原油含水率的红外光谱快速检测技术

Infrared spectroscopy for rapid detection of moisture content in crude oil

该文旨在探索一种基于红外光谱技术的原油含水率快速检测方法,研究采用油田提供的3种MDT取样流体原油样本,每种原油制备5种含水率、5种矿化度,共计75个不同属性的油水乳状液。采集75个配制样本的红外光谱,进行波长筛选并用“一阶导数+减去一条直线+SG卷积平滑(17)”法对光谱进行预处理,对谱图进行分析,并用偏最小二乘法建立关于原油含水率的定量检测模型。最终建模相关系数R达到94.44%,交互验证均方根误差RMSECV为4.11,相对分析误差RPD为3.04;预测相关系数R为83.54%,预测均方根误差RMSEP为7.44,模型稳健性良好。研究表明红外光谱检测技术对于原油含水率检测具有可行性,为光谱技术应用于原油含水率在线检测奠定了基础,可为测井勘探技术提供一种新的途径。

Designed to develop an infrared-spectroscopy based method for rapid detection of moisture content in crude oil.75 oil-water emulsion samples were generated from three kinds of MDT sampling fluid crude oil sample provided by oilfield,which was made to hold 5 different moisture contents and 5 different salinities contents.75 collected infrared spectra data were screened using their wave numbers and preprocessed using“first derivative+minus one straight line+Savitzky-Golay(17)”.A quantitative test model was established for the moisture content of crude oil by partial least squares.The robustness of the model was good.The modeling correlation coefficient was 94.44%,the root mean square error of calibration validation was 4.11,the residual predictive deviation was 3.04,the prediction correlation coefficient was 83.54%,and the root mean square error of prediction was 7.44.It is proved that the infrared spectrum is feasible for determining water content of crude oils,which lays a foundation for the online monitoring of moisture content in crude oil by spectroscopy technology,and provides a new reference route for logging exploration technology.