Seismic Inversion Combining Kriging Interpolation and Multiple-point Geostatistics

It is necessary to estimate reservoir physical parameters accurately and effectively, because reservoir physical parameters are the key parameters to characterize the reservoir. Combining the advantage of stochastic simulation and seismic inversion, geostatistics inversion can acquire high resolution inversion results, and is an efficient method to achieve more accurate elastic parameters for reservoir identification. In this paper, we obtain the prior model by multiple point geostatistics (MPG) and Kriging interpolation. Then we obtain the elastic parameters by the Bayesian joint PP and PS inversion based on geostatistical prior information.