油田监测与分析系统核心算法修正

随着油田智能化发展的需要,传统的故障诊断、动液面、产量计量算法已不能满足油井问题在实时性和准确性方面的要求。针对目前国内外油井监测与分析系统中存在的问题,本文对系统核心算法故障诊断、动液面、产量计量进行修正。其中,故障诊断采用基于关联度函数修正的方法,并给出一种专家知识库实时更新完善策略。动液面算法采用物元分析的方法,通过建立物元模型确定油井的最优多相流算法。产量计算算法采用均值滤波的方法,通过消除示功图中复杂的频率部分精确求取示功图有效冲程。并对以上修正算法进行了仿真,提高了油井问题诊断的准确性和诊断效率,为智能油田提供理论基础。

Core algorithm modification of oil field monitoring and analysis system

With the development of intelligent Oilfield, the traditional fault diagnosis, dynamic surface and yield measurement algorithm can not meet the requirements of real-time and accuracy in the oil well problem. Aiming at the problems existing at home and abroad oil well monitoring and analysis system, the paper correct the system core algorithm of fault diagnosis, dynamic surface and yield measurement. Among them, the fault diagnosis method is based on correlation function correction, and present a real time updating strategy of expert knowledge base. The method of matter element analysis is used to determine the optimal multiphase flow in oil wells by using matter-element model. The yield measurement algorithm uses the method of mean filter to get the effective stroke of the indicator diagram by eliminating the complex frequency part of the indicator diagram. And simulate the above correction algorithm, improve the accuracy and efficiency of the diagnosis of oil well problems, provide theoretical basis for intelligent Oilfield.