Vestnik NSU. Series: Information Technologies
Novosibirsk State University Journal of Information Technologies
Scientic Journal

ISSN 2410-0420 (Online), ISSN 1818-7900 (Print)

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All Issues >> Contents: Volume 15, Issue No 4 (2017)

Fast Direct Method for Solving Inverse Problems of Electrical Logging in Oil and Gas Wells
Oleg Valentinovich Nechaev, Viacheslav Nikolaevich Glinskikh

Trofimuk Institute of Petroleum Geology and Geophysics SB RAS

DOI: DOI 10.25205/1818-7900-2017-15-4-53-63
UDC code: 519.6, 550.832

The paper formulates the inverse problem of electric logging for determining the electrophysical parameters of rocks from measurements by the method of lateral logging sounding in oil and gas wells. A modified method of coordinate descent is proposed. The method is based on the adaptive approximation of the best direction for minimizing the objective function. The effectiveness of the proposed method is investigated on test functions and realistic model.

Key Words
direct optimization methods, coordinate descent method, inverse problem, electric logging

How to cite:
Nechaev O. V., Glinskikh V. N. Fast Direct Method for Solving Inverse Problems of Electrical Logging in Oil and Gas Wells // Vestnik NSU Series: Information Technologies. - 2017. - Volume 15, Issue No 4. - P. 53–63. - DOI 10.25205/1818-7900-2017-15-4-53-63. - ISSN 1818-7900. (in Russian).

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1. Itenberg SS, Dakhkilgov TD Geophysical studies in wells. M .: Nedra, 1982.
2. Zhdanov, Mikhail S. Geophysical Inverse Theory and Regularization Problems. Amsterdam: Elsevier Science, 2002
3. Kelley C.T. Iterative Methods for Optimization. Philadelphia: SIAM, 1999.
4. WilliamW. H., HongchaoZ. Asurveyof nonlinear conjugate gradient methods// Pacific Journal of Optimization, N 2, 2006, 35-58.
5. Robert Michael Lewis, Virginia Torczon, Michael W. Direct search methods: then and now// Journal of Computational and Applied Mathematics, N 124, 2000, 192-207.
6. Stefano Lucidi, Marco Sciandrone. A derivative-free algorithm for bound constrained optimization// Comput. Optim. Appl., N 21, 2002, 119–142.
7. Shaydurov V.V. Multigrid methods of finite elements. M.: Science, 1989.
8. R.-E. Plessix, A review of the adjoint-state method for computing the gradient of a functional with geophysical applications// Geophys. J. Int. Volume 167, Issue 2, 2006, p.495–503
9. Kalman, R.E. A new approach to linear filtering and prediction problems// Journal of Basic Engineering, N 82, Series D, 1960, 35—45.
10. I. Gijbels, A. Pope, M. P. Wand Understanding Exponential Smoothing via Kernel Regression// Journal of the Royal Statistical Society,N 61, Series B, 1999, 39-50.
11.Hooke, R.; Jeeves, T.A. Direct search solution of numerical and statistical problems// Journal of the Association for Computing Machinery, N 8, 1961, 212–229.
12. Fuchang Gao, Lixing Han. Implementing the Nelder-Mead simplex algorithm with adaptive parameters//Comput Optim Appl Volume 51, Issue 1, 2012, p.259–277.

Publication information
Main title Vestnik NSU Series: Information Technologies, Volume 15, Issue No 4 (2017).
Parallel title: Novosibirsk State University Journal of Information Technologies Volume 15, Issue No 4 (2017).

Key title: Vestnik Novosibirskogo gosudarstvennogo universiteta. Seriâ: Informacionnye tehnologii
Abbreviated key title: Vestn. Novosib. Gos. Univ., Ser.: Inf. Tehnol.
Variant title: Vestnik NGU. Seriâ: Informacionnye tehnologii

Year of Publication: 2017
ISSN: 1818-7900 (Print), ISSN 2410-0420 (Online)
Publisher: Novosibirsk State University Press
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