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Analysis of the physicochemical detectability and impacts of offshore CO2 leakage through multi-scale modelling of in-situ experimental data using the PLUME model
International Journal of Greenhouse Gas Control ( IF 3.9 ) Pub Date : 2021-08-30 , DOI: 10.1016/j.ijggc.2021.103441
Marius Dewar 1, 2 , Umer Saleem 2 , Anita Flohr 3 , Allison Schaap 3 , James Strong 3 , Jianghui Li 4 , Ben Roche 3 , Jonathan M. Bull 3 , Baixin Chen 2 , Jerry Blackford 1
Affiliation  

Carbon storage is required to keep rising global temperatures below 2°C, meanwhile, storage reservoirs monitoring is required for assurance of early detection of potential leakages. Projects such as QICS and STEMM-CCS have used small in-situ experiments to develop detection techniques, tools, and strategies. Given the expense of experiments it is crucial to develop accurate simulation models that replicate observed behaviours and can be extrapolated to many different scenarios. However, anomalies occur between modelled and experimental data, and a key question has been how can the models be improved?

This has been approached through the development of a complex modelling system to include the effects of coastal hydrodynamics on very localised experiments, with a new multi-phase leakage model – PLUME, integrated into a high-resolution hydrodynamic model, and linked to a carbonate system for CO2 analysis. The resolution of the nested domains range from 2.5 km at the boundaries to approximately 0.5 - 1.0 m at the release sites.

The efficacy of the PLUME model is demonstrated with application to the STEMM-CCS and QICS experimental sites in 120 and 9-12 m water depths respectively. Results show that the newly developed model can predict observed pCO2 and pH changes within acceptable errors. Local effects are shown to be affected greatly by both the resolution and the water currents, with momentary spikes in pCO2 and reductions in pH caused by tidal oscillation. The spatial impacts of the releases are shown to move with the tide, covering a far greater area over a tidal cycle.



中文翻译:

通过使用 PLUME 模型对原位实验数据进行多尺度建模,分析海上 CO2 泄漏的物理化学可检测性和影响

碳储存需要将不断上升的全球温度保持在 2°C 以下,同时需要对储存库进行监测,以确保及早发现潜在的泄漏。QICS 和 STEMM-CCS 等项目使用小型原位实验来开发检测技术、工具和策略。考虑到实验费用,开发准确的模拟模型来复制观察到的行为并且可以外推到许多不同的场景是至关重要的。然而,建模数据和实验数据之间会出现异常,关键问题是如何改进模型?

这是通过开发一个复杂的建模系统来实现的,该系统包括沿海流体动力学对非常局部实验的影响,新的多相泄漏模型 - PLUME,集成到高分辨率流体动力学模型中,并与碳酸盐系统相关联用于 CO 2分析。嵌套域的分辨率范围从边界处的 2.5 公里到释放点处的大约 0.5 - 1.0 米。

PLUME 模型的功效通过分别应用于 STEMM-CCS 和 QICS 实验站点在 120 和 9-12 m 水深得到证明。结果表明,新开发的模型可以在可接受的误差范围内预测观察到的 pCO 2和 pH 值变化。局部效应受分辨率和水流的影响很大,pCO 2 的瞬时峰值和潮汐振荡引起的 pH 值降低。释放的空间影响显示为随潮汐移动,在潮汐周期中覆盖更大的区域。

更新日期:2021-08-30
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