be applied to geoscience data. Every method is accompanied by a hands-on ML lab. Chapters from the instructor’s new book Practical Machine Learning Methods in The Geosciences(Schuster, SEG Press 2022) will be used as the guide that provides both theory and examples of the different methods.

After the completion of this VILT course, participants will be able to:

  • Understand and describe the high-level concepts underlying neural networks, convolutional neural networks (CNN), support vector machines (SVI), clustering, Principal Component Analysis and Bayesian analysis
  • Execute the Colab and MATLAB programs applied to data examples
  • Adapt these methods to user-supplied problems
  • Understand the benefits and limits of these ML methods, and how to address their shortcomings with better training
  • Define tools for handling the uncertainty in results

This VILT course is suitable and will greatly benefit for the following specific groups:

  • Geophysicists
  • Geoscientists
  • Physicists
  • Production and processing engineers
  • Petrophysicists

The VILT course will be delivered online in 5 half-day sessions comprising 4 hours per day, with 2 breaks of 10 minutes per day.

Course Duration: 5 half-day sessions, 4 hours per session (20 hours in total).

To further optimise your learning experience from our courses, we also offer individualized “One to One” coaching support for 2 hours post training. We can help improve your competence in your chosen area of interest, based on your learning needs and available hours. This is a great opportunity to improve your capability and confidence in a particular area of expertise. It will be delivered over a secure video conference call by one of our senior trainers. They will work with you to create a tailor-made coaching program that will help you achieve your goals faster.
Request for further information about post training coaching support and fees applicable for this.

Learn what past participants have said about EnergyEdge training courses

A good overview of Machine Learning methods with sufficient depth to build a working understanding of the materials. The lectures and illustrations on K-Means were excellent.

Virtual Practical Machine Learning Methods in the Geosciences, SEC 2021

Great interaction with students and examples of theory application to common problems in geosciences

Virtual Practical Machine Learning Methods in the Geosciences, SEC 2021

Trainer is very knowledgeable and a gifted instructor. His topic is vital and made effective use of the Socratic method delivery of his course

Virtual Practical Machine Learning Methods in the Geosciences, SEC 2021