DGMK/GS SPE WebSeminar: How to start with Machine Learning

Abstract

Machine learning (ML) is a rapidly developing field. ML gained increased interest in exploration geophysics - both from academia and industry. There is no surprise that ML became one of the most in-demand skills needed by the job market.

Are you dreaming of applying ML techniques in your next project? Or are you planning for a career change? No doubt, mastering ML skills will help you take your career to the next level.

Attend this webseminar to learn how to start the journey into the field of machine learning. We will debate what you need to know in 2022 to become a machine learning professional, recommend materials, books, blogs, conferences & other resources to master your skills and advise on how to get help from the ML community. We will also reveal some secrets of the Machine Learning for Exploration Geophysics course - an intensive three-day training to master theoretical and practical ML skills on state-of-art geophysical problems.

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 and led advanced math classes for school graduates. After receiving a Master's degree, Ivan completed internships at Microseismik s.r.o. (Czech Republic) and Shell (The Netherlands). From 2012 till 2015, Ivan participated in a Shell-funded research project aimed at inverting velocity anomalies from time-lapse seismic data. Since late 2013, Ivan worked on a Ph.D. thesis at the University of Hamburg. His thesis covers the aspects of multidimensional stacking for seismic data quality enhancement. After earning his Ph.D. Ivan has worked on short-term research projects at the Trofimuk Institute of Petroleum Geology and Geophysics (Russia) and the Norwegian University of Science and Technology (Norway).

Since September 2017, Ivan has served as a research scientist at Freie Universität Berlin where he developed innovative approaches for microseismic data inversion. At that time Ivan was already highly interested in machine learning techniques and open-source ML software. Since 2019, Ivan offers courses on machine learning and deep learning for master students. Since 2020, Ivan leads a Data Science team in one of the tech companies in Berlin. Ivan actively reviews manuscripts for Geophysics and EAGE on the topics of machine learning and digitalization.

Registration

Registration is closed. Last minute registrations - please send an email to ines.musekamp@dgmk.de!