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The AAPG/Datapages Combined Publications Database

Kansas Geological Society


Transactions of the 1999 AAPG Midcontinent Section Meeting (Geoscience for the 21st Century), 1999
Pages 170-180

Constraining Previous HitPermeabilityNext Hit Field to Engineering Data: an Innovative Approach in Reservoir Characterization

Hisham Al-Qassab


Reservoir characterization can yield major improvements in reservoir management and hence in reservoir forecasting. The use of engineering data in reservoir characterization has become increasingly important particularly when it comes to Previous HitpermeabilityNext Hit modeling. This paper presents a new technique in integrating engineering data such as pressure-buildup tests and flow-meter surveys in conditioning core Previous HitpermeabilityNext Hit data to capture high flow zones in stratified reservoirs.

Flow-meter data are used to allocate total Previous HitpermeabilityNext Hit from pressure-buildup test. Through this technique a Previous HitpermeabilityNext Hit log is produced that has the same vertical resolution as the flow meter. Series of cross validations are performed between core Previous HitpermeabilityNext Hit and Previous HitpermeabilityNext Hit derived from engineering data. Such validations provide statistical comparison between the two sources of Previous HitpermeabilityNext Hit for each facies. A comparison of the porosity relationship also is made between both sources of Previous HitpermeabilityNext Hit. Upon completetion of the cross validation phase, an integration phase is accomplished. Subsequently, the Previous HitpermeabilityNext Hit obtained from engineering data is used to sample the cumulative density function of the core-Previous HitpermeabilityNext Hit cloud transform.

Finally, the spatial correlation of Previous HitpermeabilityNext Hit is obtained from the radial diameter of the pressure buildup test to construct a Previous HitpermeabilityNext Hit model. Such a model then is compared with a conventionally built Previous HitpermeabilityTop model. This approach was applied to one of the Saudi Arabian oil fields. The results of this case study show that a model conditioned to engineering data produces better results of capturing the high flow zones in a highly stratified Saudi Arabian reservoir.

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