Automatic interpretation of facies from wireline logs by using hierarchical machine learning approach

D. V. Egorov, N. V. Bukhanov, B. V. Belozerov, V. S. Rukavishnikov

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

3 Citations (Scopus)

Abstract

The objective of this research was examination of machine learning algorithms in combination with a priori geological information applicability for automatical facies distribution from wireline logs problem. This study was based on data from Field M located in Western Siberia which can be characterized by complex geology making results of examination reliable. During the project different classification algorithms were evaluated to find the most appropriate one for automatical facies interpretation task. Classifiers were trained and tested on data from Field M, produced results were compared by different metrics. At the next step chosen classifier (Random Forest algorithm) was used for comparison of two machine learning approaches - standard and hierarchical. The latter uses a priori geological information, in this study facies zonation map acted as such information. Application of this expert knowledge during automatical facies distribution allows separation of the initial data set into subsets to simplify classification task and improve prediction accuracy. Finally, developed algorithm was performed on the entire oilfield including more than 700 wells to justify its applicability for real industry problems. Previously mentioned steps were conducted with aid of originally developed Python script which can be integrated into any software environment to automate facies interpretation process.

Original languageEnglish
Title of host publicationSaint Petersburg 2018
Subtitle of host publicationInnovations in Geosciences � Time for Breakthrough
PublisherEuropean Association of Geoscientists and Engineers, EAGE
ISBN (Electronic)9789462822474
DOIs
Publication statusPublished - 2018
Event8th Saint Petersburg International Conference and Exhibition: Innovations in Geosciences - Time for Breakthrough - Saint Petersburg, Russian Federation
Duration: 9 Apr 201812 Apr 2018

Publication series

NameSaint Petersburg 2018: Innovations in Geosciences - Time for Breakthrough

Conference

Conference8th Saint Petersburg International Conference and Exhibition: Innovations in Geosciences - Time for Breakthrough
CountryRussian Federation
CitySaint Petersburg
Period9.4.1812.4.18

ASJC Scopus subject areas

  • Geophysics
  • Geology
  • Geotechnical Engineering and Engineering Geology

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