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DGMK-Veranstaltung / Aufsuchung und Gewinnung

DGMK/DGG Short Course: Machine Learning for Exploration Geophysics

The course language is English

Introduction to essential ML libraries, data visulization tools & cloud services.

Course contents:
• Introduction to machine learning techniques
• Application of machine learning to modern geophysical problems
• Supervised learning
• Deep neural networks
• Unsupervised learning
• Case studies

About the Lecturer

Ivan Abakumov received his Bachelor's (2009) and Master's (2012) degrees in Physics from St. Petersburg State University. While studying, Ivan was working as a teacher of computer science in high school and conducted advanced mathematics courses for high school graduates. After receiving his Master's degree, Ivan completed internships in Microseismik s.r.o. (Czech Republic) and Shell (The Netherlands). From 2012 till 2015, Ivan participated with Shell in a research project aimed at characterizing of velocity anomalies in time-lapse seismic. From late 2013, Ivan worked on a PhD thesis related to multidimensional stacking and CRS in the University of Hamburg, Germany. Ivan has worked for short-term research projects in Trofimuk Institute of Petroleum Geology and Geophysics (Novosibirsk, Russia) and in the Norwegian University of Science and Technology (Trondheim, Norway). After receiving his PhD, Ivan has worked as a research scientist at Freie Universität Berlin since September 2017. He is currently working on microseismic data inversion. Ivan is also interested in development and collection of open-source seismic software.

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Koordination Aufsuchung und Gewinnung