Development of a Real-Time Objective Gas-Liquid Flow Regime Identifier Using Kernel Methods.

Currently, flow regime identification for closed channels has mainly consisted of direct subjective methods. This presents a challenge when dealing with opaque test sections of the pipe or at gas-liquid flow rates where unclear regime transitions occur. In this paper, we develop a novel real-time objective flow regime identification tool using conductance data and kernel methods.