DOI

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 оригиналаанглийский
Название основной публикацииData Science in Oil and Gas 2021, DSOG 2021
ИздательEuropean Association of Geoscientists and Engineers
Страницы1-6
ISBN (электронное издание)9789462823600
DOI
СостояниеОпубликовано - 4 авг 2021
Событие2nd EAGE Data Science in Oil and Gas Conference 2021, DSOG 2021 - Novosibirsk, Virtual, Российская Федерация
Продолжительность: 4 авг 20216 авг 2021

Серия публикаций

НазваниеData Science in Oil and Gas 2021, DSOG 2021

конференция

конференция2nd EAGE Data Science in Oil and Gas Conference 2021, DSOG 2021
Страна/TерриторияРоссийская Федерация
ГородNovosibirsk, Virtual
Период4/08/216/08/21

    Предметные области Scopus

  • Информационные системы
  • Технология топлива
  • Энергетическая технология
  • Химическая технология (все)
  • Прикладные компьютерные науки

ID: 85238580