Jaap Mondt (1947) obtained his bachelors in Geology at the State University of Leiden after which he went to Utrecht to study Theoretical Geophysics. His PhD dealt with the determination of the Core-Mantle transition analysing P and S waves diffracted around the liquid outer core. Subsequently he joined Shell Rijswijk in 1977 to do research in Quantitative Interpretation based on seismic, petrophysical and geological data. After a posting in Londen where he worked on the interpretation of data of the North Sea Central Graben, he returned to Rijswijk to head a Quantitative Interpretation Team, developing 3D Interpretation Workstation methods.
This was followed by an assignment to supervise Contractor Seismic Processing: software as well as actual projects. The next job was Course Director Geophysics in the Shell Learning Centre. At the same time he was for 5 years part-time Professor in Applied Geophysics at the University Utrecht in The Netherlands. After 4 years he went back to Rijswijk to work on applying Potential Field methods (Gravity, Magnetics and Electromagnetics). Finally, until his retirement he worked in Research on Electromagnetic methods (Controlled Source EM and Magneto-Tellurics).
Trainer in courses:
A Gentle Introduction to EM for Geophysical Applications
A Gentle Introduction to EM for Geophysics
Advanced Seismic Data Acquisition & Processing
Advanced Seismic Data Acquisition and Processing
Advanced Velocity Modelling
Basic Geophysical Data Acquisition and Processing
Basic Geophysics
Facies prediction along the wellbore using Machine Learning
Facies prediction using Machine Learning
Geophysical Data Acquisition & Processing
Geophysics for CO2 monitoring
Geophysics for Geothermal Energy
Gravity & Magnetic Data Acquisition, Processing, and Interpretation
Gravity & Magnetic Data Acquisition, Processing, and Interpretation
Introduction to Machine learning (ML) for Geophysics
Magneto-Telluric methods
Non-Seismic Data Acquisition and Processing
Non-Seismic Data Acquisition and Processing
Quantitative Reservoir Characterization
Quantitative Reservoir Characterization
Quantitative Seismic Interpretation
Seismic Fracture Detection
Seismic Fundamentals for Non-Geophysicists
Machine learning for Geophysical Applications
AI: Deep Learning for Geophysical Applications
Geophysics for Data Scientists