Non Linear Bayesian Inversion Of Seismic Avaz And Production Data With Respect To The Fracture Aperture And Density

Abstract

This paper proposes a method for characterization of naturally fractured reservoirs by integration of seismic and production data. The method is based on a consistent model for the effective hydraulic and elastic properties of fractured porous media and a (nonlinear) Bayesian method of inversion which provides information about uncertainties as well as mean values. We consider fractured reservoir model as an anisotropic media characterized by unknown fracture density and aperture. Then we look at the problem of characterization as an inverse problem and try to recover the unknown fracture parameters by joint inversion of anisotropic seismic AVAZ data and dynamic production data. A synthetic example is provided to clearly explain the workflow. It shows that the seismic data resolve non uniqueness in inversion and the production data helps to recover the true fracture aperture because production data are more sensitive to the fracture aperture rather than the seismic data.