Chapter 31 - Modeling Distribution, Fate, and Concentrations of Deepwater Horizon Oil in Subsurface Waters of the Gulf of Mexico

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Abstract

Oil spill modeling of the 2010 Deepwater Horizon discharge was performed to evaluate the fate of the oil in subsurface waters of the Gulf of Mexico. The oil fate model Spill Impact Model Application Package (SIMAP) was used to estimate rise rate of oil droplets, dissolution of oil constituents, movements of oil droplets and dissolved components, and degradation of hydrocarbon components in the deep-sea. As sampling during April–July 2010 was primarily performed within 20 km of the spill site, model predictions were compared to field data from within a 25-by-25-km box centered on the wellhead. Concentrations of soluble and semisoluble hydrocarbon components predicted by the model agreed well with chemical measurements when compared as frequency distributions within varying depth zones of the water column. The results showed that the soluble hydrocarbons primarily dissolved near the release depth, while semisoluble compounds were partially dissolved at depth and as droplets rose.

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    Concentrations of S&SS compounds (Table A-3 in Appendix A; from Stout, 2015a, Stout et al., 2016a) were very similar to those measured by Reddy et al. (2012) using a pressure-tight sample taken just above the wellhead on 21 June 2010. Each of the modeled pseudo-components were assigned physical-chemical properties and empirically based biodegradation rates using mass-weighted means for the individual compounds (French-McCay et al., 2015, 2018a, 2018c; summarized in French-McCay et al. (2021b) and Table A-4, Appendix A). The bulk properties of the oil released to the farfield were based on measurements of oil collected on 21 May 2010 from the riser insertion tube that was receiving oil and gas directly from the well's broken riser near the sea floor (Stout, 2015b).

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    The direction and speed of transport in the offshore environment did not greatly affect the fate processes and so did not significantly affect the mass balance. Thus, comparison of the model and observed trajectories are not reviewed here, but are provided in French-McCay et al. (2015a, 2018a, 2018c, 2021a). Based on these model simulations, one set of forcing data, that which led to the best fit with the observations overall (described in Section 2.6), was used for the model simulations examined herein.

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