Full text loading...
-
3D Stochastic Inversion of Full-tensor Gravity Gradiometry Data Using Cokriging
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 76th EAGE Conference and Exhibition 2014, Jun 2014, Volume 2014, p.1 - 5
Abstract
We develop a new method for interpretation of full-tensor gravity gradiometry data, based on cokriging inversion. The cokriging method used in this paper is to minimize the theoretical estimation error variance by using auto- and cross-correlations of several variables. It does not need iterative process and can more easily include complex a priori information. Moreover, the smoothing effects in the inverted density structure model can be reduced to a certain extent due to the anisotropy constrain in the covariance model. The survey data of the Vinton dome are considered as a case study. The results of the inversion are in good agreement with the known formation in the region. This supports the validity of the proposed method.