Oil gas water multiphase flow type identification method based on main component analysis and supporting vector machine

Abstract

The invention relates to an oil / gas / water multi-phase flow type identification method based on main constituent analysis and supporting vector machine. The feature is that: taking collection to flow parameter signal of different flow type by using horizontal tubes, pressure sampling ring, pressure sampling tube, pressure difference transmitter, data collection card and computer; taking denoising processing to pressure difference fluctuation signal between the collected different pressure sampling distance; taking empiric model decomposition to the signal to gain the fixed modal function, and forming a matrix X from the modal functions, using the main constituent analysis to gain the eigenvector of the flow type; using the supporting vector machine to accomplish the mapping from feature space to flow type space to realize the final flow type identification. The eigenvector fusing the information from plural sensors and would fully reflect the information of flow type. It has the feature of rapid learning speed and strong classifying ability.

Description

technical field [0001] The invention relates to the technical field of multiphase flow measurement, in particular to a flow pattern recognition method for oil-gas-water multiphase flow based on principal component analysis and support vector machines. Background technique [0002] There are two types of traditional flow pattern identification methods: one is to use experimental methods to make flow pattern diagrams; the other is to use the flow parameters on site to determine the flow pattern based on the transformation criterion relational formula obtained from the analysis of the flow pattern transformation mechanism. . Because flow parameters are often the problem to be solved in actual production, traditional methods cannot be widely used. [0003] The modern measurement methods of flow patterns can be divided into direct measurement and indirect measurement methods from the working principle. Commonly used direct measurement methods include visual inspection, high-spe...

AI Technical Summary

Problems solved by technology

Existing methods mainly use a single pressure or differential pressure fluctuation signal to extract a single feature of the signal, resulting in the extracted features not being able to fully reflect the flow pattern information, resulting in a low rate of flow pattern recognition

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