Prospectivity evaluation by seismic trace form classification

V. V. Demyanov, V. B. Belozerov, V. E. Baranov

Результат исследований: Материалы для книги/типы отчетовМатериалы для конференции

Аннотация

The aim of this work is to evaluate the prospective areas with good hydro carbon reservoir quality by using machine learning approaches to classify seismic traces. Quality of reservoir described by lithological features is encoded in the shape of seismic trace. Detection of good reservoir units is difficult due to their small thicknesses. A traditional manual interpretation performed on a set of 2D seismic profiles, covering license block, has detected a region with good reservoir quality. Based on these results the automatic procedure is offered to get the quick-look evaluation of the most perspective areas for development drilling.

Язык оригиналаАнглийский
Название основной публикацииProceedings of IAMG 2015 - 17th Annual Conference of the International Association for Mathematical Geosciences
РедакторыRaimon Tolosana Delgado, K. Gerald van den Boogaart, Regina van den Boogaart, Helmut Schaeben
ИздательInternational Association for Mathematical Geology (IAMG)
Страницы626-632
Число страниц7
ISBN (электронное издание)9783000503375
СостояниеОпубликовано - 1 янв 2015
Событие17th Annual Conference of the International Association for Mathematical Geosciences, IAMG 2015 - Freiberg, Германия
Продолжительность: 5 сен 201513 сен 2015

Серия публикаций

НазваниеProceedings of IAMG 2015 - 17th Annual Conference of the International Association for Mathematical Geosciences

Конференция

Конференция17th Annual Conference of the International Association for Mathematical Geosciences, IAMG 2015
СтранаГермания
ГородFreiberg
Период5.9.1513.9.15

ASJC Scopus subject areas

  • Mathematics (miscellaneous)
  • Earth and Planetary Sciences(all)

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  • Цитировать

    Demyanov, V. V., Belozerov, V. B., & Baranov, V. E. (2015). Prospectivity evaluation by seismic trace form classification. В R. T. Delgado, K. G. van den Boogaart, R. van den Boogaart, & H. Schaeben (Ред.), Proceedings of IAMG 2015 - 17th Annual Conference of the International Association for Mathematical Geosciences (стр. 626-632). (Proceedings of IAMG 2015 - 17th Annual Conference of the International Association for Mathematical Geosciences). International Association for Mathematical Geology (IAMG).