Research On Flow-regime Of Gas-oil Two-phase Flow

The gas-oil multiphase flow is a common complex phenomenon in industrial field, its flow regime detection is always a problem which urgently awaits to be solved. The study of the flow regime measurement of two-phase flow is the main purpose of this dissertation, which presents the character of the two-phase flow, the classification of the flow regime and the measuring method, compareing the popular detecting technology in nation and abroad and introduces the design of a measuring method based on the above analysis.A new measuring method based on differential pressure and capacitance technique has been presented in the dissertation by using the mathematics algorithm of fuzzy C clustering as the foundation.The two-phase flow regime to be measured is supposed as bubble flow, slug flow, stratum flow and loop flow. The character of the different pressure signals, probability density function (PDF) and the character of the capacitance signal has been analyzed and the eigenvector of the two different signals above in different regimes has been extractived. By using the eigenvector of the capacitance and different pressure'PDF as the inputs of the fuzzy clustering, with the help of the multi-sensor data fusion technique, designs a measurement system based on the different pressure and capacitance techniques.The design of the flow regime recognition system has been presented in the dissertation, including the selection of metering equipment, the driver development of sampling card and system timer, application of multi-threading technique, serial communication and the measurement database in detail.At last, the rationality of the arithmetic has been demonstrated by the experimental data and simulating result.