preloader

Multi-Physics (GEO 135)

COURSE SCHEDULE

Code Date Location price (€)*
GEO 135 22 - 26 Jun 2026 Online 3300
GEO 135 9 - 13 Nov 2026 Online 3300
GEO 135 6 - 10 Apr 2026 Trondheim 4400
GEO 135 21 - 25 Sep 2026 Muscat 4400

COURSE OVERVIEW

Without any doubt, seismic is the main method used in the energy industry, but non-seismic methods (gravity, magnetics, electrical, electromagnetics) play an important role in not only the early basin reconnaissance, but also in bringing additional independent subsurface information for improved velocity modelbuilding and advanced imaging. This in addition to its important role in shallow subsurface investigations. Use of Machine Learning applications will be an important part of the course. Exercises and quizzes will enhance the learning.

COURSE OUTLINE

5 days
Day 1:

o Geophysical methods

o Gravity field of the Earth

o Applying Corrections/Reductions

o Modelling gravity for specific models

o Depth determination

Day 2:

o Magnetics

o Magnetic field of the Earth

o Paleo-magnetism

o Magnetic Inversion

o Magnetic Basement

Day 3:

o E & EM Refraction

o Controlled Source EM

o Resistivity Profiles

o Effective Resistivity

o TDEM, FDEM

Day 4:

o Skin-depth & Velocity

o Machine learning

o ML NN Rock Classification

o ML for very limited datasets

Day 5:

o Time Lapse Gravity

o Time Lapse Electrical

o ML Rock Regression

o Joint Inversion

o Use of ChatGPT

INSTRUCTOR

Instructor Profile

Instructor has a PhD from Utrecht University on “Full wave theory and the structure of the lower mantle” and joined Shell Research to develop methods to predict lithology and pore-fluid based on seismic, petrophysical and geological data. Subsequently worked for Shell in London to interpret seismic data from the Central North Sea Graben.

As part of a Quantitative Interpretation assignment, he was actively involved in managing, processing and interpreting Well Seismic Profiling data, while heading a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis. Subsequently he was responsible for Geophysics in the Shell Learning Centre and at the same time part-time professor in Applied Geophysics at the University of Utrecht. From 2001 till 2005 he worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. From 2008 til 2013 he was visiting professor at the German Technical University in Muscat. Finally, he became a champion on the use of EM methods and involved in designing acquisition, processing and interpretation for Marine Controlled Source EM (CSEM) methods.

FAQ

DESIGNED FOR

The course is designed for geoscientists active in promoting and designing supportive non-seismic data acquisition and the integration with seismic data using joint inversion methods.

LEARNING OBJECTIVES

The course's primary learning objectives are: 

o The Gravity & Magnetic acquisition, processing and interpretation

o Electrical & Electromagnetic land and marine surveys

o Induced Polarization

o Joint inversion of multi-scale data

o Use of Machine Learning in the applications

REGISTER

Registration is now OPEN!

Ph.D. students, group and early bird registrants are eligible to DISCOUNT!

For more details and registration please send email to: register@petro-teach.com

REQUEST IN HOUSE

Would you like a PetroTeach training course delivered at a time or location to suit you? 

click for request in house

Shopping cart
We use cookies to improve your experience on our website. By browsing this website, you agree to our use of cookies.
Start typing to see products you are looking for.