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Inversion of Gravity Data Using a Geostatistical Method
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 79th EAGE Conference and Exhibition 2017, Jun 2017, Volume 2017, p.1 - 3
Abstract
Inversion of gravity data for determination of subsurface density distribution using a geostatistical method of Cokriging is going to be considered. Cokriging is a mathematical interpolation and extrapolation tool. It uses the spatial correlation between the secondary variables and a primary variable to improve the estimation of the primary variable at unsampled locations. The Cokriging method gives weights to data so as to minimize the estimation variance (the Cokriging variance). In this paper, the primary variable is density, (estimated by ?*) and the secondary variable is gravity g. For determination of kernel matrix, the subsurface area is divided into large number of rectangular blocks of known sizes and positions. Preconditioned Conjugate Gradient method is used for inversion. The computer program is written in MATLAB and tested on synthetic and real data. The results indicate that the geometry and density of the reconstructed model are close to those of the original model.