Acoustic and Elastic Full Waveform Tomography
A. Kurzmann (),
S. Butzer,
S. Jetschny,
A. Przebindowska,
L. Groos,
M. Schäfer,
S. Heider and
T. Bohlen
Additional contact information
A. Kurzmann: Karlsruhe Institute of Technology
S. Butzer: Karlsruhe Institute of Technology
S. Jetschny: Petroleum Geo-Services ASA
A. Przebindowska: Baker Hughes INTEQ GmbH
L. Groos: Karlsruhe Institute of Technology
M. Schäfer: Karlsruhe Institute of Technology
S. Heider: Karlsruhe Institute of Technology
T. Bohlen: Karlsruhe Institute of Technology
A chapter in High Performance Computing in Science and Engineering ‘13, 2013, pp 105-122 from Springer
Abstract:
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.
Keywords: Velocity Model; Domain Decomposition; Forward Modeling; Message Passing Interface; Seismic Modeling (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations:
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-02165-2_9
Ordering information: This item can be ordered from
http://www.springer.com/9783319021652
DOI: 10.1007/978-3-319-02165-2_9
Access Statistics for this chapter
More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().