Regularized multiparameter joint inversion of seismic, electromagnetic, and production data

Abstract

We introduce an approach for simultaneously retrieving multiple reservoir parameters such as permeability and porosity through joint inversion of seismic, electromagnetic, and production data. Sensitivities of those measurements with respect to different reservoir parameters are complementary, rationalizing the theoretical basis for this multi-physics joint inversion approach. In the scenario under study, production data have good sensitivity to both permeability and porosity, but only in the vicinity of wells; seismic data are more sensitive to porosity, while electromagnetic data are primarily sensitive to saturation which is a function of permeability and porosity in the context of a dynamic reservoir model. Both seismic and electromagnetic data provide large coverage within the reservoir. Therefore, it is possible to simultaneously recover permeability and porosity from the joint inversion of these measurements. However, to achieve high-quality results, prior information, such as the relationship between permeability and porosity distributions, needs to be taken into account. Different regularization approaches are investigated to facilitate incorporation of prior information into the joint inversion algorithm.