Cargando…
Computation of Analytical Derivatives for Airborne TEM Inversion Using a Cole–Cole Parameterization Based on the Current Waveform of the Transmitter
Airborne transient electromagnetic (ATEM) technology is a technique often used in mineral exploration and geological mapping. Due to inductive polarization (IP) phenomena, the ATEM response curve often shows a negative response or declines rapidly to the attenuation curve. Traditional resistivity in...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823387/ https://www.ncbi.nlm.nih.gov/pubmed/36617037 http://dx.doi.org/10.3390/s23010439 |
_version_ | 1784866147052552192 |
---|---|
author | Lei, Da Ren, Hao Fu, Changmin Wang, Zhongxing Zhen, Qihui |
author_facet | Lei, Da Ren, Hao Fu, Changmin Wang, Zhongxing Zhen, Qihui |
author_sort | Lei, Da |
collection | PubMed |
description | Airborne transient electromagnetic (ATEM) technology is a technique often used in mineral exploration and geological mapping. Due to inductive polarization (IP) phenomena, the ATEM response curve often shows a negative response or declines rapidly to the attenuation curve. Traditional resistivity inversion techniques do not explain the IP response of a signal well, so the negative response is usually removed during data processing, resulting in a reduced correctness and authenticity of the findings. In this paper, in the parameter inversion based on the Cole–Cole model, the Jacobian matrix chain analysis method is used to calculate, and the current waveform calculation is also considered in the inversion. The results show that compared with the perturbation method, the analysis technique can greatly reduce the calculation time and improve the inversion efficiency. In the single-point one-dimensional inversion and lateral constraint quasi-two-dimensional inversion, the Cole–Cole four-parameter forward response has strong inversion accuracy, which can successfully invert the actual exploration content and the Cole–Cole four-parameter response. Some measured sounding data in the Qingchengzi survey area of Liaoning Province, China have a negative response to IP, and the resistivity scheme cannot be used alone for inversion, but the real underground resistivity structure can be obtained through the method studied in this paper, and good exploration results can be obtained. |
format | Online Article Text |
id | pubmed-9823387 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98233872023-01-08 Computation of Analytical Derivatives for Airborne TEM Inversion Using a Cole–Cole Parameterization Based on the Current Waveform of the Transmitter Lei, Da Ren, Hao Fu, Changmin Wang, Zhongxing Zhen, Qihui Sensors (Basel) Article Airborne transient electromagnetic (ATEM) technology is a technique often used in mineral exploration and geological mapping. Due to inductive polarization (IP) phenomena, the ATEM response curve often shows a negative response or declines rapidly to the attenuation curve. Traditional resistivity inversion techniques do not explain the IP response of a signal well, so the negative response is usually removed during data processing, resulting in a reduced correctness and authenticity of the findings. In this paper, in the parameter inversion based on the Cole–Cole model, the Jacobian matrix chain analysis method is used to calculate, and the current waveform calculation is also considered in the inversion. The results show that compared with the perturbation method, the analysis technique can greatly reduce the calculation time and improve the inversion efficiency. In the single-point one-dimensional inversion and lateral constraint quasi-two-dimensional inversion, the Cole–Cole four-parameter forward response has strong inversion accuracy, which can successfully invert the actual exploration content and the Cole–Cole four-parameter response. Some measured sounding data in the Qingchengzi survey area of Liaoning Province, China have a negative response to IP, and the resistivity scheme cannot be used alone for inversion, but the real underground resistivity structure can be obtained through the method studied in this paper, and good exploration results can be obtained. MDPI 2022-12-31 /pmc/articles/PMC9823387/ /pubmed/36617037 http://dx.doi.org/10.3390/s23010439 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lei, Da Ren, Hao Fu, Changmin Wang, Zhongxing Zhen, Qihui Computation of Analytical Derivatives for Airborne TEM Inversion Using a Cole–Cole Parameterization Based on the Current Waveform of the Transmitter |
title | Computation of Analytical Derivatives for Airborne TEM Inversion Using a Cole–Cole Parameterization Based on the Current Waveform of the Transmitter |
title_full | Computation of Analytical Derivatives for Airborne TEM Inversion Using a Cole–Cole Parameterization Based on the Current Waveform of the Transmitter |
title_fullStr | Computation of Analytical Derivatives for Airborne TEM Inversion Using a Cole–Cole Parameterization Based on the Current Waveform of the Transmitter |
title_full_unstemmed | Computation of Analytical Derivatives for Airborne TEM Inversion Using a Cole–Cole Parameterization Based on the Current Waveform of the Transmitter |
title_short | Computation of Analytical Derivatives for Airborne TEM Inversion Using a Cole–Cole Parameterization Based on the Current Waveform of the Transmitter |
title_sort | computation of analytical derivatives for airborne tem inversion using a cole–cole parameterization based on the current waveform of the transmitter |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9823387/ https://www.ncbi.nlm.nih.gov/pubmed/36617037 http://dx.doi.org/10.3390/s23010439 |
work_keys_str_mv | AT leida computationofanalyticalderivativesforairborneteminversionusingacolecoleparameterizationbasedonthecurrentwaveformofthetransmitter AT renhao computationofanalyticalderivativesforairborneteminversionusingacolecoleparameterizationbasedonthecurrentwaveformofthetransmitter AT fuchangmin computationofanalyticalderivativesforairborneteminversionusingacolecoleparameterizationbasedonthecurrentwaveformofthetransmitter AT wangzhongxing computationofanalyticalderivativesforairborneteminversionusingacolecoleparameterizationbasedonthecurrentwaveformofthetransmitter AT zhenqihui computationofanalyticalderivativesforairborneteminversionusingacolecoleparameterizationbasedonthecurrentwaveformofthetransmitter |