Programs to compute magnetization to density ratio and the magnetization inclination from 3-D gravity and magnetic anomalies


Autoria(s): MENDONCA, Carlos A.; MEGULD, Ahmed M. A.
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

19/10/2012

19/10/2012

2008

Resumo

Vector field formulation based on the Poisson theorem allows an automatic determination of rock physical properties (magnetization to density ratio-MDR-and the magnetization inclination-MI) from combined processing of gravity and magnetic geophysical data. The basic assumptions (i.e., Poisson conditions) are: that gravity and magnetic fields share common sources, and that these sources have a uniform magnetization direction and MDR. In addition, the previously existing formulation was restricted to profile data, and assumed sufficiently elongated (2-D) sources. For sources that violate Poisson conditions or have a 3-D geometry, the apparent values of MDR and MI that are generated in this way have an unclear relationship to the actual properties in the subsurface. We present Fortran programs that estimate MDR and MI values for 3-D sources through processing of gridded gravity and magnetic data. Tests with simple geophysical models indicate that magnetization polarity can be successfully recovered by MDR-MI processing, even in cases where juxtaposed bodies cannot be clearly distinguished on the basis of anomaly data. These results may be useful in crustal studies, especially in mapping magnetization polarity from marine-based gravity and magnetic data. (c) 2007 Elsevier Ltd. All rights reserved.

Identificador

COMPUTERS & GEOSCIENCES, v.34, n.6, p.603-610, 2008

0098-3004

http://producao.usp.br/handle/BDPI/27196

10.1016/j.cageo.2007.09.013

http://dx.doi.org/10.1016/j.cageo.2007.09.013

Idioma(s)

eng

Publicador

PERGAMON-ELSEVIER SCIENCE LTD

Relação

Computers & Geosciences

Direitos

restrictedAccess

Copyright PERGAMON-ELSEVIER SCIENCE LTD

Palavras-Chave #potential fields #Poisson theorem #MDR #MI #JOINT INTERPRETATION #REDUCTION #THEOREM #POLE #Computer Science, Interdisciplinary Applications #Geosciences, Multidisciplinary
Tipo

article

original article

publishedVersion