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多源信息融合的测井曲线分层算法研究 被引量:3

Research on Multisource Information Fused Logging Curves Layering Algorithm
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摘要 测井数据解释中,针对单一测井曲线无法真实反映地层属性问题,提出以多条测井曲线的滤波因子为权值,融合出一条综合特征曲线,对该特征曲线相继采用层内差异法细分层与模糊聚类校正分层,实现特征曲线的合理分层。实验结果表明:该方法避免了海量数据处理过程,剔除了噪点数据的影响,提高了分层的速度与精度,能够为应用测井资料进行岩性识别、测井相分析、储层划分等研究提供有利的技术支撑。 In the field of logging data interpretation, due to single logging curve can not really reflect the strata attribute problems, a new method that fused a comprehensive characteristic curve by the weights which are fil- ter factors of more logging curves is put forward. Successively meticulous layering by using of inner difference method and corrected layering by using of fuzzy clustering, realize reasonable layering of the characteristic curve lastly. The experimental results show that this method can avoid mass data processing, eliminate the influ- ence of pixels data, improve the layering speed and precision, and provide the favorable technology supports for lithology identification, electrofacies analysis, reservoir division and so on.
出处 《测控技术》 CSCD 北大核心 2014年第1期19-22,共4页 Measurement & Control Technology
基金 国家自然科学基金资助项目(41172262 40802068) 西部矿产资源与地质工程教育部重点实验室项目(CHD2011SY015)
关键词 测井曲线分层 层内差异法 模糊聚类分析法 logging curves layering inner difference method fuzzy clustering
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