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100 _a20200115d2018 k y0engy50 ba
101 0 _aeng
135 _adrcn ---uucaa
181 0 _ai
182 0 _ab
200 1 _aTopological Characteristics of Digital Models of Geological Core
_fR. R. Gilmanov [et al.]
203 _aText
_celectronic
300 _aTitle screen
320 _a[References: p. 281 (10 tit.)]
330 _aWe discuss the possibility of applying stochastic approaches to core modeling by using tools of topology. The study demonstrates the prospects of applying topological characteristics for the description of the core and the search for its analogs. Moreover application of topological characteristics (for example, in conjunction with machine learning methods) in the long term will make it possible to obtain petrophysical properties of the core samples without carrying out expensive and long-term filtration experiments.
333 _aРежим доступа: по договору с организацией-держателем ресурса
461 _tLecture Notes in Computer Science
463 _tVol. 11015 : Machine Learning and Knowledge Extraction
_oproceedings of International Cross-Domain Conference for Machine Learning and Knowledge Extraction CD-MAKE 2018, Hamburg, Germany, August 27–30, 2018
_v[P. 273-281]
_d2018
610 1 _aэлектронный ресурс
610 1 _aтруды учёных ТПУ
610 1 _ageological modeling
610 1 _aBetti numbers
610 1 _adigital core
610 1 _atopological characteristics
610 1 _aгеологическое моделирование
610 1 _aтопологические характеристики
701 1 _aGilmanov
_bR. R.
_gRustem
701 1 _aKalyuzhnyuk
_bA. V.
_gAlexander
701 1 _aTaimanov
_bI. A.
_gIskander
701 1 _aYakovlev
_bA. A.
_cspecialist in the field of petroleum engineering
_cFirst Vice-Rector, Associate Professor of Tomsk Polytechnic University, Doctor of physical and mathematical sciences
_f1981-
_gAndrey Alexandrovich
_2stltpush
_3(RuTPU)RU\TPU\pers\45819
712 0 2 _aНациональный исследовательский Томский политехнический университет
_bИнженерная школа природных ресурсов
_bОтделение нефтегазового дела
_h8084
_2stltpush
_3(RuTPU)RU\TPU\col\23546
801 2 _aRU
_b63413507
_c20200115
_gRCR
856 4 _uhttps://doi.org/10.1007/978-3-319-99740-7_19
942 _cCF