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Random-shot full-waveform inversion of shallow seismic surface waves = Zufallsschuss volle Wellenforminversion von flachseismischen Oberflächenwellen

Hoang, Duy Hoang

Abstract:

Seismic acquisitions in urban areas represent a challenge due to the noisy environment during the recording of the data. This often prevents obtaining high-resolution images of the subsurface in the area of interest. One way to achieve better results, despite the challenging circumstances, is full-waveform inversion (FWI). This method iteratively updates a starting model until the simulated data and the observed field data matches to a satisfactory level. This eventually yields the desired subsurface model. However, FWI comes with some major limitations. Because each iteration requires a calculation of the wave propagation several times for each shot, it is highly computationally expensive. Furthermore, due to storage limitations, especially if high performance computing (HPC) clusters are not available, the model size is restricted as well. This work aims to find a solution for these limitations in an elastic 2D case by implementing the random-shot workflow (RSW). In a conventional FWI workflow which is called full-shot workflow (FSW) in this work, each iteration uses all shots of the recorded data before updating the whole model at once which leads to the high computational and storage costs. ... mehr


Volltext §
DOI: 10.5445/IR/1000133106
Veröffentlicht am 19.05.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Geophysikalisches Institut (GPI)
Publikationstyp Hochschulschrift
Publikationsdatum 05.03.2021
Sprache Englisch
Identifikator KITopen-ID: 1000133106
Verlag Karlsruher Institut für Technologie (KIT)
Umfang XVII, 69 S.
Art der Arbeit Abschlussarbeit - Master
Prüfungsdaten 2021
Referent/Betreuer Pan, Yudi
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