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首页> 外文期刊>Journal of Energy and Natural Resources >A comparison between statistical analysis and grey model analysis on assessed parameters of petroleum potential from organic materials
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A comparison between statistical analysis and grey model analysis on assessed parameters of petroleum potential from organic materials

机译：统计分析和灰色模型分析对有机材料石油潜力评估参数的比较

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This study aims to investigate the impact of changes in the Tmax and Ro% on the assessed parameters (S1, S2, S1+S2, HI, QI, BI, PI, TOC) of petroleum potential of organic materials. The samples studied include coals and coaly shales of Mushan Formation, Shihti Formation and Nanchuang Formation in NW Taiwan, coals and an oil shale from Mainland China, the well-drilled chip samples from NW Australia, in addition to the data of samples were included from literatures. This work will get on the detecting data of 10 parameters (S1, S2, S1+S2, TOC, HI, QI, BI, PI, Ro%, Tmax) and progressing statistical analysis, and focus the study on comparison between grey forecast of grey relational grade and regression model forecast. The results from statistical analysis (include temperature-treated samples were individually subjected to Rock-Eval analysis) of the all parameters data for all samples in this research project, not only be executed a linear regression, curve regression between any two parameters, and multivariate regression, but also be carried on the forecast of grey correlation grade of grey theory (include grey relational generating (Nominal-the-better-:Ro%; Larger-the-better-: Tmax, HI, QI, BI, S2, S1+ S2, S1; smaller-the-better-: TOC, PI) and globalization grey relational grade). So far, obtain roughly the consistency of results from two type predictive analysis. The constructed HI, QI and BI bands were broad at low maturities and gradually narrowed with increasing thermal maturity. The petroleum generation potential is completely exhausted at a vitrinite reflectance of 2.0-2.2% or a T_(max) of 510-520℃. An increase in HI and QI suggests extra petroleum potential related to changes in the structure of the organic material. A decline in BI signifies the start of the oil expulsion window and occurs within the vitrinite reflectance range 0.75-1.05 % or a T_(max) of 440-455 ℃. Furthermore, petroleum potential can be divided into four different parts based on the cross-plot of HI vs. %Ro. The area with the highest petroleum potential is located in section II with %Ro=0.6-1.0%, and HI>100. Oil generation potential is rapidly exhausted at section III with %Ro >1.0%. This result is in accordance with the regression curve of HI and QI with %Ro based on 97 samples with %Ro=1.0～5.6%.
机译：这项研究旨在调查Tmax和Ro％的变化对有机材料的石油潜力评估参数（S1，S2，S1 + S2，HI，QI，BI，PI，TOC）的影响。所研究的样品包括台湾西北部的木山组，什提组和南庄组的煤和煤页岩，中国大陆的煤和油页岩，澳大利亚西北部的钻探碎屑样品以及数据。文学。这项工作将获取10个参数（S1，S2，S1 + S2，TOC，HI，QI，BI，PI，Ro％，Tmax）的检测数据并进行统计分析，并将研究重点放在灰色预测的比较上。灰色关联度和回归模型预测。该研究项目中所有样品的所有参数数据的统计分析结果（包括对温度处理过的样品进行单独的Rock-Eval分析），不仅可以执行线性回归，任意两个参数之间的曲线回归以及多元分析，回归，但也可以进行灰色理论的灰色关联度预测（包括灰色关联生成（标称最佳：Ro％;更大更好：Tmax，HI，QI，BI，S2，S1 + S2，S1;较小的代表：TOC，PI）和全球化的灰色关联等级）。到目前为止，可以从两种类型的预测分析中大致获得结果的一致性。构建的HI，QI和BI波段在低成熟度时较宽，并随着热成熟度的增加而逐渐变窄。生成石油的潜力在2.0-2.2％的镜质反射率或510-520℃的T_（max）完全耗尽。 HI和QI的增加表明与有机材料结构变化有关的额外石油潜力。 BI的下降表示排油窗口的开始，并且发生在镜质体反射率0.75-1.05％或T_（max）440-455℃范围内。此外，根据HI与％Ro的关系图，石油潜力可分为四个不同的部分。石油潜力最高的地区位于第二部分，％Ro = 0.6-1.0％，HI> 100。在第三段，％Ro> 1.0％，产油潜力迅速耗尽。该结果与基于％Ro = 1.0〜5.6％的97个样本的HI和QI与％Ro的回归曲线一致。

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