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Application of PCA and HCA in geochemical parameters to distinguish depositional paleoenvironments from source rocks
Journal of South American Earth Sciences ( IF 1.7 ) Pub Date : 2020-11-01 , DOI: 10.1016/j.jsames.2020.102734
Rui Jesus Lorenzo Garcia , Jucelino Balbino da Silva Júnior , Ilene Matanó Abreu , Sarah Adriana Rocha Soares , Rennan Geovanny Oliveira Araujo , Eliane Soares de Souza , Hélio Jorge Severiano Ribeiro , Gisele Mara Hadlich , Antônio Fernando de Souza Queiroz

Abstract Oil-producing rocks can be characterized by organic, inorganic and palynological geochemical parameters to assess the quantity and quality of organic matter. In the present study, samples of source rocks collected from different formations (Fm) from the sedimentary basins of the Parnaiba (Pimentairas Formation) and Parana (Irati and Ponta Grossa Formations) were evaluated through the geochemical correlation between the types of organic matter and their different depositional paleoenvironments using chemometric tools. Among the inorganic geochemical parameters used in this evaluation are the concentrations and the diagnostic ratios between the transition elements (Co, Ni, V, and Mo) and internal transition (lanthanides and U). The analysis of the transition and internal transition elements were performed by ICP OES (Ni and V) and ICP MS (Co, Mo, La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Tm, Yb, Lu, and U). The organic geochemical parameters selected for the characterization of the quantity and quality of the organic matter present in the samples of source rocks involved the determination of their total carbon content (%TOC) and sulfur (%TS), of the potential generator (S2) the amount of hydrocarbons produced by Rock-Eval pyrolysis and the calculation of the hydrogen (HI) and oxygen (OI) indexes. To compose the matrix of the multivariate analysis (PCA), were used ratios Ni/Co, V/Ni, U/Mo, V/V + Ni, TOC/TS the values of S2, HI, OI and the sum of rare earth elements (REE). The kerogen type, obtained through the HI and OI data, were also included in the matrix, information on the origin of the organic matter, and on the type of depositional paleoenvironment of each sample, obtained from previous works. It was observed the formation of three groups of data characterizing the formations Irati, Ponta Grossa and Pimenteiras according to the type of kerogen and organic matter, and also of its depositional paleoenvironment, showing that the exploratory data analysis allows the obtaining of rapid and efficient information on the chemical similarity between the complex samples from each formation.

中文翻译:

PCA和HCA在地球化学参数中用于区分沉积古环境和烃源岩的应用

摘要 产油岩可以通过有机、无机和孢粉地球化学参数来表征有机质的数量和质量。在本研究中,从 Parnaiba(Pimentairas 组)和 Parana(Irati 和 Ponta Grossa 组)沉积盆地的不同地层 (Fm) 收集的烃源岩样品通过有机质类型与其类型之间的地球化学相关性进行了评估。不同的沉积古环境使用化学计量学工具。本次评估中使用的无机地球化学参数包括过渡元素(Co、Ni、V 和 Mo)与内部过渡(镧系元素和 U)之间的浓度和诊断比率。过渡元素和内部过渡元素的分析通过 ICP OES(Ni 和 V)和 ICP MS(Co、Mo、La、Ce、Pr、Nd、Sm、Eu、Gd、Tb、Dy、Ho、Tm、Yb 、卢和 U)。为表征烃源岩样品中存在的有机质的数量和质量而选择的有机地球化学参数涉及确定潜在发生器 (S2) 的总碳含量 (%TOC) 和硫 (%TS) Rock-Eval 热解产生的碳氢化合物的数量以及氢 (HI) 和氧 (OI) 指数的计算。为了构成多变量分析 (PCA) 的矩阵,使用比率 Ni/Co、V/Ni、U/Mo、V/V + Ni、TOC/TS、S2、HI、OI 的值和稀土的总和元素 (REE)。通过 HI 和 OI 数据获得的干酪根类型也包含在矩阵中,从以前的工作中获得的关于有机质起源和每个样品的沉积古环境类型的信息。观察到根据干酪根和有机质类型以及沉积古环境形成了三组表征 Irati、Ponta Grossa 和 Pimenteiras 地层的数据,表明探索性数据分析可以快速有效地获取信息每个地层的复杂样品之间的化学相似性。
更新日期:2020-11-01
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