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TSVD analysis of Euler deconvolution to improve estimating magnetic source parameters: An example from the Asele area, Sweden
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences.
2013 (English)In: Journal of Applied Geophysics, ISSN 0926-9851, Vol. 90, 82-91 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, I introduce a new approach based on truncated singular value decomposition (TSVD) analysis for improving implementation of grid-based Euler deconvolution with constraints of quasi 2D magnetic sources. I will show that by using TSVD analysis of the gradient matrix of magnetic field anomaly (reduced to pole) for data points located within a square window centered at the maximum of the analytic signal amplitude, we are able to estimate the strike direction and dip angle of 2D structures from the acquired eigenvectors. It is also shown that implementation of the standard grid-based Euler deconvolution can be considerably improved by solving the Euler's homogeneity equation for source location and structural index, simultaneously, using the TSVD method. The dimensionality of the magnetic anomalies can be indicated from the ratio between the smallest and intermediate eigenvalues acquired from the TSVD analysis of the gradient matrix. For 2D magnetic sources, the uncertainty of the estimated source location and structural index is significantly reduced by truncating the smallest eigenvalue. Application of the method is demonstrated on an aeromagnetic data set from the Asele area in Sweden. The geology of this area is dominated by several dike swarms. For these dolerite dikes, the introduced method has provided useful information of strike directions and dip angles in addition to the estimated source location and structural index.

Place, publisher, year, edition, pages
2013. Vol. 90, 82-91 p.
Keyword [en]
Magnetic field, Euler deconvolution, TSVD analysis, Source location, 2D interpretation, Uncertainty
National Category
Natural Sciences
URN: urn:nbn:se:uu:diva-198628DOI: 10.1016/j.jappgeo.2013.01.002ISI: 000316167700008OAI: oai:DiVA.org:uu-198628DiVA: diva2:617177
Available from: 2013-04-22 Created: 2013-04-22 Last updated: 2013-04-22Bibliographically approved

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