Výsledky vyhledávání

An Approach to the Geometric 3D Inversion of Airborne EM Data for Detection and Geometrization of Local targets Overlapped by Laterally Inhomogeneous Layers

Autor: Yulia I. Koshkina, D.V. Vagin, A.P. Sivenkova, Dmitry S. Kiselev, Yuri G. Soloveichik, M.G. Persova

Publikováno v: Engineering and Mining Geophysics 2020.

Summary The paper proposes an approach to performing geometric 3D inversions of airborne EM data, which allows the detection and geometrization of local targets in complex geoelectrical media, i.e. in situations, when the targets response in the sign

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::570824a6bcc087d8b063341c910e78f7
https://doi.org/10.3997/2214-4609.202051090

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The Approaches to Geometric EM 3-D Inversion with Consideration for IP Effect in Survey with Electric Lines

Autor: Yulia I. Koshkina, Dmitry S. Kiselev, M.G. Persova, Yuri G. Soloveichik, D.V. Vagin, A.P. Sivenkova, O.S. Trubacheva

Publikováno v: GeoBaikal 2020.

Summary The paper is devoted to several variants of geometric 3-D inversions of EM data with finding the parameters of conductivity and chargeability of a geolelectrical model. The first variant is based on two-stage 3-D inversion, at the first stage

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::41fcf50b4b5d71bf25435aa212a5f1f1
https://doi.org/10.3997/2214-4609.202052022

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Oil Production Optimization Based on the Finite-Element Simulation of the Multi-Phase Flow in Porous Media and Inverse Problem Solution

Autor: A.S. Ovchinnikova, A.M. Grif, Y.G. Soloveichik, Ilya I. Patrushev, D.V. Vagin, M.G. Persova

Publikováno v: GeoBaikal 2020.

Summary The paper is devoted to the approach to automatic history matching of a reservoir model and the production optimization on the basis of the history-matched digital model. The distinctive feature of this approach to history matching is the use

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b111a41b4fe910b4a28e280dbf6f3269
https://doi.org/10.3997/2214-4609.202052021

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The Approach to 3D Modeling and 3D Inversion of Magnetic Gradiometry Data

Autor: N.S. Kondratyeva, Yuri G. Soloveichik, M.G. Persova, Dmitry S. Kiselev, D.V. Vagin

Publikováno v: Geomodel 2019.

Summary The paper proposes the approach to 3D modeling and 3D inversion in which the observed data are the second and third invariants of the magnetic gradient tensor. This enables not only to detect the bodies with abnormal magnetic properties but a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::650f22aa37d83217d3b874b85a52ccd6
https://doi.org/10.3997/2214-4609.201950081

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The Approach to the Automatic Adaptation of a High-Viscosity Oil Field Hydrodynamic Model Based on the Multidimensional Inverse Problem of Multi-Phase Filtration

Autor: A.M. Grif, Yuri G. Soloveichik, M.G. Persova, E.V. Orekhov, A.V. Nasybullin, Ilya I. Patrushev, D.V. Vagin, A.S. Ovchinnikova

Publikováno v: Geomodel 2019.

Summary This paper proposes the approach to the solution of the multidimensional inverse problem of multi-phase filtration in porous media for obtaining the hydrodynamic model of the oil field in order to plan its further development in an optimal wa

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::333dc5a044c91767f47688755e0f5549
https://doi.org/10.3997/2214-4609.201950083

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Parallel solution of 3D forward and inverse problems of airborne electromagnetic survey

Autor: Yuri G. Soloveichik, O.S. Trubacheva, Dmitry S. Kiselev, D.V. Vagin, M.G. Persova, N.S. Kondratyeva

Publikováno v: IOP Conference Series: Materials Science and Engineering. 1019:012020

The paper is devoted to the comparison of different approaches to parallel solution of 3D forward and inverse problems of airborne electromagnetic (EM) surveys when multidimensional processing of data obtained on large areas is needed. The mathematic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9b95842b339c0fe352b94ae021c59868
https://doi.org/10.1088/1757-899x/1019/1/012020

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