In a deep geological repository for radioactive waste in the Opalinus Clay, disposal canisters may be corroded due to sulphide produced by sulphate reducing bacteria (SRB). This paper presents two computational models, a reactive transport model (RTM) and a simplified semi-analytical model (SM), to evaluate the potential of SRB to generate elevated sulphide concentrations, to assess sulphide fluxes to the canister and, in a simplified manner, the resulting canister corrosion.

Calculations performed in the context of the repository's safety assessment based on a shared conceptual model reveal that the two computational models are complementary. The reactive transport model incorporates state-of-the-art understanding of the system's geochemistry, but is currently too computationally demanding to be applied in probabilistic safety assessment sensitivity analyses. The simplified model is fast and efficient, but some of its assumptions need to be verified, and some parameter values need to be calibrated using the more complete reactive transport model. Nonetheless, given the same set of assumptions, the two models predict comparable magnitudes of sulphide fluxes to the canister and comparable canister corrosion depths.

在Opalinus粘土中用于放射性废物的深层地质处置库中，处置罐可能由于硫酸盐还原细菌（SRB）产生的硫化物而被腐蚀。本文介绍了两种计算模型：反应性运输模型（RTM）和简化的半分析模型（SM），用于评估SRB产生高浓度硫化物的潜力，评估通向碳罐的硫化物通量，并以简化的方式进行评估。 ，导致罐腐蚀。

在基于共享概念模型的存储库安全性评估的上下文中执行的计算表明，这两个计算模型是互补的。反应性输运模型结合了对系统地球化学的最新了解，但目前对计算的要求太高，无法应用于概率安全评估敏感性分析中。简化的模型快速有效，但是需要验证其一些假设，并且需要使用更完整的反应性运输模型来校准一些参数值。但是，在相同的假设条件下，这两个模型可以预测到罐的硫化物通量的大小以及罐的腐蚀深度。