Estimation of data errors for small-loop EM induction systems and how considering them improves 1D inversion results

Small-loop, multi-frequency electromagnetic induction systems (SLEM) are a usual tool for investigating the electrical conductivity and magnetic permeability of the subsurface, up to some tens of meters deep. The data, the in-phase (IP) and quadrature (Q) components of the induced magnetic field, ar...

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Autor principal:	Martinelli, Hilda Patricia
Publicado:	2012
Materias:	Electromagnetic induction Estimation Geology Magnetic permeability Direct observations Electrical conductivity Error estimates Induced magnetic fields Induction system Intermediate frequencies Multi frequency Subsurface images Errors
Acceso en línea:	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS13062_v_n_p_Martinelli http://hdl.handle.net/20.500.12110/paper_NIS13062_v_n_p_Martinelli
Aporte de:	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

id	paper:paper_NIS13062_v_n_p_Martinelli
record_format	dspace
spelling	paper:paper_NIS13062_v_n_p_Martinelli2023-06-08T16:39:37Z Estimation of data errors for small-loop EM induction systems and how considering them improves 1D inversion results Martinelli, Hilda Patricia Electromagnetic induction Estimation Geology Magnetic permeability Direct observations Electrical conductivity Error estimates Induced magnetic fields Induction system Intermediate frequencies Multi frequency Subsurface images Errors Small-loop, multi-frequency electromagnetic induction systems (SLEM) are a usual tool for investigating the electrical conductivity and magnetic permeability of the subsurface, up to some tens of meters deep. The data, the in-phase (IP) and quadrature (Q) components of the induced magnetic field, are interpreted by direct observation of the plan views of the responses obtained at each frequency, or by applying 1D inversion methods. Although these systems are really fast, they do not provide data errors. We applied a methodology to estimate these errors in a particular field example, for different system orientations, finding that, regardless of the system orientation, the errors of IP rapidly increase as frequency decreases and are generally much greater than the errors of Q. Though the errors usually increase with decreasing frequency, there can be especially noisy intermediate frequencies. Another important result is that even repeating an acquisition line only three times, good error estimates can be obtained. This could be easily done in field surveys and would be very useful, considering that we also found that including some information about data errors in the 1D inversions, effectively improves the quality of the obtained subsurface images. Fil:Martinelli, H.P. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2012 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS13062_v_n_p_Martinelli http://hdl.handle.net/20.500.12110/paper_NIS13062_v_n_p_Martinelli
institution	Universidad de Buenos Aires
institution_str	I-28
repository_str	R-134
collection	Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic	Electromagnetic induction Estimation Geology Magnetic permeability Direct observations Electrical conductivity Error estimates Induced magnetic fields Induction system Intermediate frequencies Multi frequency Subsurface images Errors
spellingShingle	Electromagnetic induction Estimation Geology Magnetic permeability Direct observations Electrical conductivity Error estimates Induced magnetic fields Induction system Intermediate frequencies Multi frequency Subsurface images Errors Martinelli, Hilda Patricia Estimation of data errors for small-loop EM induction systems and how considering them improves 1D inversion results
topic_facet	Electromagnetic induction Estimation Geology Magnetic permeability Direct observations Electrical conductivity Error estimates Induced magnetic fields Induction system Intermediate frequencies Multi frequency Subsurface images Errors
description	Small-loop, multi-frequency electromagnetic induction systems (SLEM) are a usual tool for investigating the electrical conductivity and magnetic permeability of the subsurface, up to some tens of meters deep. The data, the in-phase (IP) and quadrature (Q) components of the induced magnetic field, are interpreted by direct observation of the plan views of the responses obtained at each frequency, or by applying 1D inversion methods. Although these systems are really fast, they do not provide data errors. We applied a methodology to estimate these errors in a particular field example, for different system orientations, finding that, regardless of the system orientation, the errors of IP rapidly increase as frequency decreases and are generally much greater than the errors of Q. Though the errors usually increase with decreasing frequency, there can be especially noisy intermediate frequencies. Another important result is that even repeating an acquisition line only three times, good error estimates can be obtained. This could be easily done in field surveys and would be very useful, considering that we also found that including some information about data errors in the 1D inversions, effectively improves the quality of the obtained subsurface images.
author	Martinelli, Hilda Patricia
author_facet	Martinelli, Hilda Patricia
author_sort	Martinelli, Hilda Patricia
title	Estimation of data errors for small-loop EM induction systems and how considering them improves 1D inversion results
title_short	Estimation of data errors for small-loop EM induction systems and how considering them improves 1D inversion results
title_full	Estimation of data errors for small-loop EM induction systems and how considering them improves 1D inversion results
title_fullStr	Estimation of data errors for small-loop EM induction systems and how considering them improves 1D inversion results
title_full_unstemmed	Estimation of data errors for small-loop EM induction systems and how considering them improves 1D inversion results
title_sort	estimation of data errors for small-loop em induction systems and how considering them improves 1d inversion results
publishDate	2012
url	https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_NIS13062_v_n_p_Martinelli http://hdl.handle.net/20.500.12110/paper_NIS13062_v_n_p_Martinelli
work_keys_str_mv	AT martinellihildapatricia estimationofdataerrorsforsmallloopeminductionsystemsandhowconsideringthemimproves1dinversionresults
_version_	1769175823139471360

Estimation of data errors for small-loop EM induction systems and how considering them improves 1D inversion results

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