103 citations · 112 across the 5 of their papers we have counts for
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eess.SY2019★ 3 cited
Data-driven model for hydraulic fracturing design optimization: focus on building digital database and production forecast
A. D. Morozov, D. O. Popkov, V. M. Duplyakov +6
Growing amount of hydraulic fracturing (HF) jobs in the recent two decades resulted in a significant amount of measured data available for development of predictive models via mach…
physics.data-an2019★ 103 cited
A Predictive Model for Steady-State Multiphase Pipe Flow: Machine Learning on Lab Data
Evgenii Kanin, Andrei Osiptsov, Albert Vainshtein +1
Engineering simulators used for steady-state multiphase pipe flows are commonly utilized to predict pressure drop. Such simulators are typically based on either empirical correlati…