Study of the Impact of Acquisition Parameters on Fault Feature Identification Based on Magnetotelluric Modeling

The electromagnetic method is widely used in mineral exploration, geothermal resource exploration, and deep earth structure detection. To improve the resolution and positioning accuracy of magnetotelluric surveys for targets beneath cover, it is essential to utilize forward modeling. This approach allows for a better understanding of the capabilities and limitations of MT in resolving features of different scales. In this paper, we employ forward modeling using the finite element method to simulate a series of continuous fault zones ranging from 100 m to 400 m in width, with varying lengths and dips. These fault zones represent conductive fluid pathways that could be associated with different scales and depths. The forward modeling provides the necessary data and method testing to assess the effectiveness of MT surveys in identifying and resolving such features. Our findings demonstrate that a station spacing of 400 m is optimal for resolving fault zones of various widths. For narrower faults (approximately 100 m), extending the survey line to 12 km or more significantly improves the deep structural inversion of the bounding faults, while an 8 km survey line suffices for wider faults (400 m). However, the vertical extent of these features is less well constrained, with deeper faults appearing broader and inversion depths being notably shallower than actual depths. These results highlight the need for careful interpretation of inversion anomalies, especially when supplementary data from other geophysical methods are lacking. Misinterpretation can lead to inaccurate resource assessments and exploration potential.

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Publication Details

Journal
Applied Sciences
Published
2024-10-24
DOI
https://doi.org/10.3390/app14219720
Citations
1
Primary Topic
Geophysical and Geoelectrical Methods
Type
article
Field-Weighted Citation Impact
0.53

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article

Study of the Impact of Acquisition Parameters on Fault Feature Identification Based on Magnetotelluric Modeling

Fajian Nie, Hui Zhang
1 citations
Applied Sciences
Geophysical and Geoelectrical Methods
0.53
article

Study of the Impact of Acquisition Parameters on Fault Feature Identification Based on Magnetotelluric Modeling

Fajian Nie, Hui Zhang
article en
1 citations

Abstract

The electromagnetic method is widely used in mineral exploration, geothermal resource exploration, and deep earth structure detection. To improve the resolution and positioning accuracy of magnetotelluric surveys for targets beneath cover, it is essential to utilize forward modeling. This approach allows for a better understanding of the capabilities and limitations of MT in resolving features of different scales. In this paper, we employ forward modeling using the finite element method to simulate a series of continuous fault zones ranging from 100 m to 400 m in width, with varying lengths and dips. These fault zones represent conductive fluid pathways that could be associated with different scales and depths. The forward modeling provides the necessary data and method testing to assess the effectiveness of MT surveys in identifying and resolving such features. Our findings demonstrate that a station spacing of 400 m is optimal for resolving fault zones of various widths. For narrower faults (approximately 100 m), extending the survey line to 12 km or more significantly improves the deep structural inversion of the bounding faults, while an 8 km survey line suffices for wider faults (400 m). However, the vertical extent of these features is less well constrained, with deeper faults appearing broader and inversion depths being notably shallower than actual depths. These results highlight the need for careful interpretation of inversion anomalies, especially when supplementary data from other geophysical methods are lacking. Misinterpretation can lead to inaccurate resource assessments and exploration potential.

Applied SciencesVol. 14(21)
Yangtze University (CN), North China University of Water Resources and Electric Power (CN)
North China University of Water Resources and Electric Power
Decent work and economic growth
Openalex Percentile: Top 33%
Geophysical and Geoelectrical Methods
0.53
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Study of the Impact of Acquisition Parameters on Fault Feature Identification Based on Magnetotelluric Modeling — Fajian Nie, Hui Zhang · Applied Sciences (2024) | TGRS Research Map | TGRS