From Geoscience Australia

Laboratory Methods for Evaluating Migrated High Molecular Weight Hydrocarbons in Marine Sediments at Naturally Occurring Oil Seeps

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Created 13/01/2025

Updated 13/01/2025

A laboratory study has been conducted to determine the best methods for the detection of C10 to C40 hydrocarbons at naturally occurring oil seeps in marine sediments. The results indicate that a commercially available method using hexane to extract sediments and gas chromatography to screen the resulting extract is effective at recognizing the presence of migrated hydrocarbons at concentrations between 50 to 5,000 ppm. When the oil charge is unbiodegraded the level of charge is effectively tracked by the sum of n-alkanes in the gas chromatogram. However, once the charge oil becomes biodegraded, with the loss of n-alkanes and isoprenoids, the level of charge is tracked by the quantification of the Unresolved Complex Mixture (UCM). The use of GC-MS was also found to be very effective for the recognition of petroleum related hydrocarbons and results indicate that GC-MS would be a very effective tool for screening samples at concentrations below 50 ppm oil charge.

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Field Value
Title Laboratory Methods for Evaluating Migrated High Molecular Weight Hydrocarbons in Marine Sediments at Naturally Occurring Oil Seeps
Language eng
Licence notspecified
Landing Page https://devweb.dga.links.com.au/data/dataset/230b9805-1058-4ef7-b0d5-d2d0f61f2f0a
Contact Point
Geoscience Australia
clientservices@ga.gov.au
Reference Period 22/04/2018
Geospatial Coverage http://www.ga.gov.au/place-names/PlaceDetails.jsp?submit1=GA1
Data Portal data.gov.au

Data Source

This dataset was originally found on data.gov.au "Laboratory Methods for Evaluating Migrated High Molecular Weight Hydrocarbons in Marine Sediments at Naturally Occurring Oil Seeps". Please visit the source to access the original metadata of the dataset:
https://devweb.dga.links.com.au/data/dataset/laboratory-methods-for-evaluating-migrated-high-molecular-weight-hydrocarbons-in-marine-sedimen

No duplicate datasets found.