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Cloud computing in seismic data processing based on Voronoi diagrams using Google App Engine

  • Geoinformation Science
  • Published:
Journal of Mining Science Aims and scope

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 geomechanical–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.”

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Authors and Affiliations

  1. Kemerovo Division, Institute of Computational Technologies, Siberian Branch, Russian Academy of Sciences, ul. Rukavishnikova 21, Kemerovo, 650025, Russia

    V. P. Potapov, O. L. Giniyatullina & I. E. Kharlampenkov

  2. Chinakal Institute of Mining, Siberian Branch, Russian Academy of Sciences, Krasnyi pr. 54, Novosibirsk, 630091, Russia

    V. N. Oparin

Authors
  1. V. P. Potapov
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  2. V. N. Oparin
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  3. O. L. Giniyatullina
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  4. I. E. Kharlampenkov
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Corresponding author

Correspondence to V. P. Potapov.

Additional information

Original Russian Text © V.P. Potapov, V.N. Oparin, O.L. Giniyatullina, I.E. Kharlampenkov, 2015, published in Fiziko-Tekhnicheskie Problemy Razrabotki Poleznykh Iskopaemykh, 2015, No. 5, pp. 169–178.

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Potapov, V.P., Oparin, V.N., Giniyatullina, O.L. et al. Cloud computing in seismic data processing based on Voronoi diagrams using Google App Engine. J Min Sci 51, 1041–1048 (2015). https://doi.org/10.1134/S106273911504026X

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  • DOI: https://doi.org/10.1134/S106273911504026X

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