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XRF技术在石油钻井岩屑分析中的应用研究
XRF analysis of oil drilling cuttings
【摘要】 本文将X射线荧光分析技术用于石油钻井现场对岩屑进行在线跟踪监测分析,针对粉末状岩屑现场连续取样,并采用多层前馈神经网络BP(Back Propagation)模型,通过数据处理将不同岩层岩性用二进制代码描述,直接输出岩性或岩层的目标向量。
【Abstract】 X-ray fluorescence analysis has been used to track and monitor the on-site analysis of rock cuttings in oil drilling field. BP (Back Propagation) models of multi-layer neural networks were established to describe different lithology of strata by the binary code through continuously sampling powder-like rock cuttings at the scene.
【关键词】 X射线荧光分析;
岩性识别;
神经网络;
【Key words】 X-ray fluorescence analysis; Lithology identification; Neural networks;
【Key words】 X-ray fluorescence analysis; Lithology identification; Neural networks;
- 【文献出处】 核技术 ,Nuclear Techniques , 编辑部邮箱 ,2008年12期
- 【分类号】TE21
- 【被引频次】10
- 【下载频次】257