Application of iterative re-weighting inversion to airborne gravity gradiometer data - new technologies to improve modelling gravity gradients capabilities (original) (raw)

Abstract

We first introduce new technology using a synthetic dipping prism model to support better inversion modelling method by implementing improvements in the prismatic approximation of surfaces using Cartesian Cut Cell method. Secondly, we demonstrate the use of iterative reweighting inversion to recover a more reasonable model in the absence of a-priori information. These technologies are then applied to Airborne Gravity Gradiometer (A.G.G.) data acquired by the Falcon System within the Karasjok Greenstone Belt, Norway. The A.G.G. density model is used in combination with magnetization vectors to co-model and interpret the greenstone belt in terms of its potential field properties.

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