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Classification of Australian crude oils by artificial neural network and geochemical hydrocarbon characteristics

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Created 20/01/2025

Updated 20/01/2025

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In this study, an artificial neural network (ANN) and a data set of geochemical hydrocarbon characteristics consists of carbon isotopic signatures, biomarker and molecular data of oil samples, were used to develop a classification model. The ANN classification model was further generalised to accurately classify oils geographically that were not used to design the ANN model. Presented at the 19th Australian Organic Geochemistry Conference (AOGC) 2016

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Title Classification of Australian crude oils by artificial neural network and geochemical hydrocarbon characteristics
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/8d6e2620-54bb-42ef-91c5-89a1c11a6acd
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 12/09/2016
Geospatial Coverage {"type": "Polygon", "coordinates": [[[112.92, -54.75], [159.11, -54.75], [159.11, -9.2402], [112.92, -9.2402], [112.92, -54.75]]]}
Data Portal data.gov.au

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This dataset was originally found on data.gov.au "Classification of Australian crude oils by artificial neural network and geochemical hydrocarbon characteristics". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/classification-of-australian-crude-oils-by-artificial-neural-network-and-geochemical-hydrocarbo

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