Predicting Naphthenic Acid Migration Through the Foundation of Oil Sands Tailing Pond
2019
Ma, Liang | Huang, Cheng | Liu, Zhong-Sheng
In this paper, a conceptual model was developed to predict the seepage of oil sands process-affected water with capabilities of evaluating the transport and attenuation of naphthenic acids through the dykes and the foundations of oil sands tailings pond. The model incorporates naphthenic acid diffusion, adsorption, dispersion, advection, and biodegradation, and was modeled through the commercial software tools to predict naphthenic acid fate in both spatial and time scales. The tailing pond of the Muskeg River Mine in the Athabasca oil sands deposit was investigated in the case study. The comparison between the onsite monitoring data and the simulation results was in good agreement. In addition, limiting factors for migration of naphthenic acid were also discussed based on a parametric sensitivity study.
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