Novel Approach In Static Shift Correction For Magnetotellurics Data Using 2d Electrical Resistivity Imaging

Magnetotellurics (MT) method utilizes lightning activities and solar wind interactions as electromagnetic sources in measuring resistivity distribution to great depths. Static shift is a common problem in MT where actual MT data is shifted higher or lower in logarithmic scale but maintains the same...

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Main Author:	A Rahman, Muhammad Nazrin
Format:	Thesis
Language:	English
Published:	2022
Subjects:	QC1 Physics (General)
Online Access:	http://eprints.usm.my/59761/1/MUHAMMAD%20NAZRIN%20BIN%20A%20RAHMAN%20-%20tesis24.pdf
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spelling	my-usm-ep.597612024-01-23T02:07:03Z Novel Approach In Static Shift Correction For Magnetotellurics Data Using 2d Electrical Resistivity Imaging 2022-05 A Rahman, Muhammad Nazrin QC1 Physics (General) Magnetotellurics (MT) method utilizes lightning activities and solar wind interactions as electromagnetic sources in measuring resistivity distribution to great depths. Static shift is a common problem in MT where actual MT data is shifted higher or lower in logarithmic scale but maintains the same apparent resistivity (ρA) curve. It arises from voltage distortion, current distortion and topography effect. Currently, MT static shift is corrected using vertical electrical sounding (VES) and transient electromagnetic (TEM) data, which give ρA data in 1D that does not depicts subsurface materials precisely. In contrast, 2D electrical resistivity imaging (2D ERI) provides data in lateral and vertical directions; therefore, better images the ground with higher sensitivity to inhomogeneity. Additionally, true resistivity (ρT) obtained after inversion provides a better representation of the Earth than ρA. Therefore, this study develops a new static shift correction using 2D ERI ρT data. The study was carried out in 2020 where nine MT stations were conducted in Lahad Datu, Sabah. 2D ERI lines were conducted across MT stations to obtain the best resistivity model and extract ρA and ρT values beneath MT stations as two data groups for static shift correction. Resistivity data from 2D ERI was employed to constrained MT phase inversion to obtain the actual MT response for every MT station. Resistivity curve from MT survey was then shifted to the actual response to achieve its true resistivity level. The results obtained from ρA and ρT shifts yielded RMS values of <11.3 and <8.1 respectively. 2022-05 Thesis http://eprints.usm.my/59761/ http://eprints.usm.my/59761/1/MUHAMMAD%20NAZRIN%20BIN%20A%20RAHMAN%20-%20tesis24.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Fizik
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QC1 Physics (General)
spellingShingle	QC1 Physics (General) A Rahman, Muhammad Nazrin Novel Approach In Static Shift Correction For Magnetotellurics Data Using 2d Electrical Resistivity Imaging
description	Magnetotellurics (MT) method utilizes lightning activities and solar wind interactions as electromagnetic sources in measuring resistivity distribution to great depths. Static shift is a common problem in MT where actual MT data is shifted higher or lower in logarithmic scale but maintains the same apparent resistivity (ρA) curve. It arises from voltage distortion, current distortion and topography effect. Currently, MT static shift is corrected using vertical electrical sounding (VES) and transient electromagnetic (TEM) data, which give ρA data in 1D that does not depicts subsurface materials precisely. In contrast, 2D electrical resistivity imaging (2D ERI) provides data in lateral and vertical directions; therefore, better images the ground with higher sensitivity to inhomogeneity. Additionally, true resistivity (ρT) obtained after inversion provides a better representation of the Earth than ρA. Therefore, this study develops a new static shift correction using 2D ERI ρT data. The study was carried out in 2020 where nine MT stations were conducted in Lahad Datu, Sabah. 2D ERI lines were conducted across MT stations to obtain the best resistivity model and extract ρA and ρT values beneath MT stations as two data groups for static shift correction. Resistivity data from 2D ERI was employed to constrained MT phase inversion to obtain the actual MT response for every MT station. Resistivity curve from MT survey was then shifted to the actual response to achieve its true resistivity level. The results obtained from ρA and ρT shifts yielded RMS values of <11.3 and <8.1 respectively.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	A Rahman, Muhammad Nazrin
author_facet	A Rahman, Muhammad Nazrin
author_sort	A Rahman, Muhammad Nazrin
title	Novel Approach In Static Shift Correction For Magnetotellurics Data Using 2d Electrical Resistivity Imaging
title_short	Novel Approach In Static Shift Correction For Magnetotellurics Data Using 2d Electrical Resistivity Imaging
title_full	Novel Approach In Static Shift Correction For Magnetotellurics Data Using 2d Electrical Resistivity Imaging
title_fullStr	Novel Approach In Static Shift Correction For Magnetotellurics Data Using 2d Electrical Resistivity Imaging
title_full_unstemmed	Novel Approach In Static Shift Correction For Magnetotellurics Data Using 2d Electrical Resistivity Imaging
title_sort	novel approach in static shift correction for magnetotellurics data using 2d electrical resistivity imaging
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Fizik
publishDate	2022
url	http://eprints.usm.my/59761/1/MUHAMMAD%20NAZRIN%20BIN%20A%20RAHMAN%20-%20tesis24.pdf
_version_	1794024051047399424

Novel Approach In Static Shift Correction For Magnetotellurics Data Using 2d Electrical Resistivity Imaging

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