saturation estimation using mcsem data and stochastic petrophysical modeling

摘要

patent specification: "estimation of saturation using mcsem data and stochastic petrophysical modeling". The invention relates to a method for estimating saturation using mcsem data and stochastic petrophysical models by quantifying the mean water saturation in a reservoir given the transverse strength (tr) obtained from mcsem data comprising the steps a) obtaining mcsem survey data from a region of interest underground, b) performing an inversion of said obtained mcsem data, c) subtracting a base resistivity trend from said mcsem inversion data from the resistivity trend of said inversion data per mcsem within a hydrocarbon reservoir, d) estimation of the location of an anomaly in the inversion data of mcsem, e) estimation of the magnitude of the transverse resistance associated with an anomaly from the inversion data of mcsem. mcsem, f) estimate of an initial mean reservoir saturation corresponding to transverse resistance using a mod stochastic petrophysical link and monte carlo simulation that correlate reservoir parameters to transverse resistance, and g) integration of the saturation distribution obtained as a function of transverse resistances over the assumed distribution of transverse resistances to obtain a final estimate of the probability of fluid saturation.