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The AAPG/Datapages Combined Publications Database
AAPG Special Volumes
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* Danish North Sea Alberto S. Almeida
* ABSTRACT The objective was to obtain stochastic images of porosity and permeability properties of the reservoir. Because these parameters are spatially interrelated, a cosimulation algorithm in which these properties are jointly simulated was applied. This algorithm, called the Gaussian collocated cosimulation algorithm, was built on a Markov-type hypothesis, whereby collocated secondary information is assumed to screen out farther away secondary data. This method allows us to perform the direct cosimulation of several interdependent variables integrating several sources of soft information. The abundantly available wireline log--calculated porosity data from the wells were used as soft data, being completed into the regular grid by using a separate simulation step. The resulting stochastic models reflect both the short- and long-range structures, and the high correlation between porosity and permeability. The fine-scale stochastic images are useful for studies on upscaling techniques. |
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