Результаты исследований: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › Рецензирование
Seismic data processing is a long, complex and iterative process implemented at Gazprom Neft. One of the stages of this process is the ground roll noise attenuation. Implementation requires the presence in the company of specialists-geophysicists with strong mathematical background, who currently solve this problem by manually selecting combinations of various predetermined filters. The company has been dealing with this task for a long time and has accumulated a representative sample of data where manual noise attenuation has been implemented. This information can be used as an automatic hypothesis test for new filtering methods. Based on this approach, we propose a method for obtaining ground roll noise masks and a method for its attenuation in the Fourier frequency domain FK transformbased on heuristic rules.
Язык оригинала | английский |
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Название основной публикации | Data Science in Oil and Gas 2021, DSOG 2021 |
Издатель | European Association of Geoscientists and Engineers |
Страницы | 1-6 |
ISBN (электронное издание) | 9789462823600 |
DOI | |
Состояние | Опубликовано - 4 авг 2021 |
Событие | 2nd EAGE Data Science in Oil and Gas Conference 2021, DSOG 2021 - Novosibirsk, Virtual, Российская Федерация Продолжительность: 4 авг 2021 → 6 авг 2021 |
Название | Data Science in Oil and Gas 2021, DSOG 2021 |
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конференция | 2nd EAGE Data Science in Oil and Gas Conference 2021, DSOG 2021 |
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Страна/Tерритория | Российская Федерация |
Город | Novosibirsk, Virtual |
Период | 4/08/21 → 6/08/21 |
ID: 85238580