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Circum-Arctic petroleum systems identified using decision-tree chemometrics

Kenneth E. Peters, L. Scott Ramos, John E. Zumberge, Zenon C. Valin, Christopher R. Scotese and Donald L. Gautier
Circum-Arctic petroleum systems identified using decision-tree chemometrics
AAPG Bulletin (June 2007) 91 (6): 877-913

Abstract

Source- and age-related biomarker and isotopic data were measured for more than 1000 crude oil samples from wells and seeps collected above approximately 55 degrees N latitude. A unique, multitiered chemometric (multivariate statistical) decision tree was created that allowed automated classification of 31 genetically distinct circum-Arctic oil families based on a training set of 622 oil samples. The method, which we call decision-tree chemometrics, uses principal components analysis and multiple tiers of K-nearest neighbor and SIMCA (soft independent modeling of class analogy) models to classify and assign confidence limits for newly acquired oil samples and source rock extracts. Geochemical data for each oil sample were also used to infer the age, lithology, organic matter input, depositional environment, and identity of its source rock. These results demonstrate the value of large petroleum databases where all samples were analyzed using the same procedures and instrumentation.


ISSN: 0149-1423
EISSN: 1558-9153
Coden: AABUD2
Serial Title: AAPG Bulletin
Serial Volume: 91
Serial Issue: 6
Title: Circum-Arctic petroleum systems identified using decision-tree chemometrics
Affiliation: U. S. Geological Survey, Menlo Park, CA, United States
Pages: 877-913
Published: 200706
Text Language: English
Publisher: American Association of Petroleum Geologists, Tulsa, OK, United States
References: 108
Accession Number: 2007-065506
Categories: Economic geology, geology of energy sources
Document Type: Serial
Bibliographic Level: Analytic
Annotation: Includes appendix
Illustration Description: illus. incl. 10 tables, sketch maps
Secondary Affiliation: Infometrix, USA, United StatesGeoMark Research, USA, United StatesUniversity of Texas at Arlington, USA, United States
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by American Association of Petroleum Geologists, Tulsa, OK, United States
Update Code: 200733
Program Name: USGSOPNon-USGS publications with USGS authors
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