Review of the chemometrics application in oil-oil and oil-source rock correlations

Wang, Yaoping; Zou, Yan–Rong; Shi, Jinqiao; Shi, Jun

doi:10.1016/j.jnggs.2018.08.003

Cited by 27 publications

(22 citation statements)

References 55 publications

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“…Appendix 1 presents the details on the proxies and relevant data. These selected parameters are less affected by secondary factors, such as biodegradation, thermal maturity, and migration (Wang et al, 2018b), similar to the previous studies (Peters et al, 2013;Wang et al, 2016). Therefore, highly mature or heavily biodegraded oil samples should be excluded from the dataset (Peters et al, 2016).…”

Section: Methodsmentioning

confidence: 54%

“…In contrast to the results obtained by Zhou et al (2019), nine sourcerelated biomarker proxies were comprehensively analysed using the chemometric method in this study, including Pr/Ph, 4MSI, Ol/H, C 23 /H, Ga/H, C 27 Dia/C 27 S, ETR, C 19 /C 23 TT, and C 24 Tet/C 26 TT. More than three variables can be synthesised simultaneously in the chemometric method using the numerical matrix calculation, which highly improves the analysis results and interpretation of geochemical data (Peters et al, 2005;Wang et al, 2018b). As a result, the geochemical correlation results of crude oils and source rocks in the WZ12 oil field based on nine biomarker parameters become more accurate.…”

Section: Classification Of Source Rocks Using Chemometricsmentioning

confidence: 99%

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Oil chemometrics and geochemical correlation in the Weixinan Sag, Beibuwan Basin, South China Sea

Wang

Xue

Luo

et al. 2020

Energy Exploration & Exploitation

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The oil–oil and oil–source rock correlations, also termed as geochemical correlations, play an essential role in the construction of petroleum systems, guidance of petroleum exploration, and definition of reservoir compartments. In this study, the problems arising from oil–oil and oil–source rock correlations were investigated using chemometric methods on oil and source rock samples from the WZ12 oil field in the Weixinan sag in the Beibuwan Basin. Crude oil from the WZ12 oil field can be classified into two genetic families: group A and B, using multidimensional scaling and principal component analysis. Similarly, source rocks of the Liushagang Formation, including its first, second, and third members, can be classified into group I and II, corresponding to group B and A crude oils, respectively. The principle geochemical parameters in the geochemical correlation for the characterisation and classification of crude oils and source rocks were 4MSI, C27Dia/C27S, and C24 Tet/C26 TT. This study provides insights into the selection of appropriate geochemical parameters for oil–oil and oil–source rock correlations, which can also be applied to other sedimentary basins.

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Section: Methodsmentioning

confidence: 54%

Section: Classification Of Source Rocks Using Chemometricsmentioning

confidence: 99%

Oil chemometrics and geochemical correlation in the Weixinan Sag, Beibuwan Basin, South China Sea

Wang

Xue

Luo

et al. 2020

Energy Exploration & Exploitation

Self Cite

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“…MDS represents the measurements of the distance between points of a low-dimensional space to depict similarity among pairs of samples in high-dimensional space [31]. The objective of nonmetric MDS is to arrange the input data objects into a low-dimensional space so that the new distances reflect the rank order of the data [32].…”

Section: Nonmetric Multidimensional Scalingmentioning

confidence: 99%

Rare Earths as Authenticity Markers for the Discrimination of Greek and Turkish Pistachios Using Elemental Metabolomics and Chemometrics

Kalogiouri

Manousi

Klaoudatos

et al. 2021

Foods

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Pistachios are a nutritionally beneficial food source widely consumed all over the world. Pistachios exhibit high content of antioxidants, vitamins and other beneficial micronutrients, including nutrient elements and rare earth elements (REEs). Considering that the concentration of REEs depends on the climate and soil characteristics that vary among different geographical regions, REEs could constitute markers responsible for the geographical discrimination of this nut type. In this study, Greek pistachios with a protected designation of origin (PDO) label from Aegina Island and Fthiotida and Turkish pistachios from Adana were analyzed with inductively coupled plasma mass spectrometry (ICP-MS) to assess their REE profile. La, Ce, Pr, Nd, Sm, Eu, Gd, Tb, Dy, Ho, Er, Tm and Yb were determined and quantified. The quantification results were further analyzed using the main effect plot, permutational analysis of variance (PERMANOVA), nonmetric multidimensional scaling (nMDS), principal component analysis (PCA) and hierarchical clustering (HCA) to investigate the similarities between the pistachios. A decision tree (DT) was developed for the classification of pistachios according to their geographical origin proving to be a promising and reliable tool for verifying the authenticity of food products on the basis of their REE profile.

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“…Data mining and the development of chemometric models are widely used in food authenticity studies for the investigation of several issues such as the discrimination of botanical origin, geographical origin, farming type, etc. [ 31 , 32 , 33 ].…”

Section: Introductionmentioning

confidence: 99%

A Rapid HPLC-UV Protocol Coupled to Chemometric Analysis for the Determination of the Major Phenolic Constituents and Tocopherol Content in Almonds and the Discrimination of the Geographical Origin

et al. 2021

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Reversed phase-high-pressure liquid chromatographic methodologies equipped with UV detector (RP-HPLC-UV) were developed for the determination of phenolic compounds and tocopherols in almonds. Nineteen samples of Texas almonds originating from USA and Greece were analyzed and 7 phenolic acids, 7 flavonoids, and tocopherols (−α, −β + γ) were determined. The analytical methodologies were validated and presented excellent linearity (r2 > 0.99), high recoveries over the range between 83.1 (syringic acid) to 95.5% (ferulic acid) for within-day assay (n = 6), and between 90.2 (diosmin) to 103.4% (rosmarinic acid) for between-day assay (n = 3 × 3), for phenolic compounds, and between 95.1 and 100.4% for within-day assay (n = 6), and between 93.2–96.2% for between-day assay (n = 3 × 3) for tocopherols. The analytes were further quantified, and the results were analyzed by principal component analysis (PCA), and agglomerative hierarchical clustering (AHC) to investigate potential differences between the bioactive content of almonds and the geographical origin. A decision tree (DT) was developed for the prediction of the geographical origin of almonds proposing a characteristic marker with a concentration threshold, proving to be a promising and reliable tool for the guarantee of the authenticity of the almonds.

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Review of the chemometrics application in oil-oil and oil-source rock correlations

Cited by 27 publications

References 55 publications

Oil chemometrics and geochemical correlation in the Weixinan Sag, Beibuwan Basin, South China Sea

Oil chemometrics and geochemical correlation in the Weixinan Sag, Beibuwan Basin, South China Sea

Rare Earths as Authenticity Markers for the Discrimination of Greek and Turkish Pistachios Using Elemental Metabolomics and Chemometrics

A Rapid HPLC-UV Protocol Coupled to Chemometric Analysis for the Determination of the Major Phenolic Constituents and Tocopherol Content in Almonds and the Discrimination of the Geographical Origin

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