Inverse wavefield transform of vertical magnetic component of loop-source TEM data over coalfield strata: a case study in Inner Mongolia, China

The transient electromagnetic method (TEM) is an effective and efficient tool that can be used to map the subsurface distribution of electric conductivity. To highlight the subsurface conductivity contrasts, inverse wavefield transform has been proposed and applied to provide reflection events from...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:Journal of geophysics and engineering Ročník 22; číslo 1; s. 193 - 204
Hlavní autori: Guo, Jianlei, Fan, Kerui, Li, Wenhan, Xue, Junjie, Lu, Kailiang, Qi, Zhipeng, Li, Xiu
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: London Oxford University Press 01.02.2025
Predmet:
Algorithms
Case studies
Geological surveys
China
Inner Mongolia China
self-adaptive algorithm
case history and coal field
transient electromagnetic method
inverse wavefield transform
ISSN:1742-2132, 1742-2140
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí:The transient electromagnetic method (TEM) is an effective and efficient tool that can be used to map the subsurface distribution of electric conductivity. To highlight the subsurface conductivity contrasts, inverse wavefield transform has been proposed and applied to provide reflection events from geo-electric interfaces similar to those in the wavefield reflection methods. In this paper we present a case study of inverse wavefield transform for loop-source TEM data. The TEM survey site is located in a coal field in Inner Mongolia, China. Previous geological surveys and TEM data inversion had already confirmed that, within the depth of 800 m, the subsurface structure of conductivity is layered and smooth. The numerical and field data were transformed by a self-adapted algorithm of inverse wavefield transform. The reflection events were observed as expected in the pseudo-wavefield wavefield traces transformed from the numerical and field data. The data misfit between the fitted data (recovered from the transformed pseudo-wavefield) and the field (or numerical) data was smaller than 15% for the 720 × 720 m loop used in our case. Finally, numerical and field cases with detailed discussion are presented to illustrate that the algorithm and results of our inverse wavefield transform are physically rational and numerically accurate.
Bibliografia:ObjectType-Case Study-2
SourceType-Scholarly Journals-1
content type line 14
ObjectType-Feature-4
ObjectType-Report-1
ObjectType-Article-3
ISSN:1742-2132
1742-2140
DOI:10.1093/jge/gxae126