Solution of the Inverse Electromagnetic Problem of Spontaneous Potential (SP) by Very Fast Simulated Reannealing (VFSR)

Very Fast Simulated Reannealing (VFSR) is applied to the solution of an inverse electromagnetic problem. The problem is to model the distribution of dipole current sources in a finitely resistive infinite half space. Modelling is done using the observed electrical potential on the interface between...

Full description

Saved in:
Bibliographic Details
Published inAdvances in Natural Computation pp. 618 - 621
Main Authors Göksu, Hüseyin, Kaya, Mehmet Ali, Kökçe, Ali
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2005
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Exact sciences and technology
Genetic Algorithm
Geophysical Prospect
Inverse Solution
Monte Carlo
Simulated Annealing
Free field
Electromagnetism
Error function
Simulated annealing
Electromagnetic
Potential function
Geophysical prospecting
Data field
Half space
Modeling
Quadratic function
Inverse problem
Online AccessGet full text

Cover

More Information
Summary:Very Fast Simulated Reannealing (VFSR) is applied to the solution of an inverse electromagnetic problem. The problem is to model the distribution of dipole current sources in a finitely resistive infinite half space. Modelling is done using the observed electrical potential on the interface between the half space and the free space. This method is known as Spontaneous Potential (SP) and is widely used for geophysical prospecting. Object of the VFSR algorithm is a quadratic error function between measured and synthetic data. Method is tested on a field data.
ISBN:9783540283256
3540283250
3540283234
9783540283232
ISSN:0302-9743
1611-3349
DOI:10.1007/11539117_87