Man-made earthquakes prevention through monitoring and discharging of their causative stress-deformed states
Autor: | Ahmed Ismail, Evgeny Rizanov, Sergey Koligaev, Ahmed Abdelmaksoud, Samuel LeRoy, Yury Lyasch, Kuznetsov Oleg L, Ahmed A. Radwan, Chirkin Igor A |
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Rok vydání: | 2021 |
Předmět: |
geography
Microseism geography.geographical_feature_category Seismic vibrator 010504 meteorology & atmospheric sciences Geological formation General Earth and Planetary Sciences 010502 geochemistry & geophysics 01 natural sciences Geology Seismology 0105 earth and related environmental sciences General Environmental Science |
Zdroj: | Arabian Journal of Geosciences. 14 |
ISSN: | 1866-7538 1866-7511 |
DOI: | 10.1007/s12517-021-06646-x |
Popis: | Despite our understanding of the different mechanisms of man-made earthquakes, their short-term prediction and prevention is yet to be attained. In the present study, we propose an integrated four-step approach to predict and prevent man-made earthquakes or reduce their chance of occurrence. Our four-step approach includes locating the highly anomalous zones of microseismic emission (MSE) that result from the stress-deformed state inside a geological formation and often represents the “seismic nuclei” for impending earthquakes, monitoring the variations and dynamics of the anomalous MSE zones over a period of one lunar month, inducing a creep-discharging of the MSE zones using a vibroseis seismic source at the ground surface, and monitoring the same MSE zones following the creep-discharge to determine whether the stress-deformed state was released and the chance of potential earthquake occurrence has been eliminated or reduced. The proposed full four-step approach has never implemented at one single location. Nevertheless, these steps have been tested separately at different sites and have proven successful. We propose conducting the full four-step approach at various locations of potential man-made earthquake activities around the world including the state of Oklahoma in the USA. |
Databáze: | OpenAIRE |
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