Improving deep groundwater aquifer characterization with deep learning inversion of audio-frequency magnetotelluric data-Reference-Cited by-同舟云学术

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Improving deep groundwater aquifer characterization with deep learning inversion of audio-frequency magnetotelluric data

Published:2024-08 Issue: Volume:640 Page:131680
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Chen Hang^ORCID,Ren Zhengyong,Liu Jianxin,Liu Zhengguang,Guo Rongwen,Wang Yongfei,He Dongdong

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference72 articles.

1. Pilot points method incorporating prior information for solving the groundwater flow inverse problem;Alcolea;Adv. Water Resour.,2006

2. Field study of hydrogeologic characterization methods in a heterogeneous aquifer;Alexander;Groundwater,2011

3. The electrical resistivity log as an aid in determining some reservoir characteristics;Archie;Petroleum Transactions of AIME.,1942

4. Deep Groundwater Survey with Audio-Magnetotelluric Soundings;Bernard,1990

5. Developing a soil column system to measure hydrogeophysical properties of unconsolidated sediment;Bienvenue;Vadose Zone J.,2022

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