中文摘要：

一个侵略电的抵抗 tomographic 传感器为生产登录被建议垂直油井。传感器由被修理到记载的工具的 24 个电极组成，它能搬到管道在不同深度在油 / 水混合流动的传导性分发上获得数据。一个基于敏感的算法被介绍重建代表性的图象。到油 / 水混合流动的分发的传感器的敏感上的分析被执行优化成像剖面图的位置。在管子墙和记载的工具用各种各样的边界条件获得的成像结果被比较。有各种各样的传导性分布的八个典型模型被创造，测量数据被解决传感器系统的前面的问题获得。图象重建然后被为每个模型使用模拟数据实现。在模型和重建的图象之间的比较证明数字和油水泡的空间分发能清楚地被识别。

英文摘要：

An invasive electrical resistance tomographic sensor was proposed for production logging in vertical oil well.The sensor consists of 24 electrodes that are fixed to the logging tool,which can move in the pipeline to acquire data on the conductivity distribution of oil/water mixture flow at different depths.A sensitivity-based algorithm was introduced to reconstruct the cross-sectional images.Analysis on the sensitivity of the sensor to the distribution of oil/water mixture flow was carried out to optimize the position of the imaging cross-section.The imaging results obtained using various boundary conditions at the pipe wall and the logging tool were compared.Eight typical models with various conductivity distributions were created and the measurement data were obtained by solving the forward problem of the sensor system.Image reconstruction was then implemented by using the simulation data for each model.Comparisons between the models and the reconstructed images show that the number and spatial distribution of the oil bubbles can be clearly identified.