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Ускорение работы алгоритма Гаррисона для поляризационного анализа квазипоперечных волн в анизотропной среде путём аналитического вычисления интегралов

Ускорение работы алгоритма Гаррисона для поляризационного анализа квазипоперечных волн в анизотропной среде путём аналитического вычисления интегралов

Abstract

В работе рассматривается один из методов разделения интерферирующих квазипоперечных волн, предложенный Гаррисоном и его модификация, позволяющая существенно сократить объем вычислений и используемой оперативной памяти, а также несколько повысить точность определения параметров поляризации. Алгоритмы реализованы в виде подключаемого модуля обрабатывающей системы VSPLab, разрабатываемой в ИНГГ СО РАН, и протестированы на синтетических и экспериментальных данных. Тестирование модифицированного алгоритма показало ускорение работы алгоритма примерно в 200 раз, что позволило значительно увеличить производительность обработки профильных данных.

The paper is devoted to the method of separating interfering quasishear waves suggested by Harrison and to its modification which significantly reduces the computation time and memory usage. The modified algorithm shows a slight increase in the accuracy of the polarization parameters estimation. Both algorithms were implemented as a plugin of VSPLab system, the processing software developed at IPGG SBRAS, and tested using synthetic and experimental data. The tests demonstrated the acceleration of the algorithm in about 200 times that makes field data processing far more effective.

Keywords

МНОГОКОМПОНЕНТНЫЕ СЕЙСМИЧЕСКИЕ НАБЛЮДЕНИЯ, АНИЗОТРОПИЯ, РАСЩЕПЛЕНИЕ КВАЗИПОПЕРЕЧНЫХ ВОЛН, ПОЛЯРИЗАЦИОННЫЙ АНАЛИЗ, АЛГОРИТМ ГАРРИСОНА, HARRISON’S ALGORITHM

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green