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We examine the problem of localization of a single microseismic event and determination of its seismic moment tensor in the presence of strongly correlated noise. This is a typical problem occurring in monitoring of microseismic events from a daylight surface during producing or surface monitoring of hydraulic fracturing. We propose a solution to this problem based on the method of maximum likelihood. We discuss mathematical aspects of the problem, some features and weak points of the proposed approach, estimate the required computing resources, and present the results of numerical experiments. We show that the proposed approach is much more resistant to correlated noises than diffraction stacking methods and time reverse modeling.

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Описан опыт создания комплексной программно-аппаратной платформы для организации высокопроизводительных вычислений при решении современных геофизических задач на основе методов полноволновой инверсии. Обсуждены проблемы создания массовых высокопроизводительных программных комплексов для широкого использования в промышленности.