Advancing CO<sub>2</sub> Storage Monitoring via Cross-Borehole Apparent Resistivity Imaging Simulation-Reference-Cited by-同舟云学术

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Advancing CO₂ Storage Monitoring via Cross-Borehole Apparent Resistivity Imaging Simulation

Published:2023 Issue: Volume:61 Page:1-12
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Yu Nian¹^ORCID,Liu Hanghang¹,Feng Xiao²,Li Tianyang³^ORCID,Du Bingrui⁴,Wang Chenguang³,Wang Wuji¹,Kong Wenxin³^ORCID

Affiliation:

1. School of Electrical Engineering, Chongqing University, Chongqing, China

2. School of Economics and Business Administration, Chongqing University, Chongqing, China

3. School of Resources and Safety Engineering, Chongqing University, Chongqing, China

4. Institute of Geophysical and Geochemical Exploration, Chinese Academy of Geological Sciences, Langfang, China

Funder

National Natural Science Foundation of China

Science Foundation of Chongqing

National Nonprofit Institute Research Grant of IGGE

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/36/10006360/10313337.pdf?arnumber=10313337

Reference42 articles.

1. Implication of Electrical Resistivity Tomography for Precise Demarcation of Pothole Subsidence Potential Zone Over Shallow Depth Coal Mine Workings

2. Electrical Resistivity Tomography: A Subsurface-Imaging Technique

3. Satellite, UAV, and Geophysical Data to Identify Surface and Subsurface Hydrodynamics of Geographically Isolated Wetlands: Understanding an Undervalued Ecosystem at the Atlantic Forest-Cerrado Interface of Brazil

4. Jacobian-free Newton–Krylov methods: a survey of approaches and applications

5. Assessment of sinkhole hazard in the area of shallow mining workings using electrical resistivity tomography;?ciga?a;Energies,2021

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1. Fast Initial Model Design for Electrical Resistivity Inversion by Using Broad Learning Framework;Minerals;2024-02-09

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