We present a workflow for a joint inversion of gravity and gravity gradients. Our goal is the multi-source modelling in different context with environmental applications such as caviy detection. The workflow is based on sequential joint inversion via cross-gradient constraint. We implemented the separate inversions through the focusing inversion, which we modified to exploit different types of a priori information such as geological knowledge and the inhomogeneous model-weighting function. Here, we discuss the results of the methodology applied to a simplified model from karstic cavities in limestones, demonstrating a reliable modelling of both shallow and deep sources.
Workflow for a joint inversion of gravity and gravity gradients for environmental applications
Vitale A.Penultimo
Membro del Collaboration Group
;
2022
Abstract
We present a workflow for a joint inversion of gravity and gravity gradients. Our goal is the multi-source modelling in different context with environmental applications such as caviy detection. The workflow is based on sequential joint inversion via cross-gradient constraint. We implemented the separate inversions through the focusing inversion, which we modified to exploit different types of a priori information such as geological knowledge and the inhomogeneous model-weighting function. Here, we discuss the results of the methodology applied to a simplified model from karstic cavities in limestones, demonstrating a reliable modelling of both shallow and deep sources.File | Dimensione | Formato | |
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