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).

Your expert course leader is currently an adjunct Professor of Geophysics at University of Utah and formerly a Professor of Geophysics at King Abdullah University Science and Technology (KAUST). He was the founder and director of the Utah Tomography and Modeling/Migration consortium from 1987 to 2009. He helped pioneer seismic interferometry and its practical applications in applied geophysics, through his active research program and through his extensive publications, including his book “Seismic Interferometry” (Cambridge Press, 2009). He also has extensive experience in developing innovative migration and inversion methods for both exploration and earthquake seismology.

He has an MS (1982) and a PhD (1984) from Columbia University and was a postdoctoral researcher there from 1984-1985. He received a number of teaching and research awards while at University of Utah. He was editor of Geophysics from 2004-2005 and was awarded SEG’s Virgil Kauffman gold medal in 2010 for his work in seismic interferometry. SEG published his book Seismic Inversion in late 2017 and is considering publishing his almost completed book Practical Machine Learning Methods in The Geosciences.

He has won Best Teaching award at his former university and was selected by the SEG as their Distinguished Lecturer for 2013. He was also the Distinguished Lecturer for the Society of Petroleum Engineers in 1998. His recent paper on machine learning was one of the top cited Geophysical Prospecting papers for 2021 and he is a keynote speaker at the SEG Data Analytics workshop in 2022.

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.