Spaulding Malcolm, Li Zhengkai, Mendelsohn Daniel, Crowley Deborah, French-McCay Deborah, Bird Andrew
Ocean Engineering, University of Rhode Island, Narragansett, RI 02882, USA.
RPS ASA, South Kingstown, RI 02879, USA; PureLine Treatment Systems, Chicago, IL 60106, USA.
Mar Pollut Bull. 2017 Jul 15;120(1-2):37-50. doi: 10.1016/j.marpolbul.2017.04.043. Epub 2017 May 3.
OILMAP DEEP, an integrated system of models (pipeline release, blowout plume, dispersant treatment, oil droplet size distribution, and fountain and intrusion), was applied to the Deepwater Horizon (DWH) oil spill to predict the near field transport and fate of the oil and gas released into the northeastern Gulf of Mexico. The model included multiple, time dependent releases from both the kink and riser, with the observed subsurface dispersant treatment, that characterized the DWH spill and response. The blowout model predictions are in good agreement with the available observations for plume trapping height and the major characteristics of the intrusion layer. Predictions of the droplet size distribution are in good agreement with the limited in situ Holocam observations. Model predictions of the percentage of oil retained in the intrusion layer are consistent with independent estimates based on field observations.
OILMAP DEEP是一个模型集成系统(管道泄漏、井喷羽流、分散剂处理、油滴尺寸分布以及喷泉和侵入模型),被应用于深水地平线(DWH)漏油事件,以预测释放到墨西哥湾东北部的石油和天然气的近场输运及归宿。该模型包括来自弯折处和立管的多次随时间变化的泄漏,并结合了实际的水下分散剂处理情况,这些特征描述了DWH漏油事件及应对措施。井喷模型的预测结果与羽流捕获高度和侵入层主要特征的现有观测数据高度吻合。油滴尺寸分布的预测结果与有限的原位全视场相机观测数据相符。侵入层中保留的石油百分比的模型预测结果与基于现场观测的独立估计结果一致。