File:Fig6 Bispo-Silva Geosciences23 13-11.png
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Summary
Description |
Figure 6. This sample was misclassified by the algorithm, as there was a mixture of biodegraded oil and non-biodegraded fluid in this well. (a) A gas chromatography (GC) sample previously classified for training as biodegraded was predicted to be non-biodegradable by the model, which is correct as the chromatography sample results in an oil with non-biodegradable characteristics. (b) Note that the terpane fragmentogram highlights the high peak of 25-norhopane, a diagnostic biomarker of severe biodegradation. |
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Source |
Bispo-Silva, Sizenando; Ferreira de Oliveira, Cleverson J.; de Alemar Barberes, Gabriel (2023). "Geochemical biodegraded oil classification using a machine learning approach". Geosciences 13 (11): 321. doi:10.3390/geosciences13110321. |
Date |
2023 |
Author |
Bispo-Silva, Sizenando; Ferreira de Oliveira, Cleverson J.; de Alemar Barberes, Gabriel |
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This work is licensed under the Creative Commons Attribution 4.0 License. |
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current | 23:38, 26 February 2024 | 2,780 × 4,408 (1.64 MB) | Shawndouglas (talk | contribs) |
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