Practical aspects of using a neural network to solve inverse geophysical problems

Yakimenko, Alexander A.; Morozov, A. E.; Karavaev, Dmitry

doi:10.1088/1742-6596/1015/3/032148

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…So, the equations in the PML zones are solved for approximation with additional factor and damping coefficients [23]. This approach has been successfully applied to solve the dynamic problem of elasticity theory from the numerical modeling of seismic fields [25,26].…”

Section: Fig 4 Schematic Representation Of the Two-dimensional Modementioning

confidence: 99%

Mathematical simulation of acoustic waves propagation through forest layer onto ground

Voskoboynikova

Karavaev

Kovalevsky

et al. 2018

AIP Conference Proceedings

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In this paper, aspects of the numerical modeling of acoustic waves propagation in 2D inhomogeneous model "atmosphere-forest layer-ground" are considered. The linear damping function was introduced into the main acoustic equations. This function characterizes the energy dissipation of the acoustic waves propagating in the forest layer. The problem of the interaction of acoustic waves falling onto the ground covered by the forest layer and seismic waves arising in the ground are considered. The influence of the forest layer on the amplitudes of acoustic waves and seismic waves excited in the ground was investigated. An influence of damping coefficient on the rate of acoustic oscillations attenuation in the forest was estimated. The algorithm and the program for calculation the acoustic pressure levels in different media using the wave equation for the atmosphere, Euler's gas dynamics equations for forest, and the elasticity equation for the ground have been developed and implemented. The results of numerical experiments as instantaneous snapshots of the wave field were presented.

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Section: Fig 4 Schematic Representation Of the Two-dimensional Modementioning

confidence: 99%

Mathematical simulation of acoustic waves propagation through forest layer onto ground

Voskoboynikova

Karavaev

Kovalevsky

et al. 2018

AIP Conference Proceedings

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“…В связи с этим уравнения в зонах PML решаются для аппроксимации с учетом добавочного фактора и демпфирующих коэффициентов [16]. Подобный подход успешно применяется для решения динамической задачи теории упругости по численному моделированию сейсмических полей [18,19].…”

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Numerical simulation of acoustic waves propagation in an atmosphere-forestland-ground system

Воскобойникова¹,

Karavaev²,

Khairetdinov³

2018

Sib. Zh. Ind. Mat.

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Рассматривается задача численного моделирования распространения акустических волн в двумерной неоднородной среде, представленной моделью атмосфера-лесной массив-грунт. Особенность моделирования характеризуется введением в основные уравнения акустики линейной демпфирующей функции, характеризующей потери энергии акустической волны по отношению к лесонасаждению. Рассмотрена задача взаимодействия акустических волн, падающих под заданным углом из атмосферы на систему лес-грунт, и сейсмических волн, возникающих в грунте. Исследован вопрос о влиянии лесного массива на уровни акустических и сейсмических волн, в том числе оценено влияние коэффициента трения на скорость затухания акустических колебаний в лесном слое. Разработаны и реализованы алгоритм и программа расчета уровней акустического давления в разных средах с применением волнового уравнения для атмосферы, уравнений газовой динамики Эйлера для леса, уравнения упругости для грунта. Представлены результаты численных экспериментов в виде мгновенных снимков волнового поля.Ключевые слова: техногенные шумы, инфразвуковые волны, геоэкологическая опасность, шумопоглощение, лесной массив, численный эксперимент, уравнения газовой динамики, численные результаты.

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Investigation of edge detection methods using the example of wave field pattern image

Yakimenko

Makfuzova

2021

IOP Conf. Ser.: Mater. Sci. Eng.

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This article explores the methods of detecting boundaries in images of wave field patterns. As a result, an application for image processing was developed using Sobel, Prewitt, Roberts, Gabor and Canny filters and experiments were carried out to detect the edge on images of wave field patterns. In conclusion, the quantitative and qualitative characteristics of the filters were presented, and a conclusion was made on the selection of the boundary detection filter. The results of this study will be used in the study of the neural network neocognitron for the recognition of geological and physical models of environments (GPME). This work was supported by the RFBR grant No. 19-07-00170.

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Practical aspects of using a neural network to solve inverse geophysical problems

Cited by 5 publications

References 2 publications

Mathematical simulation of acoustic waves propagation through forest layer onto ground

Mathematical simulation of acoustic waves propagation through forest layer onto ground

Numerical simulation of acoustic waves propagation in an atmosphere-forestland-ground system

Investigation of edge detection methods using the example of wave field pattern image

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