摘要
针对套管井中仪器偏心对超声电视图像的影响,提出了一种根据套管井中实际测井数据统计估计偏心影响,进而实现对套管井中偏心图像进行校正的算法。该算法很好地消除由仪器偏心所引起的图像垂直暗带,使得超声电视图像中的细节更加清晰。该算法不需要实际测井的相关参数,比基于数学模型的偏心校正算法复杂度要小。实验结果证明,该算法能比较准确地校正仪器偏心对超声电视图像的影响,效果良好,在超声电视测井中具有实用价值。
Due to impact of tool eccentricity on the ultrasonic television logging images, proposed is an algorithm of estimating effects of tool eccentricity according to the statistical log data in casing well, then, eccentricity images are corrected in the casing well. The algorithm can remove vertical image dark stripes caused by the tool eccentricity, so, the images become clearer. The algorithm does not need correlative log parameters and is easier than the eccentricity algorithm based on mathematical model. The experimental results show that the algorithm can accurately correct the television images caused by the tool eccentricity, the effect of image correction is well, and has very important practical significance in ultrasonic imaging logging.
出处
《测井技术》
CAS
CSCD
北大核心
2011年第6期528-531,共4页
Well Logging Technology
基金
国家"863"计划重点科研项目"先进测井技术与装备"课题"方位声波成像测井技术研究"
编号:2006AA060103
关键词
超声电视测井
套管井
仪器偏心
图像校正
算法
ultrasonic televison logging, casing well, tool eccentricity, image correction, algo-rithm
