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Managing deepsea oil spills through a systematic modeling approach.

Authors :
Chen, Zhi
Yang, Zhaoyang
Lee, Kenneth
Lu, Youyu
Source :
Journal of Environmental Management. Jun2024, Vol. 360, pN.PAG-N.PAG. 1p.
Publication Year :
2024

Abstract

Offshore oil exploration and production in deepwater are associated with environmental risks to marine ecosystems. This research introduces DWOSM (Deep Water Oil Spill Model), a three-dimensional Lagrangian model, which is developed to simulate the transport and fate of oil spills resulting from subsea blowouts. DWOSM comprises three interconnected modules: DWOSM-DSD, which predicts the oil droplet size distribution from a blowout release; DWOSM-NearField, simulating plume dynamics and tracking oil droplets within the plume region; and DWOSM-FarField, modeling the evolution of dispersed oil beyond the near-field. Compared to other oil spill models, this integrated approach improves the transition between near and far fields using a near-field particle tracking algorithm. It also employs the thermodynamic models to enable the prediction of oil properties under varying deep water pressure and temperature. To gauge the reliability and efficacy of DWOSM, a hypothetical case situated within a North American context is employed for model testing. The DWOSM and its each module are juxtaposed with other established oil spill models. The outcomes indicate that DWOSM yields comparable results to these models by providing reasonable predictions of a deepwater blowout. The model's verification through case scenario testing and comparison underscores its potential as a decision tool for assessing and managing the potential environmental impacts of offshore petroleum activities. [Display omitted] • A new integrated deepwater oil spill model is developed in this study. • The model numerically captures the intricate dynamics of deep-sea oil blowouts. • Thermodynamic, physical, and chemical evolution of oil droplets are considered. • The coupling of near- and far-field models is tested through field scenarios. • New model excels other toolkits in systematically assessing Deepsea explorations. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03014797
Volume :
360
Database :
Academic Search Index
Journal :
Journal of Environmental Management
Publication Type :
Academic Journal
Accession number :
177566336
Full Text :
https://doi.org/10.1016/j.jenvman.2024.121118