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INTERPRETATION OF GEOELECTRIC DATA USING PROBABILISTIC AND STATISTICAL CHARACTERISTICS IN SOLVING ENGINEERING-GEOLOGICAL PROBLEMS

Journal: Геоінформатика (Geoinformatika) (Vol.56, No. 4)

Publication Date:

Authors : ; ;

Page : 29-34

Keywords : field of self-potential; apparent resistivity; statistical characteristics; classes; engineering-geological complications.;

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Abstract

Purpose. The purpose of the article is to study the possibility of applying the theory of assessments and methods of no-standard classifications to localize areas of possible geotechnical complications in interpreting electric methods of horizontal profiling (self-potential and resistance with a symmetric configuration of the electrodes). Design/methodology/approach. For self-potential and apparent resistances statistical characteristics were calculated, which were used as additional data at interpretation. Calculations were carried out by a program complex of the spectral and correlation analysis of “KOSKAD 3D” data. The complex is an effective computer technology of processing geologic-geophysical data. The “KOSKAD 3D” includes algorithms of probabilistic and statistical analysis and splitting of the analyzed square into uniform areas (classes). SP and their statistics were united in a uniform space, its structure being analyzed by means of methods of no- standard classifications. Findings. The results obtained in classification of geophysical parameters and their statistical characteristics allowed us to localize a number of zones of engineering-geological complications on sites of the railroad located within the developed space of a subsoil of the Verkhnekamsky salts field (Ural, Russia). Practical value/implications. Statistical characteristics of geoelectric parameters and methods of classification of multidimensional data on formal grounds help to increase reliability of allocating of zones of engineering-geological complications.

Last modified: 2015-12-23 21:24:14