Topological characteristics of oil and gas reservoirs and their applications

V. A. Baikov, R. R. Gilmanov, I. A. Taimanov, A. A. Yakovlev

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

3 Citations (Scopus)

Abstract

We demonstrate applications of topological characteristics of oil and gas reservoirs considered as three-dimensional bodies to geological modeling.

Original languageEnglish
Title of host publicationTowards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Revised Selected Papers
EditorsAndreas Holzinger, Randy Goebel, Massimo Ferri, Vasile Palade
PublisherSpringer Verlag
Pages182-193
Number of pages12
ISBN (Print)9783319697741
DOIs
Publication statusPublished - 1 Jan 2017
Externally publishedYes
EventBIRS Workshop on Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets, 2015 - Banff, Canada
Duration: 24 Jul 201526 Jul 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10344 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceBIRS Workshop on Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets, 2015
CountryCanada
CityBanff
Period24.7.1526.7.15

Fingerprint

Three-dimensional
Gases
Modeling
Demonstrate
Gas
Oils

Keywords

  • Betti numbers
  • Bottleneck distance
  • Euler characteristic
  • Geological modeling
  • Oil and gas reservoirs
  • Persistent homology

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Baikov, V. A., Gilmanov, R. R., Taimanov, I. A., & Yakovlev, A. A. (2017). Topological characteristics of oil and gas reservoirs and their applications. In A. Holzinger, R. Goebel, M. Ferri, & V. Palade (Eds.), Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Revised Selected Papers (pp. 182-193). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10344 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-319-69775-8_11

Topological characteristics of oil and gas reservoirs and their applications. / Baikov, V. A.; Gilmanov, R. R.; Taimanov, I. A.; Yakovlev, A. A.

Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Revised Selected Papers. ed. / Andreas Holzinger; Randy Goebel; Massimo Ferri; Vasile Palade. Springer Verlag, 2017. p. 182-193 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10344 LNAI).

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

Baikov, VA, Gilmanov, RR, Taimanov, IA & Yakovlev, AA 2017, Topological characteristics of oil and gas reservoirs and their applications. in A Holzinger, R Goebel, M Ferri & V Palade (eds), Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10344 LNAI, Springer Verlag, pp. 182-193, BIRS Workshop on Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets, 2015, Banff, Canada, 24.7.15. https://doi.org/10.1007/978-3-319-69775-8_11
Baikov VA, Gilmanov RR, Taimanov IA, Yakovlev AA. Topological characteristics of oil and gas reservoirs and their applications. In Holzinger A, Goebel R, Ferri M, Palade V, editors, Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Revised Selected Papers. Springer Verlag. 2017. p. 182-193. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-69775-8_11
Baikov, V. A. ; Gilmanov, R. R. ; Taimanov, I. A. ; Yakovlev, A. A. / Topological characteristics of oil and gas reservoirs and their applications. Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Revised Selected Papers. editor / Andreas Holzinger ; Randy Goebel ; Massimo Ferri ; Vasile Palade. Springer Verlag, 2017. pp. 182-193 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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