It is well known that the change of fluid saturation and pressure are two of most important parameters during the oil and gas production scheme adjustment. So it is an important issue to study presently that how to obtain these two parameters from seismic data. Here we put forward the method of computing the fluid saturation and pressure with multi-parameter regression. First, P-wave impedance and S-wave impedance should be relative accurately obtained by time-lapse seismic elastic impedance inversion, therefore the Vp/Vs ratio, Poisson''s ratio and other elastic parameters will be computed. Then link these parameters with fluid saturation and pressure by network methodology to predict the fluid saturation and pressure change on each sample of the reservoir interval, which provides proofs for finding the remaining oil and enhancing the recovery factor.
Wallace, Michael J. (Willowstick Technologies LLC) | Montgomery, Jerry R. (Willowstick Technologies LLC) | Kofoed, Val O. (Willowstick Technologies LLC) | Jessop, Mike L. (Willowstick Technologies LLC)
We discuss a method for selecting optimal filter lengths, trace segments and damping parameters for local-matching of time-lapse seismic data sets. In this method, an evolutionary programming (EP) algorithm is used to optimize parameters such that estimated match filters have predefined properties within and outside the estimation window. Results from a 3D time-lapse data set from the Gulf of Mexico show that this method provides improvements over conventional local-matching that use fixed, manually selected filter estimation parameters.