Chemometrics-enhanced Classification of Source Rock Samples Using their Bulk Geochemical Data: Southern Persian Gulf Basin

Chemometrics-enhanced Classification of Source Rock Samples Using their Bulk Geochemical Data: Southern Persian Gulf Basin, co-authored by Infometrix’ Scott Ramos has recently been published. See abstract below and contact us if you have any questions.

Abstract

Chemometric methods can enhance geochemical interpretations, especially when working with large datasets. With this aim, exploratory hierarchical cluster analysis (HCA) and principal component analysis (PCA) methods are used herein to study the bulk pyrolysis parameters of 534 samples from the Persian Gulf basin. These methods are powerful techniques for identifying the patterns of variations in multivariate datasets and reducing their dimensionality. By adopting a “divide-and-conquer” approach, the existing dataset could be separated into sample groupings at family and subfamily levels. The geochemical characteristics of each category were defined based on loadings and scores plots. This procedure greatly assisted the identification of key source rock levels in the stratigraphic column of the study area and highlighted the future research needs for source rock analysis in the Persian Gulf basin.

Keywords: Chemometric Classification, Source Rock Geochemistry, Rock-Eval Pyrolysis Data, HCA, PCA.

63rd ISA Analysis Division Symposium

Prioritizing Multivariate Control
Brian Rohrback – Infometrix, Inc.

 

Keywords: Process Analysis, Process Control, Chromatography, Spectroscopy, Chemometrics, Calibration, Principal Component Analysis (PCA), Partial Least Squares (PLS)

Paper to be presented at the ISA-AD Meeting, Galveston, TX, April 22-26, 2018

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Chemometric recognition of genetically distinct oil families in the Los Angeles basin, California

Read the latest article “Chemometric recognition of genetically distinct oil families in the Los Angeles basin, California” published in AAPG Bulletin, v. 100, no. 1 (January 2016), pp. 115–135, under authors K. E. Peters, T. L.Wright, L. S. Ramos, J. E. Zumberge, and L. B. Magoon. The article discusses the chemometric analysis and identification of six genetically distinct Miocene tribes (12 families) in the Los Angeles basin. The resulting families were used as a training set to construct a chemometric decision tree used for classification on any additional samples of crude oil or source-rock extract that become available.