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Evaluation of Numerical Modeling Methods for the Management of Produced Water Discharges in the Coastal Region with a Canadian Case Study

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Abstract

This study aims at evaluating two numerical methods for 3D simulation of marine pollutant dispersion problems: the random walk particle tracking (RWPT) method and an explicit second-order finite difference method (FDM) for assessing produced water discharges from offshore oil platform. Test cases in a steady flow field were used to evaluate the efficiency and accuracy of simulating pollutant concentration profiles obtained using both the FDM and RWPT method in comparison with an analytical solution. Additionally, a field study was conducted to simulate the lead concentration distribution of produced water discharged from an oil platform off Canada’s east coast, based on the Princeton Ocean Model modeling the ocean flow in the study area with field verifications. Results indicate that, with proper configuration of grid resolution and particle resolution, both FDM and RWPT method can provide accurate results with reasonable computational costs for complex field cases. Particularly, the satisfactory 3D simulations of marine pollutant dispersion in the far field by both FDM and RWPT numerical methods enable effective assessment and management of offshore waste discharges.

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Acknowledgments

This research was funded in part by the Natural Science and Engineering Research Council Canada (NSERC). The authors wish to thank the anonymous reviewers especially the reviewer 2 for their helpful comments.

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Authors and Affiliations

  1. Department of Building, Civil and Environmental Engineering, Concordia University, Montreal, QC, H3G 1M8, Canada

    Lin Zhao & Zhi Chen

  2. Bedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, NS, B2Y 4A2, Canada

    Kenneth Lee

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  1. Lin Zhao
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  2. Zhi Chen
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Correspondence to Zhi Chen.

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Zhao, L., Chen, Z. & Lee, K. Evaluation of Numerical Modeling Methods for the Management of Produced Water Discharges in the Coastal Region with a Canadian Case Study. Environ Model Assess 19, 57–70 (2014). https://doi.org/10.1007/s10666-013-9383-1

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  • DOI: https://doi.org/10.1007/s10666-013-9383-1

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