1. Forensic identification and quantification of oil sands-based bitumen released into a complex sediment environment
- Author
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Gregory S. Douglas, Jeffery Hardenstine, and Thomas P. Graan
- Subjects
0106 biological sciences ,Geologic Sediments ,Environmental remediation ,010501 environmental sciences ,Aquatic Science ,Oceanography ,01 natural sciences ,Water column ,Oil and Gas Fields ,Petroleum Pollution ,0105 earth and related environmental sciences ,chemistry.chemical_classification ,010604 marine biology & hydrobiology ,Dilbit ,Sediment ,Contamination ,Pollution ,Hydrocarbons ,Petroleum ,Hydrocarbon ,chemistry ,Asphalt ,Environmental chemistry ,Environmental science ,Oil sands ,Water Pollutants, Chemical - Abstract
On or about July 25, 2010, approximately 843,000 gal of condensate diluted bitumen (dilbit, a heavy oil) was released into the Kalamazoo River near Marshall, Michigan. As the discharged Line 6B oil migrated downstream the lighter diluent volatilized, formed visible oil droplets/flakes in the water column, became denser than water and/or became aggregated with sediment and migrated to the underlying bottom sediments. Accurate identification and determination of the amount of Line 6B oil present in the sediment was a primary requirement for remediation and allocation of liability. Based on a multi-tiered application of advanced hydrocarbon fingerprinting methodology, key chemical characteristics of the spilled oil were identified that allow for distinguishing heavy oil-related contamination from the complex river sediment background hydrocarbon contamination. It was determined that among the characteristics evaluated, concentration ratios of selected tri-aromatic steranes and triterpanes were most efficient parameters for identification and quantification of the spilled oil in the environment. This quantification approach was successfully applied and validated with field sample results and is consistent with the well-established environmental stability of these petroleum biomarkers and modern hydrocarbon fingerprinting methodology.
- Published
- 2020
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