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SoSe 19: Inverse problems and machine learning for exploration geophysics / Inverse Probleme und maschinelles Lernen für die Exploration Geophysik

Ivan Abakumov

Hinweise für Studierende

StudO 2017 Modul MSc-GP012 "Spezielle Themen der Geophysik II" /StudO 2012 MSc Modul GP011: "Spezielle Themen der Geophysik" : V (2 SWS) + Ü (2 SWS) = 6 LP) /Modul D013: Spezielle Themen der Geophysik (STO 2009) Schließen

Zusätzl. Angaben / Voraussetzungen

This course addresses students majoring in Geophysics or interested students from related disciplines like e.g. Physics, Geology, or Meteorology, who should bring basic mathematical and physical understanding. Prerequisites: basic knowledge of MATLAB programming. Please contact Dr. Abakumov in advance: abakumov@zedat.fu-berlin.de Schließen

Kommentar

This course provides a broad introduction to inverse problems and machine learning and demonstrates application of these techniques to modern geophysical problems. Topics include: (i) Tomography (ii) Bayesian inversion (iii) Full waveform inversion (iv) Supervised and unsupervised machine learning. The goal of the course is to highlight similarities between these methods. The course will also draw from numerous case studies and applications, so that you'll also learn how to apply inversion and machine learning algorithms. Most of case studies will be performed at PCs. Modulprüfung: Bericht (ca. 4 000 Wörter) Schließen

Literaturhinweise

Suggested reading Schuster, G. T. (2017) Seismic inversion. Society of Exploration Geophysicists Ng, A. (2018). Machine learning yearning. URL: http://www.mlyearning.org/