Mathematical model of MMR inversion for geophysical data

In this paper, we present an analysis of the solution to a number of geophysical inverse problems which are generally non-unique. The mathematical inverse problem that arises is commonly ill-posed in the sense that small changes in the data lead to large changes in the solution. We conduct the inver...

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Main Author: Suabsagun Yooyuanyong
Format: Article
Language:English
Published: Prince of Songkla University 2007-09-01
Series:Songklanakarin Journal of Science and Technology (SJST)
Subjects:
Online Access:http://www.sjst.psu.ac.th/journal/29-5_online/0125-3395-29-5-1417-1426.pdf
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author Suabsagun Yooyuanyong
author_facet Suabsagun Yooyuanyong
author_sort Suabsagun Yooyuanyong
collection DOAJ
description In this paper, we present an analysis of the solution to a number of geophysical inverse problems which are generally non-unique. The mathematical inverse problem that arises is commonly ill-posed in the sense that small changes in the data lead to large changes in the solution. We conduct the inversion algorithm to explore the conductivity for the ground structure. The algorithm uses the data in the form of magnetic field measurements for magnetometric resistivity (MMR). The inversion example is performed to investigate the conductivity ground profile that best fits the observed data. The result is compared with the true model and discussed to show the efficiency of the method. The model for the inversion example with the apparent conductivity and the true conductivity are plotted to show the convergence of the algorithm.
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spelling doaj.art-0dda5b0bce7b48618eec69f0c38a109b2022-12-22T00:52:39ZengPrince of Songkla UniversitySongklanakarin Journal of Science and Technology (SJST)0125-33952007-09-0129514171426Mathematical model of MMR inversion for geophysical dataSuabsagun YooyuanyongIn this paper, we present an analysis of the solution to a number of geophysical inverse problems which are generally non-unique. The mathematical inverse problem that arises is commonly ill-posed in the sense that small changes in the data lead to large changes in the solution. We conduct the inversion algorithm to explore the conductivity for the ground structure. The algorithm uses the data in the form of magnetic field measurements for magnetometric resistivity (MMR). The inversion example is performed to investigate the conductivity ground profile that best fits the observed data. The result is compared with the true model and discussed to show the efficiency of the method. The model for the inversion example with the apparent conductivity and the true conductivity are plotted to show the convergence of the algorithm.http://www.sjst.psu.ac.th/journal/29-5_online/0125-3395-29-5-1417-1426.pdfmagnetometric resistivityMMR.Magnetic field
spellingShingle Suabsagun Yooyuanyong
Mathematical model of MMR inversion for geophysical data
Songklanakarin Journal of Science and Technology (SJST)
magnetometric resistivity
MMR.
Magnetic field
title Mathematical model of MMR inversion for geophysical data
title_full Mathematical model of MMR inversion for geophysical data
title_fullStr Mathematical model of MMR inversion for geophysical data
title_full_unstemmed Mathematical model of MMR inversion for geophysical data
title_short Mathematical model of MMR inversion for geophysical data
title_sort mathematical model of mmr inversion for geophysical data
topic magnetometric resistivity
MMR.
Magnetic field
url http://www.sjst.psu.ac.th/journal/29-5_online/0125-3395-29-5-1417-1426.pdf
work_keys_str_mv AT suabsagunyooyuanyong mathematicalmodelofmmrinversionforgeophysicaldata