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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Autores principales: Martinelli, H.P., Robledo, F.E., BRGM; et al.; INRA; IPGP; IRIS Instruments; Veolia Environment
Formato: CONF
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: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 todo:paper_NIS13062_v_n_p_Martinelli
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spelling todo:paper_NIS13062_v_n_p_Martinelli2023-10-03T16:45:54Z Estimation of data errors for small-loop EM induction systems and how considering them improves 1D inversion results Martinelli, H.P. Robledo, F.E. BRGM; et al.; INRA; IPGP; IRIS Instruments; Veolia Environment 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. CONF info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar 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, H.P.
Robledo, F.E.
BRGM; et al.; INRA; IPGP; IRIS Instruments; Veolia Environment
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.
format CONF
author Martinelli, H.P.
Robledo, F.E.
BRGM; et al.; INRA; IPGP; IRIS Instruments; Veolia Environment
author_facet Martinelli, H.P.
Robledo, F.E.
BRGM; et al.; INRA; IPGP; IRIS Instruments; Veolia Environment
author_sort Martinelli, H.P.
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
url http://hdl.handle.net/20.500.12110/paper_NIS13062_v_n_p_Martinelli
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AT robledofe estimationofdataerrorsforsmallloopeminductionsystemsandhowconsideringthemimproves1dinversionresults
AT brgmetalinraipgpirisinstrumentsveoliaenvironment estimationofdataerrorsforsmallloopeminductionsystemsandhowconsideringthemimproves1dinversionresults
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