Scales of Reservoir Heterogeneities and Impact of Seismic Resolution on Geostatistical Integration |
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| Authors: | Tapan Mukerji Gary Mavko and Philippe Rio |
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| Institution: | (1) Stanford Rock Physics Laboratory, Dept. of Geophysics, Stanford University, Stanford, California, 94305;(2) ELF-Aquitane, CSTJF., Ave. Larribau, 64018 Pau Cedex, France |
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| Abstract: | Seismic measurements may be used in geostatistical techniques for estimation and simulation of petrophysical properties such as porosity. The good correlation between seismic and rock properties provides a basis for these techniques. Seismic data have a wide spatial coverage not available in log or core data. However, each seismic measurement has a characteristic response function determined by the source-receiver geometry and signal bandwidth. The image response of the seismic measurement gives a filtered version of the true velocity image. Therefore the seismic image cannot reflect exactly the true seismic velocity at all scales of spatial heterogeneities present in the Earth. The seismic response function can be approximated conveniently in the spatial spectral domain using the Born approximation. How the seismic image response affects the estimation of variogram. and spatial scales and its impact on geostatistical results is the focus of this paper. Limitations of view angles and signal bandwidth not only smooth the seismic image, increasing the variogram range, but also can introduce anisotropic spatial structures into the image. The seismic data are enhanced by better characterizing and quantifying these attributes. As an exercise, examples of seismically assisted cokriging and cosimulation of porosity between wells are presented. |
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| Keywords: | seismic image response Born approximation spectral filtering |
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