神经网络在油水两相流动分析中的应用

Neural Network Approach to Two Phase Oil/Water Flow Analysis

研究了采用前馈型人工神经网络用于油水两相流动生产测井解释具体的方法，并设计了相应软件。对在大庆油田生产测井研究所模拟井上测得的实验数据进行试处理表明，人工神经网络在油水两相流动分析中的资料处理结果是可靠的，其精度可达到规定的要求，该方法在生产测井解释中可发挥重要作用。

The approach putting the back-propagation neural networks into effect in production logging interpretation for two phase oil/water flow is investigated. and the correspondent sofeware has designed. Trial processing is made for data measured from simulation wells of production logging institute of Daqing Oilfield. The results show that the back-propagation neural networks is reliable in data processing for two phase oil/water flow and the precise can meet the need of production.