Multi-phase flow measurement method and system based on uncertainty analysis

Abstract

The invention discloses a multi-phase flow measurement method and system based on uncertainty analysis. The method comprises the following steps of: based on an equivalent flow of cross-correlation time delay and a capacitance measurement value, obtaining liquid phase flow and relative standard uncertainty thereof, and gas phase flow and standard uncertainty thereof through multiple linear regression fitting; based on the capacitance measurement value and a differential pressure measurement value, obtaining liquid phase flow and relative standard uncertainty thereof as well as gas phase flow and standard uncertainty thereof through multiple linear regression fitting; on the basis of the differential pressure measurement value and the equivalent flow of cross-correlation time delay, obtaining liquid phase flow and relative standard uncertainty thereof as well as gas phase flow and standard uncertainty thereof through multiple linear regression fitting; and comparing the uncertainties obtained in different modes, and taking the gas and liquid flow corresponding to the minimum uncertainty and the uncertainty as quality indexes for flow measurement. Errors of measurement results can be reduced, and operation and maintenance personnel can be helped to know the accuracy of the measurement results.

Description

technical field [0001] The invention relates to the technical field of oil-gas-water multiphase flow measurement in the oil and gas industry, and more specifically, relates to a multiphase flow measurement method and system based on uncertainty analysis. Background technique [0002] In the research and application of multiphase flow testing, people tend to use the concept of error to evaluate the pros and cons of instruments or algorithms, and seldom conduct in-depth research on measurement uncertainty. This is mainly because multiphase flow algorithms usually use empirical correlation and iterative algorithms, which lead to complex calculation of uncertainty. At the same time, the key parameters and specific algorithms necessary for uncertainty assessment are sometimes difficult to find from open literature, which increases the difficulty of research to a certain extent. Since the measurement error can only be calculated when the true value is known, and the result has a ...

AI Technical Summary

Problems solved by technology

[0005] However, the accuracy and applicability of uncertainty assessment for measuring multiphase flow still need to be improved

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