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The AAPG/Datapages Combined Publications Database
AAPG Bulletin
Abstract
AAPG Bulletin, V.
2010. The American Association of Petroleum Geologists. All rights reserved.
DOI:10.1306/08240909051
The use of spectral recomposition in tailored forward
seismic
modeling
of outcrop analogs
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Mark Tomasso,1 Renaud Bouroullec,2 David R. Pyles3
1Enhanced Oil Recovery Institute, University of Wyoming, 1000 E. University Ave., Department 4068, Laramie, Wyoming 82071; [email protected]
2Chevron Center for Research Excellence, Department of Geology and Geological Engineering, Colorado School of Mines, 1716 Illinois St., Golden, Colorado 80401
3Chevron Center for Research Excellence, Department of Geology and Geological Engineering, Colorado School of Mines, 1716 Illinois St., Golden, Colorado 80401
ABSTRACT
Spectral recomposition is an improved methodology for generating forward seismic
models of outcrop analogs that make use of the full range of frequencies found within real-world
seismic
volumes. It overcomes the issue common to conventional forward
seismic
models in which single-peak frequencies are modeled, with the resultant models not capturing the range of frequency content that is found in the real world image. This variable frequency content of real-world
seismic
volumes has long been known to contain more detailed information within different spectral bands, which forms the basis of the spectral decomposition process, in which different spectral frequencies can correlate to different stratigraphic thicknesses, for example.
In this article, we introduce and illustrate the use of a new method termed spectral recomposition. Spectral recomposition is a poststack seismic
method operating in the frequency domain that recomposes forward
seismic
models generated at separate peak frequencies to derive a final image, which has a frequency spectrum similar to that of a targeted real-world image. Using this method, forward
seismic
models can be tailored to specific real-world images and be used as a more appropriate comparison between the known outcrop geometries and those that are imaged in the subsurface.
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