Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review
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.
Original language | English |
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Title of host publication | Data Science in Oil and Gas 2021, DSOG 2021 |
Publisher | European Association of Geoscientists and Engineers |
Pages | 1-6 |
ISBN (Electronic) | 9789462823600 |
DOIs | |
State | Published - 4 Aug 2021 |
Event | 2nd EAGE Data Science in Oil and Gas Conference 2021, DSOG 2021 - Novosibirsk, Virtual, Russian Federation Duration: 4 Aug 2021 → 6 Aug 2021 |
Name | Data Science in Oil and Gas 2021, DSOG 2021 |
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Conference | 2nd EAGE Data Science in Oil and Gas Conference 2021, DSOG 2021 |
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Country/Territory | Russian Federation |
City | Novosibirsk, Virtual |
Period | 4/08/21 → 6/08/21 |
ID: 85238580