Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm

The conventional Euler deconvolution has five unknown parameters to be solve which are the location of source (x0, y0 and z0), the background field (B) and the structural index (N). Among these 5 unknowns, the structural index is to be manually selected by the user. The manual input of structural in...

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Main Author: Usman, Nuraddeen
Format: Thesis
Language:English
Published: 2018
Subjects:
Online Access:http://eprints.usm.my/44225/1/NURADDEEN%20USMAN.pdf
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author Usman, Nuraddeen
author_facet Usman, Nuraddeen
author_sort Usman, Nuraddeen
collection USM
description The conventional Euler deconvolution has five unknown parameters to be solve which are the location of source (x0, y0 and z0), the background field (B) and the structural index (N). Among these 5 unknowns, the structural index is to be manually selected by the user. The manual input of structural index into the Euler equation makes the technique to be subjective and semi-automated. The objectives of this research are, to automate Euler deconvolution equation and introduce a filter for discriminating reliable solution from the inversion output. It is also part of the objectives of this research, to assess the effect of inclination on the new technique and investigate the accuracy of the introduced algorithm.
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spelling usm.eprints-442252019-04-26T01:43:11Z http://eprints.usm.my/44225/ Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm Usman, Nuraddeen QC1 Physics (General) The conventional Euler deconvolution has five unknown parameters to be solve which are the location of source (x0, y0 and z0), the background field (B) and the structural index (N). Among these 5 unknowns, the structural index is to be manually selected by the user. The manual input of structural index into the Euler equation makes the technique to be subjective and semi-automated. The objectives of this research are, to automate Euler deconvolution equation and introduce a filter for discriminating reliable solution from the inversion output. It is also part of the objectives of this research, to assess the effect of inclination on the new technique and investigate the accuracy of the introduced algorithm. 2018-04 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/44225/1/NURADDEEN%20USMAN.pdf Usman, Nuraddeen (2018) Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm. PhD thesis, Universiti Sains Malaysia.
spellingShingle QC1 Physics (General)
Usman, Nuraddeen
Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm
title Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm
title_full Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm
title_fullStr Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm
title_full_unstemmed Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm
title_short Automatic Interpretation Of Magnetic Data Using Euler Deconvolution With Modified Algorithm
title_sort automatic interpretation of magnetic data using euler deconvolution with modified algorithm
topic QC1 Physics (General)
url http://eprints.usm.my/44225/1/NURADDEEN%20USMAN.pdf
work_keys_str_mv AT usmannuraddeen automaticinterpretationofmagneticdatausingeulerdeconvolutionwithmodifiedalgorithm