METADATA IN ENGLISH


About the journal


NAUKA I TEKHNOLOGICHESKIE RAZRABOTKI (SCIENCE AND TECHNOLOGICAL DEVELOPMENTS), ISSN: 2079-5165, eISSN: 2410-7948, DOI: 10.21455/std; https://elibrary.ru/title_about.asp?id=32295; http://std.ifz.ru/. The journal was founded in 1992.


APPLICATION INDEPENDENT FINITE ELEMENT MODELING
TO ESTIMATION OF EFFECT OF LANDFORM ON RESULTS
OF INVERSION OF ELECTRICAL RESISTIVITY TOMOGRAPHY DATA (EXAMPLE OF TRENCH OF TRIANGULAR CROSS-SECTION)


P.A. Kaznacheev1, I.Yu. Popov2, I.N. Modin2, R.A. Zhostkov1


1 Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences, Moscow, Russia

2 Lomonosov Moscow State University, Moscow, Russia

Corresponding author: P.A. Kaznacheev, e-mail: p_a_k@mail.ru


Highlights

The new technical approach to estimation of effect of the surface relief on results of inversion of electrical resistivity tomography data has been developed

Based on results of numerical modeling by finite element method, the effectiveness of this approach is shown on the example of relief of a trench of rectangular cross-section

It is shown that finite element modeling allows to achieve the accuracy comparable to the accuracy of analytical solution (on the example of horizontally homogeneous three-layer medium)


Abstract. In solving of problems of shallow electrical survey, a relief is a factor that has significant impact on result of inversion of field electrical resistivity tomography data. It’s verification is a very difficult task due to the complex structure of the real geological environment. At the same time, the development of computer numerical modeling methods allows obtaining electrical resistivity tomography data for simple models. The paper presents an estimation of effect of the simplest landforms on the results of the inversion of electrical resistivity mography data. Data is obtained by numerical modeling based on the finite element method at the same time by an inversion-independent technique, on the example of the model of the trench of triangular cross-section. It is determined that the inversion for the trench in homogeneous half-space produces false anomalies, the maximum of which is located under the axis of the trench. Separately, it is shown that in the presence of real inhomogeneity in this position, it can, depending on its resistance, be masked (compensated) by the maximum of false anomalies, or strengthen it. If the trench is in two-layer medium, then there is distortion of the boundary between the layers at some interval under the trench, shaped like it.


Keywords: electrical resistivity tomography, topography, relief, landform, inversion, numerical modeling, finite element method, trench of triangular cross-section.


Cite this article as: Kaznacheev P.A., Popov I.Yu., Modin I.N., Zhostkov R.A. Application independent finite element modeling to estimation of effect of landform on results of inversion of electrical resistivity tomography data (example of trench of triangular cross-section), Nauka i Tekhnologicheskie Razrabotki (Science and Technological Developments), 2019, vol. 98, no. 1, pp. 21–34. [Special issue “Methodological aspects of the application of electromagnetic methods in geophysical research”]. [in Russian]. https://doi.org/10.21455/std2019.1-2


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About the authors


KAZNACHEEV Pavel Aleksandrovich – PhD (Candidate of Science in Technics), Senior Staff Scientist, Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences. 123242, Moscow, ul. Bolshaya Gruzinskaya 10, stroenie 1. Ph.: +7(499) 254-23-40. E-mail: p_a_k@mail.ru


POPOV Igor Yurievich – student, Lomonosov Moscow State University. 119991, Moscow, Leninskie gory str. 1. Ph.: +7(495) 939-49-63. E-mail: igo3427@yandex.ru


MODIN Igor Nikolaevich – Dr. Sci. (Tech. Science), Professor, Lomonosov Moscow State University. 119991, Moscow, Leninskie gory str. 1. Ph.: +7(495) 939-49-63. E-mail: imodin@yandex.ru


ZHOSTKOV Ruslan Aleksandrovich – PhD (Candidate of Phys.-Math. Science), Senior Staff Scientist, Schmidt Institute of Physics of the Earth of the Russian Academy of Sciences. 123242, Moscow, ul. Bolshaya Gruzinskaya 10, stroenie 1. Ph.: +7(499) 254-90-80. E-mail: shageraxcom@yandex.ru