Mitglied werden

DGMK-Veranstaltung / Aufsuchung und Gewinnung

DGMK/DGG Short Course: Machine Learning for Exploration Geophysics

Datum
10.‑12.​03.​2020
Veranstaltungsort
SiH Seminarraum Hamburg
Adresse
Mexikoring 15, 22297 Hamburg
Info
The course language is English

About the Course

Machine learning has become the main driver of numerous innovative applications: from automated driving and medical devices to industrial automation and electronics. The course offers a comprehensive introduction to machine learning techniques and illustrates the application of machine learning to modern geophysical problems. The goal of the course is to provide trainees with a fundamental understanding of machine learning algorithms sufficient to apply them to solve problems. 
Topics cover supervised learning (linear regression, logistic regression, support vector machine), neural networks (DNN, CNN, RNN, GAN) and unsupervised learning (clustering, principal component analysis, anomaly detection). The course will also draw from numerous case studies and applications so that trainees will also learn how to apply machine learning algorithms. 
Although machine learning typically requires HPC resources and advanced programming skills, the course is designed in such a way that trainees only need the basic programming skills in MATLAB or Python.

This course is supported by:

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.

Accommodation

Please book your accommodation by yourself. There is a contingent of reserved rooms at the
Holiday Inn Hamburg - City Nord, Kapstadtring 2a, 22297 Hamburg.
Standard Single room incl. breakfast:  120,- € per night/room

In order to book your room please send an e-mail to reservierung@hi-city-nord.de and mention the booking code "DGMK".

Course Fees

  • for Individual Members of DGMK, DGG
University
238 €
Industry
668 €
  • for Non-Members
University
338 €
Industry
968 €

Registration Information

Please use the registration form below for your binding registration and you will receive an invoice for the course fee after registration. If you cancel your registration by January 20, 2020, DGMK will refund any fees already paid minus a processing fee of EUR 30.-. After January 20, 2020, the full course fee must be invoiced.

Coffee, tea, pastries and lunch are included in the course fee for all course days.

Computers will be provided on-site.

Registration

Bitte füllen Sie alle Pflichtfelder aus
Street, number, zip code, city, country
(if different)
If you aren't able to bring your own computer we will provide one for you.
If a certain order number or cost centre has to appear on the invoice or other special features have to be considered, please inform us in advance via this text field.
DGMK verarbeitet Ihre Daten vertraulich entsprechend unserer Datenschutzerklärung.
(*) Bitte füllen sie die Pflichtfelder aus.
Veranstaltungs­koordinator

Dr. Dominik Soyk

Leiter der Abteilung Aufsuchung und Gewinnung

Ines Musekamp

Koordination Aufsuchung und Gewinnung