Interpretation of spontaneous potential anomalies from some simple geometrically shaped bodies using neural network inversion

A new approach is proposed in order to interpret spontaneous potential (self-potential) anomalies related to simple geometric-shaped models such as sphere, horizontal cylinder, and vertical cylinder. This approach is mainly based on using neural network inversion of SP anomalies, particularly modula...

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Bibliographic Details
Published in:	Acta geophysica Vol. 58; no. 1; pp. 143 - 162
Main Author:	Al-Garni, Mansour A.
Format:	Journal Article
Language:	English
Published:	Heidelberg SP Versita 01.02.2010 Versita Springer Nature B.V
Subjects:	Algorithms Earth and Environmental Science Earth Sciences Geophysics Geophysics/Geodesy Geotechnical Engineering & Applied Earth Sciences Hilbert transform modular algorithm neural network inversion Neural networks Normal distribution semi-infinite vertical cylinder spontaneous potential anomalies Structural Geology Hilbert transform modular algorithm semi-infinite vertical cylinder spontaneous potential anomalies neural network inversion
ISSN:	1895-6572, 1895-7455
Online Access:	Get full text
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