Acoustic and Elastic Full Waveform Tomography

  • A. Kurzmann
  • S. Butzer
  • S. Jetschny
  • A. Przebindowska
  • L. Groos
  • M. Schäfer
  • S. Heider
  • T. Bohlen
Conference paper

Abstract

For a better estimation of subsurface parameters we develop imaging methods that can exploit the richness of full seismic waveforms. Full waveform tomography (FWT) is a powerful imaging method and emerges as an important procedure in hydrocarbon exploration and underground construction. It is able to recover high-resolution subsurface images from recorded seismic data. In this work, we demonstrate the performance of our parallel time-domain implementations applied to 2D and 3D problems. The results of synthetic feasibility studies—representing applications with a realistic background—illustrate the ability of FWT to reconstruct structures at small scale lengths. We also show first results of an FWT application to real seismic data recorded by a marine survey. Optimal parallelization strategies, such as domain decomposition and shot parallelization, are used in seismic modeling to exploit the possibilities of the high-performance computer HERMIT and to allow efficient FWT computations. FWT implementations show a convincing scaling behaviour. However, a competing benchmark of seismic modeling exhibits some performance drawbacks. Further software improvements of the modeling implementations might be necessary.

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Copyright information

© Springer International Publishing Switzerland 2013

Authors and Affiliations

  • A. Kurzmann
    • 1
  • S. Butzer
    • 1
  • S. Jetschny
    • 2
  • A. Przebindowska
    • 3
  • L. Groos
    • 1
  • M. Schäfer
    • 1
  • S. Heider
    • 1
  • T. Bohlen
    • 1
  1. 1.Karlsruhe Institute of TechnologyKarlsruheGermany
  2. 2.Petroleum Geo-Services ASAOsloNorway
  3. 3.Baker Hughes INTEQ GmbHCelleGermany

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