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Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy
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Publications with tag: inverse problem
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)
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Keywords
The problem of the combined use of filtration theory and machine learning elements for solving the inverse problem of restoring the hydraulic conductivity of an oil field
Vitaly P. Kosyakov
,
Dmitry Yu. Legostaev
,
Emil N. Musakaev
Using elements of machine learning to solve the inverse problem of reconstructing the hydraulic conductivity field for a filtration problem
Vitaly P. Kosyakov
,
Dmitry Yu. Legostaev
Application of advanced CRMP for reservoir pressure mapping
Alexander D. Bekman
,
Dmitry V. Zelenin
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
Study of the predictive ability of the CRM analytical material balance model as a part of a retrospective test on a real field
Nikita O. Shevtsov
,
Aleksandr V. Korytov
The study of the predictive ability of numerical and analytical models (the case of mutual well impact evaluation)
Nikita O. Shevtsov
,
Sergei V. Stepanov
,
Tatiana A. Pospelova
Simulation of liquid production and water cut dynamics using fluid flow model and neural networks
Dmitry Yu. Legostaev
,
Vitaly P. Kosyakov
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
The method for modeling the development of a gas field on the basis of a hierarchy of mathematical models
Vitaly P. Kosyakov
,
Amir A. Gubaidullin
,
Dmitry Yu. Legostaev