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7th Middle East Geosciences Conference and Exhibition
Manama, Bahrain
March 27-29, 2006
Modeling
Workflow
1 ChevronTexaco, San Ramon, CA 94583, phone: 925-842-0218, [email protected]
2 ChevronTexaco Energy Technology Company, 6001 Bollinger Canyon Rd, San Ramon, CA 94583 -2324
Building geologically realistic reservoir models that honor well data, seismic
-derived information, and production history,
remains a major challenge. Conventional variogram-based
modeling
techniques typically fail to capture complex geological
structures while object-based techniques are severely limited by the amount of conditioning data. This talk presents two
new reservoir facies
modeling
tools developed at Chevron that improve both model quality and efficiency relative to
traditional geostatistical techniques: Multiple-Point Statistics (MPS) simulation and Facies Distribution
Modeling
(FDM).
MPS simulation is an innovative depositional facies modeling
technique that uses conceptual geological models as training
images to integrate geological information into reservoir models. Replacing the variogram with a training image allows MPS
to capture complex spatial relationships between multiple facies, and model non -linear shapes such as sinuous channels. In
addition, because MPS is not an object-based, but still a pixel-based algorithm, MPS can account for very large numbers of
wells,
seismic
data, facies proportion maps and curves, variable azimuth maps, and interpreted geobodies, reducing
dramatically uncertainty in facies spatial distribution.
Facies Distribution Modeling
(FDM) is a new technique to generate facies probability cubes from user-digitized facies
depocenter maps and cross-sections, well data, and vertical proportion curves. Multiple sources of information (well logs,
cores,
seismic
, and dynamic data) can be used to generate FDM probability cubes. These cubes can be weighted and
merged to be used as soft constraints in geostatistical
modeling
. Such constraints are critical, especially in sparse well
environments, to ensure that the spatial distribution of the simulated facies is consistent with the depositional facies
interpretation of the field.