Groundwater Mapping and Modeling Using Towed Transient Electromagnetic Data Based on Deep Learning

The capturing subsurface structure through geophysical measurements can gain a more comprehensive understanding of groundwater distribution. While geophysical electromagnetic methods yield subsurface resistivity data, converting this into hydrological information is not straightforward. Well-logging...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 2025, Vol.63, p.1-12
Hauptverfasser:	Xian, Jinchi, He, Ziang, Hu, Xiangyun, Liu, Lichao, Auken, Esben, Revil, Andre, Cai, Hongzhu
Format:	Artikel
Sprache:	eng
Schlagworte:	Conductivity Data models Deep learning depth-of-investigation (DOI) constraint Electromagnetics hydrogeophysical modeling Interpolation Meters Rocks Splines (mathematics) Surface treatment Surveys towed transient electromagnetic (tTEM) inversion Transient analysis
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