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Valeriy Rukavishnikov (Валерий Рукавишников)
Valeriy Rukavishnikov (Валерий Рукавишников)
Verified email at hw.tpu.ru
Title
Cited by
Cited by
Year
Nanoparticle applications as beneficial oil and gas drilling fluid additives: A review
M Al-Shargabi, S Davoodi, DA Wood, A Al-Musai, VS Rukavishnikov, ...
Journal of Molecular Liquids 352, 118725, 2022
732022
Experimental and field applications of nanotechnology for enhanced oil recovery purposes: A review
S Davoodi, M Al-Shargabi, DA Wood, VS Rukavishnikov, KM Minaev
Fuel 324, 124669, 2022
672022
Carbon dioxide applications for enhanced oil recovery assisted by nanoparticles: Recent developments
M Al-Shargabi, S Davoodi, DA Wood, VS Rukavishnikov, KM Minaev
ACS omega 7 (12), 9984-9994, 2022
642022
Review of technological progress in carbon dioxide capture, storage, and utilization
S Davoodi, M Al-Shargabi, DA Wood, VS Rukavishnikov, KM Minaev
Gas Science and Engineering, 205070, 2023
352023
Predicting shear wave velocity from conventional well logs with deep and hybrid machine learning algorithms
M Rajabi, O Hazbeh, S Davoodi, DA Wood, PS Tehrani, H Ghorbani, ...
Journal of Petroleum Exploration and Production Technology 13 (1), 19-42, 2023
322023
Thermally stable and salt-resistant synthetic polymers as drilling fluid additives for deployment in harsh sub-surface conditions: A review
S Davoodi, M Al-Shargabi, DA Wood, VS Rukavishnikov, KM Minaev
Journal of Molecular Liquids 371, 121117, 2023
282023
Permeability prediction of heterogeneous carbonate gas condensate reservoirs applying group method of data handling
MZ Kamali, S Davoodi, H Ghorbani, DA Wood, N Mohamadian, ...
Marine and Petroleum Geology 139, 105597, 2022
272022
Insights into application of acorn shell powder in drilling fluid as environmentally friendly additive: filtration and rheology
VRKM S. Davoodi, A. Ramazani S.A.
International Journal of Environmental Science and Technology, 2020
27*2020
Machine-learning predictions of solubility and residual trapping indexes of carbon dioxide from global geological storage sites
S Davoodi, HV Thanh, DA Wood, M Mehrad, VS Rukavishnikov, Z Dai
Expert Systems with Applications 222, 119796, 2023
252023
A comprehensive review of beneficial applications of viscoelastic surfactants in wellbore hydraulic fracturing fluids
S Davoodi, M Al-Shargabi, DA Wood, VS Rukavishnikov
Fuel 338, 127228, 2023
242023
A critical review of self-diverting acid treatments applied to carbonate oil and gas reservoirs
M Al-Shargabi, S Davoodi, DA Wood, M Ali, VS Rukavishnikov, ...
Petroleum Science 20 (2), 922-950, 2023
172023
Combined machine-learning and optimization models for predicting carbon dioxide trapping indexes in deep geological formations
S Davoodi, HV Thanh, DA Wood, M Mehrad, VS Rukavishnikov
Applied Soft Computing 143, 110408, 2023
152023
Machine-learning models to predict hydrogen uptake of porous carbon materials from influential variables
S Davoodi, HV Thanh, DA Wood, M Mehrad, M Al-Shargabi, ...
Separation and Purification Technology 316, 123807, 2023
152023
Hybridized machine-learning for prompt prediction of rheology and filtration properties of water-based drilling fluids
S Davoodi, M Mehrad, DA Wood, H Ghorbani, VS Rukavishnikov
Engineering Applications of Artificial Intelligence 123, 106459, 2023
142023
Synthetic polymers: A review of applications in drilling fluids
S Davoodi, M Al-Shargabi, DA Wood, VS Rukavishnikov, KM Minaev
Petroleum Science, 2023
132023
Machine learning clustering of reservoir heterogeneity with petrophysical and production data
D Konoshonkin, G Shishaev, I Matveev, A Volkova, V Rukavishnikov, ...
SPE Europec featured at EAGE Conference and Exhibition?, D011S007R003, 2020
132020
How does the definition of the objective function influence the outcome of history matching?
G Eremyan, I Matveev, G Shishaev, V Rukavishnikov, V Demyanov
ECMOR XVII 2020 (1), 1-14, 2020
132020
Automatic Interpretation of Facies from Wireline Logs by Using Hierarchical Machine Learning Approach
DV Egorov, NV Bukhanov, BV Belozerov, VS Rukavishnikov
Saint Petersburg 2018 2018 (1), 1-5, 2018
82018
Dynamic cluster analysis for updating simulation model using time-lapse seismic
V Rukavishnikov, S Kurelenkov
74th EAGE Conference and Exhibition incorporating EUROPEC 2012, cp-293-00844, 2012
82012
Сравнительный анализ физических свойств и экономической эффективности буровых растворов с нанодобавками
Д Шадфар, ГА Еремян, АВ Степико, ВС Рукавишников, КМ Минаев
Известия Томского политехнического университета. Инжиниринг георесурсов 332 …, 2021
62021
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