1887

Abstract

Summary

Surface electrical resistivity tomography is a widely used tool to map the subsurface. One of its limitations is the decrease in resolution as depth increases. Another limitation is that the electrodes planted on the surface can be heavily influenced by temperature, weather, and water saturation changes over time. Consequently, the data can be easily contaminated by noise and therefore, unreliable for long term monitoring. Borehole DC electrical surveying allows to extend the anomaly detection capability beyond the limits of surface electric surveying. Even more, with two wells, the cross-hole DC electrical surveying provides detailed information on the variation of electrical resistivity between the boreholes, but just in a very limited zone near them. The implementation of borehole to surface electrical resistivity tomography allows to reduce this limitation. Such an arrangement is expected to provide an increase in detection capability in the area in-between the boreholes and surface. In the present work we studied the feasibility of surface-downhole measurements to detect and estimate the dimensions of a contamination plume in a deep aquifer, performing a physical model at laboratory scale. We conclude that the detection and consequently the monitoring of contaminated deep aquifers with two wells using surface-downhole ERT is possible.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202120177
2021-08-29
2024-03-29
Loading full text...

Full text loading...

References

  1. Bergmann, P., Schmidt-Hattenberger, C., Kiessling, D., Rücker, C., Labitzke, T., Henninges, J., Baumann, G. and Schütt, H.
    [2012] Surface-downhole electrical resistivity tomography applied to monitoring of CO2 storage at Ketzin Germany. Geophysics, 77, B253–B267.
    [Google Scholar]
  2. Bevc, D. and MorrisonH. F.
    [1991] Borehole-to-surface electrical resistivity monitoring of a salt water injection experiment. Geophysics, 56, 769–777.
    [Google Scholar]
  3. Bongiovanni, M.V., Grünhut, V., Osella, A. and Tichno, A.
    [2015] Numerical simulation of surface-downhole geoelectrical measurements in or-der to detect brine plumes. Journal Of Applied Geophysics, 116, 215–223.
    [Google Scholar]
  4. Daniels, J.
    [1983] Hole-to-surface resistivity measurements. Geophysics, 48(1), 87–97.
    [Google Scholar]
  5. de la Vega, M., Bongiovanni, M. V. and Osella, A.
    [2019]. Modular resistivity device for physical model studies. Conference Proceedings, 25th European Meeting of Environmental and Engineering Geophysics, The Hague, The Netherlands, 1–5.
    [Google Scholar]
  6. Grünhut, V., Bongiovanni, M.V. and Osella, A.
    [2018]. Using surface-downhole ERT for detecting contaminants in deep aquifers due to exploitation of oil reservoirs. Near Surface Geophysics, 16, 559–571.
    [Google Scholar]
  7. He, J.
    [2018]. Combined Application of Wide-Field Electromagnetic Method and Flow Field Fitting Method for High-Resolution Exploration: A Case Study of the Anjialing No. 1 Coal Mine. Engineering, 4, pp. 667–675.
    [Google Scholar]
  8. Kiessling, D., Schmidt-Hattenberger, C. Schuett, H., Schilling, F., Krueger, K., Schoebel, B., DanckwardtE. Kummerow, J., theCO2SINK Group
    . [2010]. Geoelectrical methods for monitoring geological CO2 storage: First results from cross-hole and surface—downhole measurements from the CO2SINK test site at Ketzin (Germany). International Journal of Greenhouse Gas Control, 4, 816–826.
    [Google Scholar]
  9. LaBrecque, D. J., Ramirez, A. L., Daily, W. D., Binley, A. M., Schima, S. A.
    [1996]. ERT monitoring of environmental remediation processes. Measurement Science and Technology, 7(3), 375–383.
    [Google Scholar]
  10. Loke, M. H., and Barker, R. D.
    [1996] Rapid least-squares inversion of apparent resistivity pseudosections by a quasi-Newton method. Geophysical Prospection, 44, 499–523.
    [Google Scholar]
  11. Picotti, S., Gei, D., Carcione, J. M., Grünhut, V., and Osella, A.
    [2013]. Sensitivity analysis from single-well ERT simulations to image CO2migrations along wellbores. The Leading Edge, 32(5), 504–512.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202120177
Loading
/content/papers/10.3997/2214-4609.202120177
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error