Multi-scale tilt depth estimation

Many an approach to the estimation of magnetic source depths from magnetic data has been investigated over the past half a century. These approaches have been shown to have particular strengths and weaknesses with few implemented on a wide scale, commercial basis. A review of many of the more po...

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Main Author: Van Buren, Reece
Format: Others
Language:en
Published: 2014
Subjects:
Online Access:http://hdl.handle.net10539/14011
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spelling ndltd-netd.ac.za-oai-union.ndltd.org-wits-oai-wiredspace.wits.ac.za-10539-140112019-05-11T03:41:30Z Multi-scale tilt depth estimation Van Buren, Reece Multiscale modelling. Many an approach to the estimation of magnetic source depths from magnetic data has been investigated over the past half a century. These approaches have been shown to have particular strengths and weaknesses with few implemented on a wide scale, commercial basis. A review of many of the more popular, as well as a few of the more obscure methods, is presented within this work. The history of multi-scale computation, with emphasis on its application to potential fields is summarized. A newly developed depth estimation technique dubbed Multi-Scale Tilt Depth Estimation is offered. The method has been shown to derive suitable depth estimates when applied to modelled data computed from a range of simple synthetic models. Sensitivity of the method to model type, dip, interference and noise has been tested. A number of mitigating strategies to improve and stabilize the method’s performance have been proposed. Results of the successful application of the method to field datasets from the Bushveld Complex and surrounding areas in South Africa are shown. Code to execute the method, written in Matlab is offered in Appendix A. Figures of the application of the method to all synthetic models have been included in Appendix B and C. A portion of this work has been presented at the South African Geophysical Association’s 11th Biennial Technical Meeting and Exhibition in the form of verbal and poster presentations accompanied by a short paper which is included here in Appendix D. 2014-03-04T11:17:18Z 2014-03-04T11:17:18Z 2014-03-04 Thesis http://hdl.handle.net10539/14011 en application/pdf
collection NDLTD
language en
format Others
sources NDLTD
topic Multiscale modelling.
spellingShingle Multiscale modelling.
Van Buren, Reece
Multi-scale tilt depth estimation
description Many an approach to the estimation of magnetic source depths from magnetic data has been investigated over the past half a century. These approaches have been shown to have particular strengths and weaknesses with few implemented on a wide scale, commercial basis. A review of many of the more popular, as well as a few of the more obscure methods, is presented within this work. The history of multi-scale computation, with emphasis on its application to potential fields is summarized. A newly developed depth estimation technique dubbed Multi-Scale Tilt Depth Estimation is offered. The method has been shown to derive suitable depth estimates when applied to modelled data computed from a range of simple synthetic models. Sensitivity of the method to model type, dip, interference and noise has been tested. A number of mitigating strategies to improve and stabilize the method’s performance have been proposed. Results of the successful application of the method to field datasets from the Bushveld Complex and surrounding areas in South Africa are shown. Code to execute the method, written in Matlab is offered in Appendix A. Figures of the application of the method to all synthetic models have been included in Appendix B and C. A portion of this work has been presented at the South African Geophysical Association’s 11th Biennial Technical Meeting and Exhibition in the form of verbal and poster presentations accompanied by a short paper which is included here in Appendix D.
author Van Buren, Reece
author_facet Van Buren, Reece
author_sort Van Buren, Reece
title Multi-scale tilt depth estimation
title_short Multi-scale tilt depth estimation
title_full Multi-scale tilt depth estimation
title_fullStr Multi-scale tilt depth estimation
title_full_unstemmed Multi-scale tilt depth estimation
title_sort multi-scale tilt depth estimation
publishDate 2014
url http://hdl.handle.net10539/14011
work_keys_str_mv AT vanburenreece multiscaletiltdepthestimation
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