Oil and Gas Reservoir as a Cause of Micro-Earthquake

Sirotinskiy, Y.V.; Abaturov, M.A.; Arutiunov, S.L.; Tsivadze, A.Y.

Авторы: Sirotinskiy Yuriy Vladimirovich, Abaturov Mikhail Anatolievich, Arutiunov Sergey Lvovich, Tsivadze Aslan Yusupovich
Журнал: European Proceedings of Social and Behavioural Sciences
Том: 128
Год издания: 2022
Издательство: Future Academy
Местоположение издательства: online
Первая страница: 576
Последняя страница: 580
Номер статьи: 79
DOI: 10.15405/epsbs.2022.11.79
Аннотация: The paper discusses a specific impact on reducing environmental risks that is an urgent issue modern science is concerned with. At present, one of the social challenges is to solve an acute problem of geological research – seismology. This socio-economic challenge affects a significant part of the population. Numerous studies show that the precursors of large earthquakes are a great number of micro-shocks of the earth’s surface, which are classified as micro-earthquakes and generally occur in an infrasonic frequency range. Another aspect of the problem is related to the fact that the seismic exploration is a dominant geophysical method, which refers to indirect exploration methods. Despite new modifications, including three-dimensional modeling, the “success rate” among a number of attempts to drill exploratory wells, according to seismic prospecting, still does not exceed 0.5, i.e. every second well drilled turns out to be unproductive. Seismic operations have a dramatic man-made impact on the environment, which significantly worsens an environmental situation in the area of operations. The solution to these problems can be based on the exceptional informativeness of infra-low-frequency microseismic noise signals. Recently, methods for processing and analyzing chaotic signals have been productively developing in different fields of science and technology, in particular in geological exploration. Noise signals are studied using the basic provisions of probability theory and mathematical statistics. For these purposes, various methods are widely used, in particular, Fourier and Chebyshev analysis
Добавил в систему: Абатуров Михаил Анатольевич

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