Separation of potential field data using spatial filtering

Abstract

Summary In this paper, we propose a spatial filtering scheme using factorial kriging, a kind of geostatistical filtering method in order to separate regional and residual gravity anomaly. Spatial filtering assumes that regional anomalies have longer distance relation and residual anomalies have effected on smaller range. We decomposed gravity anomalies into two variogram models with long and short effective ranges by means of factorial kriging. And decomposed variogram models produced the separated regional-residual anomalies. This algorithm was examined with a synthetic gravity data, and also applied to a real microgravity data to figure out abandoned mineshaft