3-D Inverse Modeling of Gravity Data Using Compact Inversion

Inversion of gravity data is one of the most interesting numerical tools for obtaining 3-D images of geological structure. In this study, modeling of gravity anomalies is performed by new linear modeling Method (Compact Inversion). The principle used is to minimize the volume of causative body which is equivalent to maximizing its compactness. The anomalous density distribution is obtained using an iterative technique which is numerically stable and rapidly convergent. The principle can also be adapted to include modeling of gravity anomalies by single density sources. The treatment of noise in data fits naturally into formulations of the inversion procedure. The method is illustrated by inversion of noise-free data and noisy data.The practical effectiveness of this methods is demonstrated by inversion of synthetic and real example. The real data is acquired over chromite ore in Hormozgan province of Iran. The results obtained are compared with existing outcrop and available superficial drilling.