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Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy
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Publications with tag: CRM
Physical and Mathematical Modeling. Oil, Gas, Energy
Releases
2015, Vol. 1
№1(1)
№2(2)
№3(3)
№4(4)
2016, Vol. 2
№1
№2
№3
№4
2017, Vol. 3
№1
№2
№3
№4
2018, Vol. 4
№1
№2
№3
№4
2019, Vol. 5
№1
№2
№3
№4 (20)
2020. Vol. 6
№ 1 (21)
№ 2 (22)
№ 3 (23)
№ 4 (24)
2021. Vol. 7
№ 1 (25)
№ 2 (26)
№ 3 (27)
№ 4 (28)
2022. Vol. 8
№ 1 (29)
№ 2 (30)
№ 3 (31)
№ 4 (32)
2023. Vol. 9
№ 1 (33)
№ 2 (34)
№ 3 (35)
№ 4 (36)
2024. Vol. 10
No. 1 (37)
No. 2 (38)
Releases Archive
Bulletin of Tyumen State University. Physics and mathematics. Informatics (№4, 2012)
Bulletin of Tyumen State University. Physics and mathematics. Informatics (№7, 2013)
Bulletin of Tyumen State University. Physics and mathematics. Informatics (№7, 2014)
Editorial team
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List of Authors
Keywords
Application of advanced CRMP for reservoir pressure mapping
Alexander D. Bekman
,
Dmitry V. Zelenin
Influence of noisy input data in accuracy of well interference coefficients by linear regression method
Rodion M. Ganopolskij
Applying CRM Model to Study Well Interference
Alexander A. Ruchkin
,
Sergei V. Stepanov
,
Aleksandr V. Knyazev
,
Anatoliy V. Stepanov
,
Aleksandr V. Korytov
,
Igor N. Avsyanko
On the question of the regularities in the transformation of the parameters of the relative phase permeability with a change in the dimension of the oil reservoir model
Alexander D. Bekman
,
Sergei V. Stepanov
,
Dmitry V. Zelenin
A new approach to water cut forecasting based on results of capacitance resistance modeling
Alexander D. Bekman
,
Tatiana A. Pospelova
,
Dmitry V. Zelenin
Applying proxy-modeling tools to estimate the effective injection factor for an oil field
Vitaly P. Kosyakov
,
Emil N. Musakaev
,
Inna V. Gaydamak
Considerations on Mathematical Modeling of Producer-Injector Interference
Sergei V. Stepanov
,
Sergey V. Sokolov
,
Alexander A. Ruchkin
,
Anatoliy V. Stepanov
,
Aleksandr V. Knyazev
,
Aleksandr V. Korytov
Improving the quality of reservoir pressure gridding by regularizing the CRMP-TM history matching problem
Alexander D. Bekman
A new algorithm for finding CRM-model coefficients
Alexander D. Bekman
,
Sergei V. Stepanov
,
Alexander A. Ruchkin
,
Dmitry V. Zelenin