About

Log in?

DTU users get better search results including licensed content and discounts on order fees.

Anyone can log in and get personalized features such as favorites, tags and feeds.

Log in as DTU user Log in as non-DTU user No thanks

DTU Findit

Conference paper

Inversion of non-linear quantities derived from potential fields

In Proceedings of the 81st Eage Conference and Exhibition — 2019
From

University of Naples Federico II1

Fluid Mechanics, Coastal and Maritime Engineering, Department of Mechanical Engineering, Technical University of Denmark2

Department of Mechanical Engineering, Technical University of Denmark3

South Valley University4

In recent years, potential field quantities such as the Normalized Source Strength and the Total Gradient have been increasingly used in applied and environmental geophysics because of their properties. They are always non-negative and minimally affected by the direction of the source’s remanent magnetization.

Despite the fact that these quantities are derived from nonlinear transformations of potential field data, a linear inversion approach of NSS and TG is often used in the literature without investigating its theoretical and practical limits. In this paper, we present an approach for the nonlinear constrained inversion of these quantities and apply it to synthetic data and measurements carried out at the Vredefort structure, South Africa.

We show, through GSVD analysis tools, that the nonlinearity of the problem can hamper the inversion results when using a linear approach, whereas our nonlinear iterative approach leads to more reliable reconstructions of the subsurface density/magnetization distribution.

Language: English
Publisher: European Association of Geoscientists and Engineers
Year: 2019
Proceedings: 81st EAGE Conference and Exhibition 2019
ISBN: 9462822891 and 9789462822894
Types: Conference paper
DOI: 10.3997/2214-4609.201901494
ORCIDs: Bingham, H.

DTU users get better search results including licensed content and discounts on order fees.

Log in as DTU user

Access

Analysis