关键词:

介电常数, 电导率, 人工神经网络, 原油含水率

Abstract:

In order to improve measurement accuracy and widen measurement range for water content in crude oil, a computation method based on the electrical measurement of multiple modes was proposed in this paper.By the study of oil-water mixture, it could be mainly classified into four different modes.The relationship between water content in crude oil and permittivity as well as conductivity for the different modes can be established by using the FEA (finite element analysis) method, and the different states will be accurately recognized based on self-organizing neural network.The experimental results demonstrated that the different modes of oil-water mixture can be identified by computing the permittivity and conductivity.Therefore, the on-line measurement accuracy and range of the water content in crude oil can be improved effectively.

Key words:

介电常数, 电导率, 人工神经网络, 原油含水率