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 languageEnglish
Title of host publicationData Science in Oil and Gas 2021, DSOG 2021
PublisherEuropean Association of Geoscientists and Engineers
Pages1-6
ISBN (Electronic)9789462823600
DOIs
StatePublished - 4 Aug 2021
Event2nd EAGE Data Science in Oil and Gas Conference 2021, DSOG 2021 - Novosibirsk, Virtual, Russian Federation
Duration: 4 Aug 20216 Aug 2021

Publication series

NameData Science in Oil and Gas 2021, DSOG 2021

Conference

Conference2nd EAGE Data Science in Oil and Gas Conference 2021, DSOG 2021
Country/TerritoryRussian Federation
CityNovosibirsk, Virtual
Period4/08/216/08/21

    Scopus subject areas

  • Information Systems
  • Fuel Technology
  • Energy Engineering and Power Technology
  • Chemical Engineering(all)
  • Computer Science Applications

ID: 85238580