...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Journal of Petroleum Science & Engineering >Bulk mineralogical characterisation of oilfield reservoir rocks and sandstones using Diffuse Reflectance Infrared Fourier Transform Spectroscopy and Partial Least Squares analysis
【24h】

Bulk mineralogical characterisation of oilfield reservoir rocks and sandstones using Diffuse Reflectance Infrared Fourier Transform Spectroscopy and Partial Least Squares analysis

机译：利用漫反射红外傅里叶变换光谱法和偏最小二乘分析法对油田储层岩石和砂岩进行大块矿物学表征

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The feasibility of applying Partial Least Squares(PLS)to the Diffuse Reflectance Infrared Fourier Transform Spectroscopy(DRIFTS)spectra of mineral mixtures,quarry sandstones and oilfield reservoir rocks has been investigated and shown considerable potential for accurate and precise mineralogical analysis.Rapid spectrum acquisition and data processing together with small sample size requirements are key advantages of the PLS-DRIFTS method.A PLS model was created from the DRIFTS spectra of mixtures of seven mineral standards chosen to represent the most frequently encountered minerals in sandstone-type rocks;quartz,dolomite,montmorillonite,illite,kaolinite,chlorite and albite.The PLS-DRIFTS model was able to quantify the mineral components of independent mixtures with an absolute error of 1 wt.% for all the minerals(concentration range 0-30 wt.%)with the exception of quartz which exhibited an absolute error of 3 wt.%(concentration range 50-90 wt.%).The results provided by applying this PLS-DRIFTS model to several sandstone-type quarry rocks and a suite of oilfield reservoir rocks were considerably better than anticipated even though the model did not describe all the mineral components present in the samples nor the entire variance of constituent mineral components(e.g.crystallinity).The model was not able to differentiate between montmorillonite and illite probably due to the similarity of the DRIFTS spectra of these minerals,but it was able to quantify the combined(montmorillonite+illite)concentrations to within 1 wt.%.The model over-predicted the concentration of albite in the quarry rocks due to the presence of K-feldspar,which has a similar DRIFTS spectrum and was not included in the model.However,the model accurately predicted the total(albite and K-feldspar)concentration to within 4 wt.%.A separate PLS-DRIFTS model constructed using the DRIFTS spectra of the oilfield reservoir rocks showed that the carbonate components,calcite and dolomite could be differentiated and quantified to within 5.0 and 3.6 wt.%,respectively.This feasibility study confirmed the strong potential of combining DRIFTS with a multivariate statistical approach such as PLS and it is clear that more sophisticated models,that incorporates and describes a higher percentage of the variance in unknowns,would further improve the predictions.
机译：研究了将偏最小二乘（PLS）应用于矿物混合物，采石场砂岩和油田储集岩的漫反射红外傅里叶变换光谱（DRIFTS）光谱的可行性，并显示出了进行准确，精确的矿物学分析的巨大潜力。数据处理以及小样本量要求是PLS-DRIFTS方法的主要优势.PLS模型是根据7种矿物标准品的混合物的DRIFTS光谱创建的，这些标准品代表了砂岩型岩石中最常见的矿物;石英，白云石，蒙脱石，伊利石，高岭石，绿泥石和钠长石。PLS-DRIFTS模型能够定量分析所有矿物（浓度范围为0-30 wt。％）时独立混合物的矿物成分，绝对误差为1 wt。％。石英的绝对误差为3 wt。％（浓度范围50-90 wt。％）。通过应用此P提供的结果LS-DRIFTS模型对几个砂岩型采石场和一套油田储集层的岩石比预期的要好得多，即使该模型没有描述样品中存在的所有矿物成分或组成矿物成分的整体变化（例如结晶度）该模型无法区分蒙脱土和伊利石，可能是由于这些矿物的DRIFTS光谱相似，但它能够将蒙脱土+伊利石的总浓度定量到1 wt。％之内。由于存在钾长石（具有相似的DRIFTS谱，因此未包含在模型中）预测了石中钠长石的浓度。但是，该模型准确地预测了总（轨道和钾长石）浓度在4wt。％。使用油田储层岩石的DRIFTS光谱构建的单独的PLS-DRIFTS模型表明，碳酸盐组分，方解石和白云石可能存在差异。这项可行性研究证实了将DRIFTS与多元统计方法（如PLS）相结合的强大潜力，很显然，更复杂的模型可以合并并描述较高百分比的模型。未知数的变化将进一步改善预测。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号