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Title: Evaluation of inert tracers in a bedrock fracture using ground penetrating radar and thermal sensors

Authors:
; ;
Publication Date:
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE), Office of Technology Development (EE-20)
OSTI Identifier:
1413858
Grant/Contract Number:
EE0006764; EE0002767
Resource Type:
Journal Article: Publisher's Accepted Manuscript
Journal Name:
Geothermics
Additional Journal Information:
Journal Volume: 67; Journal Issue: C; Related Information: CHORUS Timestamp: 2017-12-18 19:33:20; Journal ID: ISSN 0375-6505
Publisher:
Elsevier
Country of Publication:
United Kingdom
Language:
English

Citation Formats

Hawkins, Adam J., Becker, Matthew W., and Tsoflias, Georgios P. Evaluation of inert tracers in a bedrock fracture using ground penetrating radar and thermal sensors. United Kingdom: N. p., 2017. Web. doi:10.1016/j.geothermics.2017.01.006.
Hawkins, Adam J., Becker, Matthew W., & Tsoflias, Georgios P. Evaluation of inert tracers in a bedrock fracture using ground penetrating radar and thermal sensors. United Kingdom. doi:10.1016/j.geothermics.2017.01.006.
Hawkins, Adam J., Becker, Matthew W., and Tsoflias, Georgios P. 2017. "Evaluation of inert tracers in a bedrock fracture using ground penetrating radar and thermal sensors". United Kingdom. doi:10.1016/j.geothermics.2017.01.006.
@article{osti_1413858,
title = {Evaluation of inert tracers in a bedrock fracture using ground penetrating radar and thermal sensors},
author = {Hawkins, Adam J. and Becker, Matthew W. and Tsoflias, Georgios P.},
abstractNote = {},
doi = {10.1016/j.geothermics.2017.01.006},
journal = {Geothermics},
number = C,
volume = 67,
place = {United Kingdom},
year = 2017,
month = 5
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record at 10.1016/j.geothermics.2017.01.006

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  • The work considers the depth evaluation of ground penetrating radar (GPR) surveys using the attenuation factor of electromagnetic radiation in a medium. A method of determining the attenuation factor of low-conductive non-magnetic soils is developed based on the results of direct measurements of permittivity and conductivity of soils in the range of typical frequencies of GPR. The method relies on measuring the shift and width of the resonance line after a soil sample is being placed into a tunable cavity resonator. The advantage of this method is the preservation of soil structure during the measurement.
  • Ground-penetrating radar (GPR) is capable of accurately pinpointing buried natural gas distribution piping leaks without barholes. The dry leaking gas can be seen' at the source by the radar via the changes in the surrounding soil's electrical parameters. A colorgraphic data format then displays the leak.
  • Methods for estimating the parameter distributions necessary for modeling fluid flow and contaminant transport in the shallow subsurface are in great demand. Soil properties such as permeability, porosity, and water retention are typically estimated through the inversion of hydrological data (e.g., measurements of capillary pressure and water saturation). However, ill-posedness and non-uniqueness commonly arise in such non-linear inverse problems making their solutions elusive. Incorporating additional types of data, such as from geophysical methods, may greatly improve the success of inverse modeling. In particular, ground-penetrating radar (GPR) methods have proven sensitive to subsurface fluid flow processes and appear promising for suchmore » applications. In the present work, an inverse technique is presented which allows for the estimation of flow parameter distributions and the prediction of flow phenomena using GPR and hydrological measurements collected during a transient flow experiment. Specifically, concepts from the pilot point method were implemented in a maximum a posteriori (MAP) framework to allow for the generation of permeability distributions that are conditional to permeability point measurements, that maintain specified patterns of spatial correlation, and that are consistent with geophysical and hydrological data. The current implementation of the approach allows for additional flow parameters to be estimated concurrently if they are assumed uniform and uncorrelated with the permeability distribution. (The method itself allows for heterogeneity in these parameters to be considered, and it allows for parameters of the petrophysical and semivariogram models to be estimated as well.) Through a synthetic example, performance of the method is evaluated under various conditions, and some conclusions are made regarding the joint use of transient GPR and hydrological measurements in estimating fluid flow parameters in the vadose zone.« less
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