Exact(2)
Foamy oil behavior contributes significantly to the anomalously high primary recovery of heavy oils observed in the Orinoco Belt, Venezuela.
The unconventional method was used to simulate the foamy oil behavior, that is the PVT cell was not rocked, avoiding a rapid artificial nucleation of the gas micro-bubbles and hence forming a separated gas phase.
Similar(57)
Also to predict the nano-oil behavior, neural network method was utilized.
The information presented in this paper can be used to augment computer-based models designed to predict oil-spill trajectories, oil-weathering behavior, and spilled oil impacts to the marine environment.
It is true, as you say, that oil market behavior has often been unpredictable.
Although Russia is one of the primary exporters of oil, its behavior in this regard is at least predictable.
This study provided greater understanding of oil mist behavior.
Through the present research, crude oil pumping behavior has been predicted, analyzed and compared with other fluids.
The different experimental results give large information about the oil mist behavior sprayed on the glass plate.
Crude oil rheological behavior in a sand pack (single-phase flow) has similar trends as bulk crude-oil viscometer measurements.
Aminian and Shahhosseini [6] evaluated the artificial neural network (ANN) modeling, for the prediction of crude oil fouling behavior in preheat exchangers of crude oil distillation units.
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