Model Based Interpolation for Magnetic Field Anomaly Analysis

Geophysical data are widely used in mines exploration and reservoir characterization studies. But geology and geophysics details are lost because of the sparse grid of measurement. In order to compliment the lost details, geophysicist applied different mathematics interpolation method. A new model based interpolation method was successfully applied in the climate data. This kind of model is based on solving the stochastic partial differential equations (SPDE) . In this paper, SPDE model methos is used to solve the magnetic field data. As a result, we can get that geophysical data can be predicted by this method. And they are able to provide precise information for the geology and geophysics interpretation.