1887

Abstract

Summary

It is well-known that considering appropriate estimations of geoelectrical data errors improves inversion results, especially in the presence of data with atypical values. In these cases, other option is to apply some procedure for removing the outliers from the datasets, and then perform inversions without considering data errors. However, these data are not always easily identifiable.

In this work, we present four numerical methods for estimating data errors, alternative to reciprocal measurements. They are based on the analysis of the differences among the data corresponding to neighboring measurement points. They are computationally cheap, and present two important advantages: they do not increase survey times because they do not require any additional measurements, and they can be used with any electrode configuration. Using a representative experimental example, we demonstrate their effectiveness for reducing the effects of outlier data on the inversion results. The subsoil models obtained considering the proposed error estimations are, in general, similar to that obtained considering the errors estimated from direct and reciprocal measurements. These models are also in agreement with the results obtained without considering data errors, after removing the outlier data.

The formulations presented are 2D, but can easily be generalized to three dimensions.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201902415
2019-09-08
2024-03-28
Loading full text...

Full text loading...

References

  1. Loke, M.H. and Barker, R.D.
    [1996] Rapid least-squares inversion of apparent resistivity pseudosections by quasi-Nexton method. Geophysical Prospecting, 44, 131–152.
    [Google Scholar]
  2. Loke, M.H., Chambers, J.E., Rucker, D.F., Kuras, O. and Wilkinson, P.B.
    [2013] Recent developments in the direct-current geoelectrical imaging method. Journal of Applied Geophysics, 95, 135–156.
    [Google Scholar]
  3. Osella, A., Martinelli, P., Grunhut, V., de La Vega, M., Bonomo, N. and Weissel, M.
    [2015] Electrical imaging for localizing historical tunnels at an urban environment. Journal of Geophysics and Engineering, 12, 674–685.
    [Google Scholar]
  4. Parasnis, D.S.
    [1988] Reciprocity theorems in geoelectric and geoelectromagnetic work, Geoexploration, 25, 177–198.
    [Google Scholar]
  5. ParkS.K. and VanG.P.
    [1991] Inversion of pole-pole data for 3-D resistivity structure beneath arrays of electrodes. Geophysics, 56, 951–960.
    [Google Scholar]
  6. Zhou, B. and Dahlin, T.
    [2003] Properties and effects of measurement errors on 2D resistivity imaging surveying. Near Surface Geophysics, 1(3), 105–117.
    [Google Scholar]
  7. Osella, A., Martinelli, P., Grunhut, V., de La Vega, M., Bonomo, N. and Weissel, M.
    [2015] Electrical imaging for localizing historical tunnels at an urban environment. Journal of Geophysics and Engineering, 12, 674–685.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201902415
Loading
/content/papers/10.3997/2214-4609.201902415
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