From Geoscience Australia
JSON format icon JSON RDF format icon RDF ISO19115-3 XML

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

Created 17/10/2025

Updated 17/10/2025

JSON format icon JSON RDF format icon RDF ISO19115-3 XML

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

Files and APIs

Tags

Additional Info

Field Value
Title Classification of Australian crude oils by artificial neural network and geochemical hydrocarbon characteristics
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/931886a6-68aa-46af-91f1-64488440cf05
Contact Point
Geoscience Australia Data
clientservices@ga.gov.au
Reference Period 13/09/2016
Geospatial Coverage
Map data © OpenStreetMap contributors
{
  "coordinates": [
    [
      [
        112.92,
        -54.75
      ],
      [
        159.11,
        -54.75
      ],
      [
        159.11,
        -9.2402
      ],
      [
        112.92,
        -9.2402
      ],
      [
        112.92,
        -54.75
      ]
    ]
  ],
  "type": "Polygon"
}
Data Portal Geoscience Australia

Data Source

This dataset was originally found on Geoscience Australia "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://ecat.ga.gov.au/geonetwork/srv/eng/csw/dataset/classification-of-australian-crude-oils-by-artificial-neural-network-and-geochemical-hydrocarbo