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首页> 外文期刊>Microchemical Journal: Devoted to the Application of Microtechniques in all Branches of Science >Exploratory data analysis using API gravity and V and Ni contents to determine the origins of crude oil samples from petroleum fields in the Espirito Santo Basin (Brazil)
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Exploratory data analysis using API gravity and V and Ni contents to determine the origins of crude oil samples from petroleum fields in the Espirito Santo Basin (Brazil)

机译:使用API​​重力和V和Ni含量进行探索性数据分析,以确定来自圣埃斯皮里图盆地(巴西)油田的原油样品的来源

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In this paper, the Ni and V contents in 64 crude oil samples (API gravity between 10 and 40) from four oil fields in the Espirito Santo sedimentary basin, located on the southeastern Brazilian coast, were quantified using atomic absorption spectrometry. The results were used in an exploratory analysis in which principal component analysis (PCA) and linear discriminant analysis (LDA) were applied to differentiate the crude oil samples. A PCA model with two components (PCs) explained 96.8% of the total variance. The weights from the PCA indicated that the V/Ni ratio allows for proper separation of crude oils with marine origins from those with lacustrine origins. In addition, the Ni and V contents and the API gravity are the principal variables that allow for the separation of samples from different fields. PCA was shown to be a useful tool for the identification of sample patterns in relation to the origin of the crude oil, indicating that the technique could be an important area for petroleum exploration studies. The sample groups categorized based on PCA scores were confirmed using the supervised LDA classification method. (C) 2015 Elsevier B.V. All rights reserved.
机译:本文使用原子吸收光谱法定量分析了巴西东南沿海埃斯皮里图(Espirito Santo)沉积盆地中四个油田的64个原油样品(API比重在10至40之间)中的镍和钒含量。结果用于探索性分析,在其中进行了主成分分析(PCA)和线性判别分析(LDA)来区分原油样品。具有两个成分(PC)的PCA模型解释了总方差的96.8%。 PCA的重量表明,V / Ni比值可以将海洋来源的原油与湖相来源的原油适当分离。此外,Ni和V的含量以及API的比重是允许将样品从不同字段中分离出来的主要变量。 PCA被证明是用于识别与原油来源有关的样品模式的有用工具,这表明该技术可能是石油勘探研究的重要领域。使用有监督的LDA分类方法确认基于PCA得分分类的样本组。 (C)2015 Elsevier B.V.保留所有权利。

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