A method for characterization of the turbulence properties of wet gas flow across a V-cone

摘要

The paper demonstrates the existence of a relationship between stochastic characteristics of the pressure signal and individual phase compositions and flow rates in "wet gas" flow. Neural networks can be trained on these stochastic characteristics to predict (measure) the flow rates of individual phases (liquid and gas).