Cloud Computing for Seismic Data Processing Based on Voronoi Diagrams Using Google App Engine
V. P. POTAPOV1, V. N. OPARIN2, O. L. GINIYATULLINA1, I. E. KHARLAMPENKOV1
1Institute of Computational Technologie Siberian Branch, Russian Academy of Sciences, ul. Rukavishnikova 21, Kemerovo, 650025 Russia
2Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences, Krasnyi pr. 54, Novosibirsk, 630091 Russia
Keywords: геомеханико-геодинамическая безопасность, угледобывающие районы Кузбасса, геоинформационные технологии, web-сервисы, облачные хостинги, миграция сейсмособытий, обработка сейсмологических бюллетеней, geomechanical and geodynamic safety, coal mining areas in Kuzbass, geoinformation technologies, web-services, cloud hostings, seismic event migration, seismic report processing
Subsection: GEOINFORMATION SCIENCE
Abstract
The authors offer a new approach to processing seismological reports using Voronoi diagrams to detect clustered dynamic events in an area exposed to high production loading, implemented as a cloud service in the framework of geomechnical-geodynamic safety system of Kuzbass. The cloud service allows pre-processing of array of seismic events prior to computation of migration trajectories of reduced seismic energy release centers according to Oparin, which greatly improves computation accuracy. The article reports the results of seismicity assessment for the Kemerovo Region using the chain of services “Voronoi diagram-migration trajectories of reduced seismic energy release centers”.
|
