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10 years of temperature monitoring experiments using electrical resistivity tomography : what have we learned?

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Abstract
The electrical resistivity of the subsurface is dependent on the temperature. This makes electrical resistivity tomography a good candidate for monitoring temperature variations within the context of aquifer thermal energy storage. In this contribution, we review the advances made in the development of ERT for monitoring heat storage and heat tracing experiments during the last ten years. We highlight the common limitations related to ERT such as the need for a petrophysical relationship for a proper survey design, as well as the concerns related to noise and inversion. We also point towards the solutions available to overcome those limitations and guidelines for successful monitoring experiments. We think this contribution will help practitioners and scientists to make the appropriate choice when designing or exploiting shallow geothermal systems.

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Please use this url to cite or link to this publication:

MLA
Hermans, Thomas, et al. “10 Years of Temperature Monitoring Experiments Using Electrical Resistivity Tomography : What Have We Learned?” Near Surface Geoscience Conference and Exhibition 2019, EAGE, 2019.
APA
Hermans, T., Nguyen, F., De Schepper, G., Lesparre, N., & Robert, T. (2019). 10 years of temperature monitoring experiments using electrical resistivity tomography : what have we learned? In Near Surface Geoscience conference and exhibition 2019. The Hague, The Netherlands: EAGE.
Chicago author-date
Hermans, Thomas, Frédéric Nguyen, Guillaume De Schepper, Nolwenn Lesparre, and Tanguy Robert. 2019. “10 Years of Temperature Monitoring Experiments Using Electrical Resistivity Tomography : What Have We Learned?” In Near Surface Geoscience Conference and Exhibition 2019. EAGE.
Chicago author-date (all authors)
Hermans, Thomas, Frédéric Nguyen, Guillaume De Schepper, Nolwenn Lesparre, and Tanguy Robert. 2019. “10 Years of Temperature Monitoring Experiments Using Electrical Resistivity Tomography : What Have We Learned?” In Near Surface Geoscience Conference and Exhibition 2019. EAGE.
Vancouver
1.
Hermans T, Nguyen F, De Schepper G, Lesparre N, Robert T. 10 years of temperature monitoring experiments using electrical resistivity tomography : what have we learned? In: Near Surface Geoscience conference and exhibition 2019. EAGE; 2019.
IEEE
[1]
T. Hermans, F. Nguyen, G. De Schepper, N. Lesparre, and T. Robert, “10 years of temperature monitoring experiments using electrical resistivity tomography : what have we learned?,” in Near Surface Geoscience conference and exhibition 2019, The Hague, The Netherlands, 2019.
@inproceedings{8629646,
  abstract     = {The electrical resistivity of the subsurface is dependent on the temperature. This makes electrical resistivity tomography a good candidate for monitoring temperature variations within the context of aquifer thermal energy storage. In this contribution, we review the advances made in the development of ERT for monitoring heat storage and heat tracing experiments during the last ten years. We highlight the common limitations related to ERT such as the need for a petrophysical relationship for a proper survey design, as well as the concerns related to noise and inversion. We also point towards the solutions available to overcome those limitations and guidelines for successful monitoring experiments. We think this contribution will help practitioners and scientists to make the appropriate choice when designing or exploiting shallow geothermal systems.},
  author       = {Hermans, Thomas and Nguyen, Frédéric and De Schepper, Guillaume and Lesparre, Nolwenn and Robert, Tanguy},
  booktitle    = {Near Surface Geoscience conference and exhibition 2019},
  language     = {eng},
  location     = {The Hague, The Netherlands},
  pages        = {5},
  publisher    = {EAGE},
  title        = {10 years of temperature monitoring experiments using electrical resistivity tomography : what have we learned?},
  url          = {http://dx.doi.org/10.3997/2214-4609.201902510},
  year         = {2019},
}

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