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Using of Probabilistic-Statistical Characteristics in the Interpretation of Electrical Survey Monitoring Observations

  • L. A. KhristenkoEmail author
  • Ju. I. Stepanov
  • A. V. Kichigin
  • E. I. Parshakov
  • A. A. Tainickiy
  • K. N. Shiryaev
Conference paper
Part of the Springer Proceedings in Earth and Environmental Sciences book series (SPEES)

Abstract

It is within the Verkhnekamsk salt deposit, on the potentially dangerous sections of the mine fields the geologic-geophysical monitoring, which includes the electroprospecting researches by the methods NF and SEP on three spans of the power line AB is carried out regularly. The analysis of statistical characteristics of values of potentials of the natural field and apparent resistance by means of the theory of estimates allows to increase significantly the volume of useful information and more accurately to trace the features of a geological structure which are implicitly expressed in the observed fields. For a more distinct allocation of the hidden regularities of change of amplitude of the apparent resistance (AR) field, a fast wavelet-transformation (FWT) of discrete values of AR by means of the HAAR_2 program was executed previously. The statistical characteristics of SEP values and potential of NF were calculated by various methods realized in the COSCAD 2D software package (in the sliding window, in one-dimensional and two-dimensional dynamic windows), and with different sizes of windows. The statistical characteristics of values of NF potential were combined in turn with the statistics of AR obtained at AB 100, 200 and 400 m, i.e. three multi-attribute spaces were formed. Their structure was analyzed by means of various methods of non-standard classification. The using of procedures of non-standard classification allowed to break the analyzed sets on homogeneous, by formal mathematical criteria, the classes spatially answering to sites of possible engineering-geological complications, that it is extremely difficult by results of only the qualitative analysis of field observations.

Keywords

Verkhnekamsk salt deposit Monitoring observations Electroprospecting researches Wavelet-transformation Statistical characteristics Methods of non-standard classification 

Notes

Acknowledgements

This work was supported by a grant RFBR № 16-45-590046.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • L. A. Khristenko
    • 1
    Email author
  • Ju. I. Stepanov
    • 1
  • A. V. Kichigin
    • 1
  • E. I. Parshakov
    • 1
  • A. A. Tainickiy
    • 1
  • K. N. Shiryaev
    • 1
  1. 1.Laboratory of Surface and Underground ElectrometryMining Institute of the Ural Branch Russian Academy of SciencesPermRussia

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