XRF技术在石油钻井岩屑分析中的应用研究

XRF analysis of oil drilling cuttings

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。

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.