Flow pattern identification in oil wells by electromagnetic image logging

Petroleum production logging needs to determine the interpretation models first and flow pattern identification is the foundation, but traditional flow pattern identification methods have some limitations. In this paper, a new method of flow pattern identification in oil wells by electromagnetic image logging is proposed. First, the characteristics of gas-water and oil-water flow patterns in horizontal and vertical wellbores are picked up. Then, the continuous variation of the two phase flow pattern in the vertical and horizontal pipe space is discretized into continuous fluid distribution models in the pipeline section. Second, the electromagnetic flow image measurement responses of all the eight fluid distribution models are simulated and the characteristic vector of each response is analyzed in order to distinguish the fluid distribution models. Third, the time domain changes of the fluid distribution models in the pipeline section are used to identify the flow pattern. Finally, flow simulation experiments using electromagnetic flow image logging are operated and the experimental and simulated data are compared. The results show that the method can be used for flow pattern identification of actual electromagnetic image logging data.

电磁流动成像测井识别气-水层流的信号处理方法

针对大斜度或水平气井中最常见的气-水分层流动,研究利用电磁流动成像测井判别分层流和波状流的方法。首先,分析水平或微倾圆形管道内较常见的气-水两相流型在管道截面上的特征,建立流体分布模型;其次,模拟流体分布模型的电磁流动成像测井响应,分析仿真数据特点;再次,提取仿真数据中与流体分布相关的特征参数,该参数不仅用于判定流体分布模型,而且用于计算分层流模型中的水层高度,从而求取持水率;最后,研究水平气-水两相流型在流动截面上流体分布模型的变化规律,实现气-水层流判别。仿真数据研究结果表明,用这种方法可以实现气-水层流判别和持水率求取,避免了图像重建的过程,计算简单速度较快。