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2D inversion

Geology
  • Date submitted
    2016-09-21
  • Date accepted
    2016-11-04
  • Date published
    2017-02-22

Combined 2D inversion of electrotomographic and audio-magnetotellurgic sounding data to solve mining problems

Article preview

Electrical methods of exploration are widely applied in prospecting and estimation of ore mineral resources. It is not always that geoelectrical models obtained in the course of interpretation of different types of electric and electromagnetic sounding are in line with each other. This leads to difficulties in geological interpretation of electrical exploration results. In single cases a geological model can be built that with great precision satisfies data from different electrical explorations, for instance, results of geometric and inductive electromagnetic soundings. For this purpose an algorithm of combined inversion of electrotomographic and audio-megnetotellurgic sounding data has been developed and implemented by A.E.Kaminskii in software ZondRes2D. Advantage of combined inversion has been shown for investigation of sections up till 400-500 m deep on synthetic models and actual field data.

How to cite: Kulikov V.A., Kaminskii A.E., Yakovlev A.G. Combined 2D inversion of electrotomographic and audio-magnetotellurgic sounding data to solve mining problems // Journal of Mining Institute. 2017. Vol. 223 . p. 9-19. DOI: 10.18454/PMI.2017.1.9
Geophysics
  • Date submitted
    2008-10-04
  • Date accepted
    2008-12-13
  • Date published
    2009-12-11

1D-interpretation technology of airborne tem data

Article preview

One-dimensional interpretation methods of airborne transient electromagnetic data are considered. Main techniques, used for adaptation of standard methods of ground electroprospecting data interpretation to airborne technique, are described. The efficiency of methods examined was analyzed on theoretical data set. An example of practical application of methods developed is presented.

How to cite: Chernyshev A.V. 1D-interpretation technology of airborne tem data // Journal of Mining Institute. 2009. Vol. 183 . p. 281-284.