Regularized equidimension inversion of gravity data

Abstract

The inversion of gravity data is to recover a 3-D distribution of density contrast based on the gravity observation data. In reality, we can merely utilize the limited and discrete gravity data known only on the surface in the inversion. That causes the inherent non-uniqueness and low depth resolution of the gravity data inversion results. In this paper, we developed a new method of the regularized equidimension inversion (REI), which achieved the inversion of the 3-D gravity anomaly model with 3-D gravity anomaly data. We combined the BG theory and Tikhonov regularization method, developed the regularized inversion of the potential field data. The character of equidimension inversion is to inverse the subsurface model utilizing the 3-D anomaly data. The 3-D anomaly is including the anomaly data of several height planes besides the 2-D anomaly data of the surface.