Geostatistical Seismic Inversion Using Well Log Constraints
Name
1999.10 Kane et al.pdf
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Author(s)
Kane, Jonathan
Rodi, William
Herrmann, Felix
Toksoz, M. Nafi
Date Issued
1999
Publisher
Massachusetts Institute of Technology. Earth Resources Laboratory
Series/Report no.
Earth Resources Laboratory Industry Consortia Annual Report;1999-10
Abstract
Information about reservoir properties usually comes from two sources: seismic data
and well logs. The former provide an indirect, low resolution image of rock velocity
and density. The latter provide direct, high resolution (but laterally sparse) sampling
of these and other rock parameters. An important problem in reservoir characterization
is how best to combine these data sets, allowing the well information to constrain the
seismic inversion and, conversely, using the seismic data to spatially interpolate and
extrapolate the well logs.
We have developed a seismic/well log inversion method that combines geostatistical
methods for well log interpolation (i.e., kriging) with a Monte Carlo search technique
for seismic inversion. Our method follows the approach used by Haas and Dubrule
(1994) in their sequential inversion algorithm. Kriging is applied to the well data to
obtain velocity estimates and their variances for use as a priori constraints in the seismic inversion. Further, inversion of a complete 2-D seismic section is performed one trace at a time. The velocity profiles derived from previous seismic traces are incorporated as "pseudo well logs" in subsequent applications of kriging. Our version of this algorithm employs a more efficient Monte Carlo search algorithm in the seismic inversion step, and moves progressively away from the wells so as to minimize the kriging variance at each step. Numerical experiments with synthetic data demonstrate the viability of our seismic/well data inversion scheme.
Subjects
Inversion
Logging
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