Data Analytics, Machine Learning & Artificial Intelligence > Practical Machine Learning Methods in Geoscience - Virtual Instructor Led Training (VILT)
Code Date Venue Early Bird Fee Fee
PE1613 03 - 07 Oct 2022 Virtual Instructor Led Training (VILT) USD 3,199 USD 3,499 Remind me of Course Dates

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Code

PE1613

Date

03 - 07 Oct 2022

Venue

Virtual Instructor Led Training (VILT)

Early Bird Fee

USD 3,199

Fee

USD 3,499

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).

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.

Learn what past participants have said about PetroEdge 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