Research of Imaging Interpretation Model of CAT Logging Data

被引:2
|
作者
Dong Yong [1 ]
Li Mengxia [2 ]
机构
[1] Yangtze Univ, Sch Informat & Math, Jingzhou 434023, Hubei, Peoples R China
[2] Yangtze Univ, Petr Engn Coll, Wuhan 430100, Hubei, Peoples R China
基金
中国国家自然科学基金; 湖北省教育厅重点项目;
关键词
Production logging; CAT; Flow imaging; Gaussian weighting function; Correction coefficient;
D O I
10.18280/ijht.340107
中图分类号
O414.1 [热力学];
学科分类号
摘要
The capacitance array tool (CAT) uses twelve probes distributed symmetrically to measure the response at different azimuths in the wellbore. It is especially suitable to measure highly-deviated wells and horizontal wells, and can intuitively reflect the phase distribution of fluid in the wellbore to image the logging information. This paper considers the dynamic subdivision of instrument rotation, and an imaging algorithm based on the modified Gaussian weighting function is proposed. This algorithm uses different parameters, vertically and horizontally, to adapt to the stratification phenomenon of fluid. In order to improve adaptability, the algorithm introduces the correction coefficient which is determined by using optimization. The results show that the imaging effect coincides well with the corresponding photographs.
引用
收藏
页码:47 / 50
页数:4
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