改进LMS时延估计算法在油气水三相流流量测量中的应用

摘要

油气水三相流流量测量是油气田开发动态监测普遍存在的问题，其测量的准确与否对油气田开发具有重要意义。本文提出一种基于最大似然LMS自适应时延估计的改进算法，该算法首先通过小波变换对采集数据进行滤波以减小LMS自适应时延估计的误差；然后采用改进的最大似然加权函数对计算结果进行修正，以使计算结果更加准确，收敛更加迅速。在大庆油田模拟井实验平台上对改进算法进行了验证，为准确测量油气水三相流流量提供了一种可行的方法。%The flow rate measurement of oil-gas-water three-phase flow is a common problem in the dynamic monitoring of oil-gas field, and the accuracy is great significance in the development of oil-gas field. A LMS adaptive time delay estimation algorithm based on the maximum likelihood estimation is proposed. Firstly, the filtering method of wavelet transform is used in this improved algorithm for reducing the error of LMS adaptive time delay estimation. Then the machine's maximum likelihood weighted function is used for making the results accurate and rapid convergence. Finally, the experiments are performed in the simulation well of Daqing oilfield, and the results indicate this improved algorithm is a feasible method for the flow rate measurement of oil-gas-water three-phase flow.