Identification of Fault Structures with Regional-Residual Anomaly Separation Using Polynomial, Moving Average, and SVD Methods

Abstract

In the gravity method, faults can be identified using residual anomaly data. Residual anomaly data is obtained by separating regional-residual anomalies on complete bouguer anomaly data. Regional-residual anomaly separation can be performed using several methods. Therefore, this study was conducted to compare the results of the separation of regional-residual anomalies using different methods in order to obtain the most suitable fault location points with geological data. In this study, three methods were used, namely polynomial method, moving average method, and Second Vertical Derivative (SVD) method. By comparing the results of regional-residual anomaly separation from various methods, it can be obtained the method that has the most suitable results with geological data so that it can provide more accurate fault location information. From this comparison, there is a difference between the number of faults on the geological map and the number of faults from the research. The number of faults found in the residual anomaly data resulting from the separation using polynomial method, moving average, and geological data both amounted to five faults, from the separation using Second Vertical Derivative (SVD) method amounted to six faults. In addition, there is a difference between the location of the fault on the geological map and the fault location of the research results. Fault location points using the Second Vertical Derivative (SVD) method have the fault location points closest to the geological data. Thus, it can be said that Second Vertical Derivative (SVD) method has the highest level of sensitivity to faults.