New separation method of regional-residual gravity anomaly by means of geostatistical filtering

Abstract

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. Gravity anomaly was decomposed into two variogram models depending on long and short effective ranges. And best-fitted variogram models produced the separated regional-residual anomalies by means of factorial kriging. This algorithm was examined with synthetic gravity data, and also applied to a real microgravity data to figure out abandoned mineshaft.