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• W2049874310 abstract "Abstract Numerical models may be used to predict concentrations of produced water and drilling discharges released to the marine environment. They may be applied to predict effects of existing or future discharges, compliance with regulations and also be used to calculate risks posed to the marine environment. These models are complex and generally have a high level of uncertainty associated with results. The uncertainty is due largely to the lack of data to parameterize the model, especially oceano-meteorological data. Efforts on two main fronts address this data gap. First, data are being collected to better parameterize and calibrate models, and second, studies are undertaken to better quantify and characterize the models themselves. This paper presents a bibliography of six offshore produced water and drilling discharges models and compiles information regarding the evaluation of each. The limitations which prevent more robust evaluations of models are discussed. Finally, additional evaluation activities are proposed to further the case that such models correspond with reality and are reliable. This study addresses offshore E&P discharge models only and is intended to serve as a guide for users of such models who need to defend the use and quality of their model. There are several models available capable of providing good predictions of the fate and dispersion of substances released during E&P activities. Each of the six models considered in this study possesses a good level of development and include features that make useful PW and DD simulation possible. Data collection obstacles remain which prevent rigorous validation of these models. In general, evaluation activities for these six models would benefit from renewed focus and study to increase the defensibility of modelled results. Investing in a sensitivity analysis and uncertainty analysis would yield greater confidence in results, and provide good value for R&D investment. While evaluations complementary to comparisons between field and modelled data may not conclusively show model validity, they contribute to the weight of evidence that the model predictions are satisfactory and can be used to make planning or operational decisions, and also support regulatory compliance requirements." @default.
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• W2049874310 date "2012-09-11" @default.
• W2049874310 modified "2023-09-23" @default.
• W2049874310 title "A Review of the Evaluations of Six Offshore Numerical Models for E&P Discharges" @default.
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• W2049874310 doi "https://doi.org/10.2118/156382-ms" @default.
• W2049874310 hasPublicationYear "2012" @default.
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