Further developments with full tensor gradiometry datasets

Abstract

With the advent of new potential field full tensor gradient instrumentation, new methods have been developed to denoise and process these curvature gradients. Traditional Fourier Domain and Minimum Squares least squares residual of the linear differential relationships have been adapted. This leads to levelling, gridding and grid filtering innovations. The result is a Full Tensor Grid representation of the curvature gradients that is coherent and compliant with the physics at all points in the grid. All of the observed data is thus honoured in the Tensor grid. Superior anomaly interpretation and inferences can then be made. A case study showing the improvement that can be obtained is presented. Special attention is warranted for the Full Tensor Magnetic gradient signal. Multiple surveys of this quantity have been made recently in South Africa.