Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework-Reference-Cited by-同舟云学术

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Comparing Well and Geophysical Data for Temperature Monitoring Within a Bayesian Experimental Design Framework

Published:2022-10-28 Issue:11 Volume:58 Page:
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resources Research

Author:

Thibaut Robin¹^ORCID,Compaire Nicolas²^ORCID,Lesparre Nolwenn³^ORCID,Ramgraber Maximilian⁴^ORCID,Laloy Eric⁵^ORCID,Hermans Thomas¹^ORCID

Affiliation:

1. Laboratory for Applied Geology and Hydrogeology, Department of Geology Ghent University Ghent Belgium

2. Institut des Sciences de la Terre Université Grenoble Alpes Gières France

3. Institut Terre et Environnement de Strasbourg Université de Strasbourg Strasbourg France

4. Massachusetts Institute of Technology Cambridge MA USA

5. SCK CEN Mol Belgium

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2022WR033045

Reference93 articles.

1. Geophysical monitoring for shallow geothermal applications – two Italian case histories

2. A Monte Carlo-based framework for assessing the value of information and development risk in geothermal exploration

3. Goal-oriented optimal design of experiments for large-scale Bayesian linear inverse problems

4. Imaging subsurface migration of dissolved CO2 in a shallow aquifer using 3-D time-lapse electrical resistivity tomography

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