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DENSITY EARTH-S CRUST MODELS CREATION USING GRAVITY AND SEISMIC DATA

П. С. Мартышко

First published: 2018-06-20https://doi.org/10.5593/sgem2018/1.1/s05.094View metrics

Abstract

Interpretation of geophysical data is an important stage at a research of interior of Earth and problem solving of a prospecting geophysics. Potential geophysical fields ? gravitational, magnetic, stationary thermal ? satisfy to the equation of Laplace. Therefore, the theory and methods of interpretation developed for one of this field have the universal character. At the same time, it is necessary for these problems solution to use results of interpretation other geophysical data, first of all, seismic data. Process of creation of Earth?s density models leads to the solution of direct and inverse gravimetry problems. The inverse problem of gravimetry is a classic example of an ill-posed problem: in the common statement, its solution is not unique and unstably depends on input data. Therefore, it is necessary to determine solutions belonging substantial sets of correctness, choosing reasonable models of an initial approximation. In this paper methods of complex interpretation of seismic and gravitational data, their application for creation of three-dimensional models of crust and the upper mantle are presented. Original algorithms and programs of recalculation of potential fields are developed for realization of these methods, taking note of side sources, the solution of a non-linear (structural) inverse problem, the solution of the linear three-dimensional inverse problem. Coefficients in dependence formulas "density-velocity" for a number of geotraverses are defined.

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Publication details

Title
DENSITY EARTH-S CRUST MODELS CREATION USING GRAVITY AND SEISMIC DATA
Authors
П. С. Мартышко
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 18th International Multidisciplinary Scientific GeoConference SGEM2018, Science and Technologies in Geology, Exploration and Mining
Publisher
STEF92 Technology
Year
2018
Pages
749-754
SWS Citekey
Martyshko20185749754
ISSN
1314-2704
ISBN
978-619-7408-35-5
Language
en
Publication type
Conference Paper
Keywords
References7
  1. Strakhov, V.N. and Romanyuk, T.V., Reconstructing the crustal and upper mantle density from DSS and gravimetry data, Izv. Akad. Nauk SSSR, Fiz. Zemli, 1984, no. 6, pp. 44–63.

  2. Sobolev, I.D., Avtoneev, S.V., Belovskaya, R.P., Petrova, T.Yu., Syutkina, R.A., Tectonic map of Urals in 1:1000000 scale: explanatory notes, Sverdlovsk, Uralgeologia, 1983, 168 p (In Russian).

  3. Druzhinin, V.S., Egorkin, A.V., Kashubin, S.N., New information on the plutonic structure of the Urals and adjoining areas, derived from deep seismic sounding data, Doklady of the Academy of Sciences of the USSR. Earth Science Sections. 315, 1990, 67-71.

  4. Ladovskii, I.V., Martyshko, P.S., Byzov, D.D. and Kolmogorova, V.V. On Selecting the Excess Density in Gravity Modeling of Inhomogeneous Media. Izvestiya, Physics of the Solid Earth, 2017, Vol. 53, No. 1, pp. 130–139. DOI: 10.1134/S1069351316060057

  5. Martyshko, P.S., Ladovskii, I.V., and Byzov, D.D., Solution of the gravimetric inverse problem using multidimensional grids, Dokl. Earth Sci, 2013, vol. 450, no. 2, pp. 666–671. DOI: 10.1134/S1028334X13060172

  6. Martyshko, P.S., Ladovskii, I.V., and Tsidaev, A.G., Construction of regional geophysical models based on the joint interpretation of gravity and seismic data, Izv., Phys. Solid Earth, 2010, vol. 46, no. 11, pp. 931–942. DOI: 10.1134/S1069351310110030

  7. Martyshko, P, Byzov, D, Ladovskiy, I, Tsidaev, A., 3D density models construction method for layered media, Informatics, geoinformatics and remote sensing, Vol I (SGEM 2015), 2015, pp. 425-432.

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