Abstract
Herein, the gravity anomalies are a function of horizontal variations in subsurface rock densities; therefore, the interpretation of gravity anomalies is useful in prospecting the provinces that have contrasting geological structures, which contain crypts, minerals, ores, and hydrocarbon deposit. Depth-size relationships due to geological considerations in the region are also necessary. This study attempted to develop a new fast inversion algorithm to prospect the gravity anomaly profiles, like evaluating the depth, the amplitude coefficient, and the shape parameter of target structures for simple geometric bodies. This new inverted model parameters approach mainly used the analytical signal of the gravity anomaly profile data. The efficiency and stability of this method were tested by many cases such as noise-free and noisy synthetic cases, multiple model cases effect, and the effect of choosing the location of the origin. In addition, the validity of this method was examined by raw gravity data from three different locations around the world, Slovakia, Cuba, and India. In all the three examined real gravity data, it was reported that the estimated parameters were consistent in an appositive manner with the actual ones and with those reported by the extent of research. The necessary time to discover this proper elucidation was very short and the assessed parameters demonstrated that the new suggested method was applicable for gravity exploration. The study concludes that this method can be extracted parameters, which have a significant association in terms of geologic and economic characteristics.