admin
Biography Jaap C. Mondt He obtained a Bachelorâs degree in Geology (University of Leiden), a Masterâs degree in Theoretical Geophysics (University of Utrecht) and a PhD in Utrecht on âFull wave theory and the structure of the lower mantleâ. This involved forward modelling of P- and S-waves diffracted around the core-mantle boundary and comparison of the frequency-dependent attenuation of the signal with those obtained from major earthquakes observed at long offsets in the âshadow zoneâ of the core. These observations were then translated into rock properties of the Dâ transition zone. After his PhD he joined Shell Research in The Netherlands 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 the Quantitative Interpretation assignment, he was also actively involved in managing, processing and interpreting Offshore Seismic Profiling experiments. After his return to The Netherlands headed a team for the development of 3D interpretation methods using multi-attribute statistical and pattern recognition analysis on workstations. After a period of Quality Assurance of âContractorâ software for seismic processing, he became responsible for Geophysics in the Shell Learning Centre. During that time, he was also part-time professor in Applied Geophysics at the University of Utrecht. From 2008 till 2013 he was visiting professor at the German Technical University in Muscat, teaching Applied Geophysics at Bachelors and Masters level. From 2001 till 2005 worked on the development of Potential Field Methods (Gravity, Magnetics) for detecting oil and gas. Finally, became a champion on the use of EM methods and became involved in designing acquisition, processing and interpretation methods for Marine Controlled Source EM (CSEM) methods. After retirement from Shell, he founded his own company (Breakaway), specialised in courses on acquisition, processing and interpretation of geophysical data (seismic, gravity, magnetic and electromagnetic data), providing courses to International and National energy companies. In the last couple of years, he became keenly interested in the use of Machine Learning in Geophysics. Apart from incorporating âArtificial Intelligenceâ in courses, also dedicated Machine Learning courses for geophysics were developed.
