An approach to improve the resolution of vertical electrical sounding data
  • Affiliations:

    Faculty of Oil and Gas, Hanoi University of Mining and Geology, Vietnam

  • *Corresponding:
    This email address is being protected from spambots. You need JavaScript enabled to view it.
  • Received: 17th-Feb-2018
  • Revised: 19th-Apr-2018
  • Accepted: 29th-June-2018
  • Online: 29th-June-2018
Views: 1542
Downloads: 674
Rating: 5.0, Total rating: 67
Yours rating


Vertical electrical sounding has proved its efficiency in mineral exploration, geotechnical prospecting, environment and hydrogeology. With the widespread application of this method, there have been a lot of researches of data processing and interpretation. In this paper, we describe our approach to improve the resolution of vertical electrical sounding data, followed by comparing it to the so-called “N-transformation” method. The mean sensitivity depth was applied to evaluate the investigation depth, and several simple mathematical formulas to transform apparent resistivity was used to get the transformed curve which is better match to geological models. To illustrate the effectiveness of this approach, we carried out research on six synthetic models that had been used in other research. The results were pretty good and could be used for training students, as well as additional information to interpret vertical electrical sounding data. We also proved that the interpolation method is inadequate to approximate apparent resistivity data, and the wrong anisotropy predicted may create several distortions to investigation depth. This causes the fact that the interpolation method may not have any geological sense, and it can be done only when the authors consider the geological models and resistivity parameters before performing their method, which is mainly impossible in field data

How to Cite
Kien, P.Ngoc and Duong, V.Hong 2018. An approach to improve the resolution of vertical electrical sounding data. Journal of Mining and Earth Sciences. 59, 3 (Jun, 2018).