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Recovering of the reservoir conductivity by measurements on the surface using gpr data Научная публикация

Журнал Eurasian Journal of Mathematical and Computer Applications
ISSN: 2306-6172 , E-ISSN: 2308-9822
Вых. Данные Год: 2023, Том: 11, Номер: 1, Страницы: 124-138 Страниц : 15 DOI: 10.32523/2306-6172-2023-11-1-124-138
Ключевые слова coefficient inverse problems, Maxwell’s equations, electrodynamic, gradient method, horizontally layered medium.
Авторы Shishlenin M.A. 1,2 , Shakhatova A.T. 3 , Mirgalikyzy T 3
Организации
1 Russian Acad Sci, Sobolev Inst Math, Siberian Branch, Novosibirsk, Russia
2 Russian Acad Sci, Inst Computat Math & Math Geophys, Siberian Branch, Novosibirsk, Russia
3 LN Gumilyev Eurasian Natl Univ, Astana, Kazakhstan

Информация о финансировании (1)

1 Институт математики им. С.Л. Соболева СО РАН FWNF-2022-0009

Реферат: In this article we consider a mathematical model of interpretation of a geoelectric section based on georadar data. One of the reasons preventing the spread of GPR technologies is the complexity of data interpretation, which requires the involvement of highly qualified specialists. In this regard, the study of the mathematical model and comparison with real georadar data expands the possibilities of interpretation of the georadar. To test the algorithm for solving the inverse problem of determining the electrical conductivity of layered media, data from exploration wells of the Karaganda coal basin field were used. We assume that the medium is horizontally layered and the electromagnetic pa-rameters of the medium depend only the depth. The problem of determining the conductivity is reduced to the problem of minimizing the cost functional by the gra-dient method. The gradient of the functional is calculated through the solution of the adjoint problem, the results of numerical calculations are given.
Библиографическая ссылка: Shishlenin M.A. , Shakhatova A.T. , Mirgalikyzy T.
Recovering of the reservoir conductivity by measurements on the surface using gpr data
Eurasian Journal of Mathematical and Computer Applications. 2023. V.11. N1. P.124-138. DOI: 10.32523/2306-6172-2023-11-1-124-138 WOS Scopus РИНЦ OpenAlex
Даты:
Поступила в редакцию: 7 мар. 2023 г.
Принята к публикации: 23 мар. 2023 г.
Опубликована в печати: 31 мар. 2023 г.
Опубликована online: 31 мар. 2023 г.
Идентификаторы БД:
Web of science: WOS:000971825500007
Scopus: 2-s2.0-85153267141
РИНЦ: 61128982
OpenAlex: W4362733476
Цитирование в БД:
БД Цитирований
Scopus 5
OpenAlex 1
РИНЦ 1
Альметрики: