一种新的过套管电阻率测井数据预处理方法

New data pre-processing method of through casing resistivity logging

为解决传统的过套管电阻率测井数据预处理方法存在的主观性强,适用性较差以及不能反映地层中的薄层信息,连续曲线分辨率低等问题,设计了一种新的数据预处理方法。首先采用数据清洗原理剔除同一深度上的异常测量值,再根据信号稀疏表示原理,构建观测矩阵和稀疏变换矩阵,通过最优化算法及约束条件求解信号的稀疏表示系数,得到等深度间隔的连续过套管电阻率测井曲线。在SL油田5口井数据上的实验结果为数据中的异常测量值得到了有效剔除,且形成的连续测井曲线与裸眼井微电位曲线具有良好的薄层对应性。结果表明,所提方法形较传统的预处理方法,适用性好,具备较强的薄层分辨能力和更大的推广应用价值,且形成的软件通过在SL油田动态监测中的应用,为油田开发和持续稳产提供了有力的技术支撑。

To solve the problem of worse feasibility, lower resolution of continuous curve without thin beds information in stratum of traditional data pre-processing methods in through casing resistivity logging, a new data pre-processing method is designed in this paper. Abnormal values on same depth are eliminated by data cleaning theory and the sparse representing coefficients of signal are solved by optimizing algorithm and constraints through constructing observation matrix and sparse transforming matrix based on signal sparse representing theory to get the continuous through casing resistivity logging curve with equal space of depth interval. Experimental result is that abnormal values are eliminated effectively and formed logging curves by this method has good correspondence of thin beds with open-hole micronormal curves on logging data of five wells in SL oilfield. Results show that compared with traditional pre-processing methods, the method has good usability, stronger thin beds dividing ability and more greater application value. The implemented software provides powerful technical support for development and sustained and stable production in the oilfield during the application of dynamic supervising of SL oilfield.