Preparation and application of stochastic simulation for the sensitive parameters of oil-bearing reservoir

Abstract

The petrol physical inversion, based on the parametric relations defined by the Archie’s formulas, revealed that oiliness of reservoir in the targeted zone increases along with the resistivity increment. U sing the different values of resistivity Rtf, and water saturation Sw=80% as the aqueous layer limit, we build up a theoretical chart of Rtf greater than 3.5Ω.m as the reference standard for Oil bearing sand body. Upon the statistical results of actual well data, we set “the cloud relationship” between Rtf and P-impedance under the constraint of geostatistics inversion data, and used the cooperative simulation algorithm to get a spatial prediction of oil-bearing sand body by means of inversion data of the P-impedance.