Classical Biomarker and Quantitative Extended Diamondoid Analysis Fingerprints for Crude Oils from Deepwater Developments in Block 17, Lower Congo Basin, Angola
The organic geochemistry of six oil samples from the offshore Block 17 (Lower Congo Basin, northwestern Angola) was studied by a combination of classical biomarker and extended diamondoid analyses to elucidate source rock facies, the extent of biodegradation, and thermal maturity. Based on molecular...
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doaj-c9e0724db1104739adc25670b31a189c2020-11-25T03:58:23ZengMDPI AGInternational Journal of Environmental Research and Public Health1661-78271660-46012020-10-01177204720410.3390/ijerph17197204Classical Biomarker and Quantitative Extended Diamondoid Analysis Fingerprints for Crude Oils from Deepwater Developments in Block 17, Lower Congo Basin, AngolaCarlos Boente0Gonzalo Márquez1Patricia Marín2Emilio Romero3Cristina Rodrigues4Marco Antonio Guzmán5Department of Mining, Mechanical, Energetic and Civil Engineering, University of Huelva, 21819 Huelva, SpainDepartment of Mining, Mechanical, Energetic and Civil Engineering, University of Huelva, 21819 Huelva, SpainDepartment of Geochemistry, Petrology and Geological Exploration, University of Barcelona, 08028 Barcelona, SpainDepartment of Mining, Mechanical, Energetic and Civil Engineering, University of Huelva, 21819 Huelva, SpainEnergy, Environment and Health Research Unity, University Fernando Pessoa, 4249-004 Porto, PortugalDepartment of Mining, Mechanical, Energetic and Civil Engineering, University of Huelva, 21819 Huelva, SpainThe organic geochemistry of six oil samples from the offshore Block 17 (Lower Congo Basin, northwestern Angola) was studied by a combination of classical biomarker and extended diamondoid analyses to elucidate source rock facies, the extent of biodegradation, and thermal maturity. Based on molecular data, oils are interpreted as depicting a mixture of two pulses of hydrocarbon generation probably from the Bucomazi and Malembo formations. Geochemical results also gave evidence of mixing of a lacustrine siliciclastic-sourced oil charge and a second more terrestrially derived oil type in the samples analyzed. A single genetic oil family was identified through hierarchical cluster analysis; however, two groups of oils were identified on the basis of their biodegradation levels using the Peters/Moldowan scale. Lower and upper Malembo oils have a slight depletion and a notable absence of <i>n</i>-alkanes, suggesting PM levels of 1 and 2, respectively. Most molecular maturity parameters of the oil samples suggest a maturity level equivalent to the onset of the peak of the oil generative window.https://www.mdpi.com/1660-4601/17/19/7204Block 17mixed oilsQEDA analysisPM biodegradation scaleLower Congo Basin |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Carlos Boente Gonzalo Márquez Patricia Marín Emilio Romero Cristina Rodrigues Marco Antonio Guzmán |
spellingShingle |
Carlos Boente Gonzalo Márquez Patricia Marín Emilio Romero Cristina Rodrigues Marco Antonio Guzmán Classical Biomarker and Quantitative Extended Diamondoid Analysis Fingerprints for Crude Oils from Deepwater Developments in Block 17, Lower Congo Basin, Angola International Journal of Environmental Research and Public Health Block 17 mixed oils QEDA analysis PM biodegradation scale Lower Congo Basin |
author_facet |
Carlos Boente Gonzalo Márquez Patricia Marín Emilio Romero Cristina Rodrigues Marco Antonio Guzmán |
author_sort |
Carlos Boente |
title |
Classical Biomarker and Quantitative Extended Diamondoid Analysis Fingerprints for Crude Oils from Deepwater Developments in Block 17, Lower Congo Basin, Angola |
title_short |
Classical Biomarker and Quantitative Extended Diamondoid Analysis Fingerprints for Crude Oils from Deepwater Developments in Block 17, Lower Congo Basin, Angola |
title_full |
Classical Biomarker and Quantitative Extended Diamondoid Analysis Fingerprints for Crude Oils from Deepwater Developments in Block 17, Lower Congo Basin, Angola |
title_fullStr |
Classical Biomarker and Quantitative Extended Diamondoid Analysis Fingerprints for Crude Oils from Deepwater Developments in Block 17, Lower Congo Basin, Angola |
title_full_unstemmed |
Classical Biomarker and Quantitative Extended Diamondoid Analysis Fingerprints for Crude Oils from Deepwater Developments in Block 17, Lower Congo Basin, Angola |
title_sort |
classical biomarker and quantitative extended diamondoid analysis fingerprints for crude oils from deepwater developments in block 17, lower congo basin, angola |
publisher |
MDPI AG |
series |
International Journal of Environmental Research and Public Health |
issn |
1661-7827 1660-4601 |
publishDate |
2020-10-01 |
description |
The organic geochemistry of six oil samples from the offshore Block 17 (Lower Congo Basin, northwestern Angola) was studied by a combination of classical biomarker and extended diamondoid analyses to elucidate source rock facies, the extent of biodegradation, and thermal maturity. Based on molecular data, oils are interpreted as depicting a mixture of two pulses of hydrocarbon generation probably from the Bucomazi and Malembo formations. Geochemical results also gave evidence of mixing of a lacustrine siliciclastic-sourced oil charge and a second more terrestrially derived oil type in the samples analyzed. A single genetic oil family was identified through hierarchical cluster analysis; however, two groups of oils were identified on the basis of their biodegradation levels using the Peters/Moldowan scale. Lower and upper Malembo oils have a slight depletion and a notable absence of <i>n</i>-alkanes, suggesting PM levels of 1 and 2, respectively. Most molecular maturity parameters of the oil samples suggest a maturity level equivalent to the onset of the peak of the oil generative window. |
topic |
Block 17 mixed oils QEDA analysis PM biodegradation scale Lower Congo Basin |
url |
https://www.mdpi.com/1660-4601/17/19/7204 |
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