Integrated Imaging and Inversion of Multi-Physics Data for Exploration Geopysics Applications

Abstract

We present a multi-physics frequency-domain data inversion method for large-scale problems in reservoir evaluation applications, hi this work, the seismic data and the marine controlled-source electromagnetic (CSEM) data inversion algorithms were combined through a constraint that enforces the structural similarity between the conductivity image and the P-wave velocity image. In this work, the inverse algorithm that we develop is based on a regularized Gauss-Newton approach. We employ the multiplicative regularization to automatically choose the regularization parameters. The weighted L2-norm is used to reconstruct structures with sharp boundaries. According to the simulation results, the joint inversion algorithm based on the cross-gradient constraint shows significant improvement over the regular separate CSEM or seismic inversion. This joint inversion algorithm can be used not only in the integration of the marine CSEM and seismic survey data for the sub-sea exploration applications, but also for the joint inversion of the cross-well electromagnetic and the cross-well seismic to obtain the structural information.