Prospectivity evaluation by seismic trace form classification

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of IAMG 2015 - 17th Annual Conference of the International Association for Mathematical Geosciences
EditorsRaimon Tolosana Delgado, K. Gerald van den Boogaart, Regina van den Boogaart, Helmut Schaeben
PublisherInternational Association for Mathematical Geology (IAMG)
Pages626-632
Number of pages7
ISBN (Electronic)9783000503375
Publication statusPublished - 1 Jan 2015
Event17th Annual Conference of the International Association for Mathematical Geosciences, IAMG 2015 - Freiberg, Germany
Duration: 5 Sep 201513 Sep 2015

Publication series

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

Conference

Conference17th Annual Conference of the International Association for Mathematical Geosciences, IAMG 2015
CountryGermany
CityFreiberg
Period5.9.1513.9.15

ASJC Scopus subject areas

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

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  • Cite this

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