Oil/oil correlation by aid of chemometrics

Øygard, Kjell; Grahl‐Nielsen, Otto; Ulvøen, S.

doi:10.1016/0146-6380(84)90078-0

Cited by 25 publications

(6 citation statements)

References 7 publications

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“…In geochemical studies, wide ranges of geochemical characteristics, such as biomarker ratios, are considered as inputs. This approach has already been extensively used (Øygard et al, 1984;Telnaes and Dahl, 1986;Raju and Mathur, 1995;Napitupulu et al, 2000;Eneogwe and Ekundayo, 2003;Gürgey, 2003;Zumberge et al, 2005;Justwan et al, 2006;He et al, 2012;Rabbani et al, 2014;Wang et al, 2014;Mashhadi and Rabbani, 2015;Alizadeh et al, 2017).…”

Section: Statistical Classification 321 Principal Component Analysismentioning

confidence: 99%

Introducing a Novel Approach for Oil‐Oil Correlation based on Asphaltene Structure: X‐ray Diffraction

Sadeghtabaghi

Rabbani

Hemmati‐Sarapardeh

2021

Acta Geologica Sinica (Eng)

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Oil-oil correlation is a widely-known concept in geochemical studies, defined as finding geochemical relevance between oil samples (Dembicki, 2016). There is a striking principle which indicates that every oil sample can preserve its chemical characteristic throughout the passage of time. This property, referred to as a fingerprint, can be used for distinguishing differences between one oil sample and others, or detecting similarities between oil samples of a genetic family (Christensen and Tomasi, 2007;Speight, 2014;Hashemi-Nasab and Parastar, 2019). One of the most significant applications of oil-oil correlation is determining the number of active source rocks in a given study area. This can be achieved by identifying existing genetically-distinct oil families in the basin (Dembicki, 2016). Oil-oil correlation also plays a vital role in basin modeling and reconstruction of the burial history of basin sediments (Soltani et al., 2019), as well as precise characterization of the petroleum system

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Section: Statistical Classification 321 Principal Component Analysismentioning

confidence: 99%

Introducing a Novel Approach for Oil‐Oil Correlation based on Asphaltene Structure: X‐ray Diffraction

Sadeghtabaghi

Rabbani

Hemmati‐Sarapardeh

2021

Acta Geologica Sinica (Eng)

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“…There has been extensive and critically reviewed research relating to the applications of chemometrics to food chemistry. − In biochemistry, the antibacterial potency of certain drugs can be quantitatively established . Accurate information on source-rocks of certain crude oils and splitting of complex heavy oils into different pseudocomponents tracking their evolution during thermal reactions make chemometrics an important technique in geochemistry and petroleum research. ,, Chemometrics has also been effective in eliminating the need for the use of hyphenated techniques like gas chromatography–mass spectrometry (GC-MS) by predicting reactor-output concentrations and product selectivity in processes involving conversion and oxidation of industrially important petrochemicals like propylene and tetralin, respectively.…”

Section: Chemometricsmentioning

confidence: 99%

A Perspective on the Impact of Process Systems Engineering on Reaction Engineering

Sivaramakrishnan

Puliyanda

Tefera

et al. 2019

Ind. Eng. Chem. Res.

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Process systems engineering (PSE), as the name suggests, emphasizes an approach to understanding the behavior of systems as a whole with a view to improving decision-making for optimization and control of processes. The discipline emphasizes the application of mathematical techniques in this effort, and a plausible claim has been made that is at the very core of the discipline of chemical engineering. Being a generalized approach to process systems in general, it finds wide application to many areas in chemical engineering. This work reviews the application of PSE to the area of reaction engineering, which is also at the core of chemical engineering. We highlight the impactful applications of PSE in reaction engineering and discuss aspects of model building and analysis, reactor control, optimization, chemometrics, and chemoinformatics.

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“…The results are listed in Table 1: tobacco Nos. [1][2][3][4] represent typical (full flavoured) Virginia, Nos. 5 and 6 less typical yet quite aromatic, while Nos.…”

Section: Tobacco Samplesmentioning

confidence: 99%

Pattern Recognition of Tobacco Headspace GC Profiles: A Potential New Analytical Tool for the Classification of Raw Tobaccos

Heinzer¹,

Maitre²,

M³

et al. 1988

Beiträge Zur Tabakforschung International/Contributions to Tobacco Research

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The first part of the paper describes a new method of obtaining reproducible and meaningful headspace profiles of tobacco lamina by using a modified closed loop stripping apparatus. The complex chromatograms are obtained by high-resolution glass capillary gas chromatography. The second part summarizes the results of a chemometric approach to interpret the chromatograms obtained from a series of nine Virginia flue-cured tobaccos from different origins and belonging to different quality groups, each one analysed three times by the method described above. After the elimination of peaks containing redundant information, the resulting data set, consisting of 27 × 17 data points, was analysed to detect natural groupings by using an in-house program (in Basic) for principal component analysis. A subsequent discriminant analysis yielded two discriminant functions capable of separating the nine Virginia tobaccos into three quality groups as defined by a conventional organoleptic analysis carried out by a smoking panel. All the tobaccos could be classified correctly (100 %). A first attempt to classify, by the procedure described above, a group of six Virginia tobaccos whose organoleptic scores were not known, did not yield clearly interpretable results, possibly because the performance of the capillary column used for analysis had slightly deteriorated during the experiment with resultant changes in retention characteristics, which led to wrong identifications of certain peaks.

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Oil/oil correlation by aid of chemometrics

Cited by 25 publications

References 7 publications

Introducing a Novel Approach for Oil‐Oil Correlation based on Asphaltene Structure: X‐ray Diffraction

Introducing a Novel Approach for Oil‐Oil Correlation based on Asphaltene Structure: X‐ray Diffraction

A Perspective on the Impact of Process Systems Engineering on Reaction Engineering

Pattern Recognition of Tobacco Headspace GC Profiles: A Potential New Analytical Tool for the Classification of Raw Tobaccos

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