Taylor iteration downward continuation method for gravity gradient tensor data

Abstract

Gravity gradient tensor downward continuation can highlight the anomaly characteristics of the shallow, reflect the characteristics of abnormal body horizontal density variation. Nowadays, most gradient tensor downward continuation studies are focusing on spatial domain, and the current obstacles are slow computation speed and small downward continuation height in frequency domain research. In this study, we showed a new method to downward continuation of gravity gradient data using Taylor iteration method. The general Taylor iteration method formula was deduced, and we proved the convergence of the approach. Modeling experiment showed a good fit to large point spacing. The analysis of the iterations radio showed that the Taylor expansion item is correlated with convergence speed. Furthermore, the application to the actual data of America Vinton, LA demonstrated that Taylor iteration method has a good effect to actual data.