Topological characteristics of oil and gas reservoirs and their applications

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

doi:10.1007/978-3-319-69775-8_11

Topological characteristics of oil and gas reservoirs and their applications

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

Кафедра геометрии и топологии ММФ

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

3 Цитирования (Scopus)

Аннотация

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

Язык оригинала	английский
Название основной публикации	Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Revised Selected Papers
Редакторы	A Holzinger, R Goebel, M Ferri, Palade
Издатель	Springer-Verlag GmbH and Co. KG
Страницы	182-193
Число страниц	12
Том	10344 LNAI
ISBN (печатное издание)	9783319697741
DOI	https://doi.org/10.1007/978-3-319-69775-8_11
Состояние	Опубликовано - 2017
Событие	BIRS Workshop on Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets, 2015 - Banff, Канада Продолжительность: 23 июл 2015 → 25 июл 2015

Серия публикаций

Название	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том	10344 LNAI
ISSN (печатное издание)	0302-9743
ISSN (электронное издание)	1611-3349

Конференция

Конференция	BIRS Workshop on Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets, 2015
Страна	Канада
Город	Banff
Период	23.07.2015 → 25.07.2015

Доступ к документу

10.1007/978-3-319-69775-8_11

Link to publication in Scopus

Fingerprint Подробные сведения о темах исследования «Topological characteristics of oil and gas reservoirs and their applications». Вместе они формируют уникальный семантический отпечаток (fingerprint).

Цитировать

Baikov, V. A., Gilmanov, R. R., Taimanov, I. A., & Yakovlev, A. A. (2017). Topological characteristics of oil and gas reservoirs and their applications. В A. Holzinger, R. Goebel, M. Ferri, & Palade (Ред.), Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Revised Selected Papers (Том 10344 LNAI, стр. 182-193). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 10344 LNAI). Springer-Verlag GmbH and Co. KG. 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. редактор / A Holzinger ; R Goebel ; M Ferri ; Palade. Том 10344 LNAI Springer-Verlag GmbH and Co. KG, 2017. стр. 182-193 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

@inproceedings{42387479f77e4b57a368a5eb98627550,

title = "Topological characteristics of oil and gas reservoirs and their applications",

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

keywords = "Betti numbers, Bottleneck distance, Euler characteristic, Geological modeling, Oil and gas reservoirs, Persistent homology, PERSISTENCE",

author = "Baikov, {V. A.} and Gilmanov, {R. R.} and Taimanov, {I. A.} and Yakovlev, {A. A.}",

year = "2017",

doi = "10.1007/978-3-319-69775-8_11",

language = "English",

isbn = "9783319697741",

volume = "10344 LNAI",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer-Verlag GmbH and Co. KG",

pages = "182--193",

editor = "A Holzinger and R Goebel and M Ferri and Palade",

booktitle = "Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Revised Selected Papers",

address = "Germany",

note = "BIRS Workshop on Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets, 2015 ; Conference date: 23-07-2015 Through 25-07-2015",

}

Baikov, VA, Gilmanov, RR, Taimanov, IA & Yakovlev, AA 2017, Topological characteristics of oil and gas reservoirs and their applications. в A Holzinger, R Goebel, M Ferri & Palade (ред.), Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Revised Selected Papers. том. 10344 LNAI, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), том. 10344 LNAI, Springer-Verlag GmbH and Co. KG, стр. 182-193, BIRS Workshop on Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets, 2015, Banff, Канада, 23.07.2015. 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. ред. / A Holzinger; R Goebel; M Ferri; Palade. Том 10344 LNAI Springer-Verlag GmbH and Co. KG, 2017. стр. 182-193 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Том 10344 LNAI).

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференций › статья в сборнике материалов конференции › научная › рецензирование

TY - GEN

T1 - Topological characteristics of oil and gas reservoirs and their applications

AU - Baikov, V. A.

AU - Gilmanov, R. R.

AU - Taimanov, I. A.

AU - Yakovlev, A. A.

PY - 2017

Y1 - 2017

N2 - We demonstrate applications of topological characteristics of oil and gas reservoirs considered as three-dimensional bodies to geological modeling.

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

KW - Betti numbers

KW - Bottleneck distance

KW - Euler characteristic

KW - Geological modeling

KW - Oil and gas reservoirs

KW - Persistent homology

KW - PERSISTENCE

UR - http://www.scopus.com/inward/record.url?scp=85033555570&partnerID=8YFLogxK

U2 - 10.1007/978-3-319-69775-8_11

DO - 10.1007/978-3-319-69775-8_11

M3 - Conference contribution

AN - SCOPUS:85033555570

SN - 9783319697741

VL - 10344 LNAI

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 182

EP - 193

BT - Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Revised Selected Papers

A2 - Holzinger, A

A2 - Goebel, R

A2 - Ferri, M

A2 - Palade, null

PB - Springer-Verlag GmbH and Co. KG

T2 - BIRS Workshop on Advances in Interactive Knowledge Discovery and Data Mining in Complex and Big Data Sets, 2015

Y2 - 23 July 2015 through 25 July 2015

ER -

Baikov VA, Gilmanov RR, Taimanov IA, Yakovlev AA. Topological characteristics of oil and gas reservoirs and their applications. В Holzinger A, Goebel R, Ferri M, Palade, редакторы, Towards Integrative Machine Learning and Knowledge Extraction - BIRS Workshop, Revised Selected Papers. Том 10344 LNAI. Springer-Verlag GmbH and Co. KG. 2017. стр. 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