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CO2 plume migration and fate at Sleipner, Norway: Calibration of numerical models, uncertainty analysis, and reactive transport modelling of CO2 trapping to 10,000 years

机译:二氧化碳羽流迁移和命运在Sleipner,挪威:数值模型的校准,不确定分析和二氧化碳捕获到10,000年的反应性运输建模

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The Sleipner Project in Norway is the world's first industrial-scale geological carbon dioxide storage project. Time-lapse seismic monitoring data have been collected, tracing CO2 plume development from 1996 to 2010. Therefore, the Sleipner Project provides a somewhat unique opportunity to simulate the dynamics of CO2 in a real geological system. The purpose of this study is to simulate CO2 plume migration dynamics and assess the impact of uncertain factors on short and long term migration and fate of CO2 for the uppermost layer (Layer 9) of the Utsira Sand. First, we applied a multi-phase compositional simulator to the Sleipner Benchmark model for Layer 9 and calibrated our model against the time-lapsed seismic monitoring data at the site from 1999 to 2008. By adjusting lateral permeability anisotropy, CH4 in the CO2 stream, and reservoir temperature, approximate match with the observed plume was achieved. Model-predicted gas saturation, thickness of the CO2 accumulation, and CO2 solubility in brine (none of them used as calibration metrics) were all comparable with interpretations of the seismic data in the literature. Second, hundreds of simulations of parameter sensitivity (pressure, temperature, feeders, spill rates, relative permeability curves, and CH4 content) were conducted for the plume migration, based on the calibrated model. The results showed that simulated plume extents are sensitive to permeability anisotropy, temperature, and CH4 content, but not sensitive to the other parameters. However, adjusting a single parameter within the reported range of values in the literature would not reproduce the north-south trending CO2 plume;; it took a combination of permeability, CH4, and temperature adjustments to match simulated CO2 plume with seismic monitoring data. Although there is a range of uncertain parameters, the predicted fate of CO2 fell within a narrow band, ~ 93±2% structural trapping and ~ 7±2% solubility trapping. The calibrated model is not unique. Many combinations of permeability anisotropy, temperature, and CH4 would produce similar matches. Other possibilities that would have improved the development of an N-S elongated CO2 plume, such as a slight tilting of the surface of Utsira top to the south, were not experimented in this study, but are worthy of exploration for future studies. Finally, we used coupled reactive mass transport model to investigate the effects of rate laws and regional groundwater flow on long-term CO2 fate in Layer 9. The mineral composition and brine chemistry for the Utsira sand were adopted from the literature, and we modelled 100 year injection and continued water-rock interaction to 10,000 years. The results indicated that: (1) The predicted fraction of CO2 mineral trapping when using the linear rate law for feldspar dissolution is twice as much as when using the non-linear rate law. (2) Mineral trapping is more significant when regional groundwater flow is taken into consideration. Under the influence of regional groundwater flow, the replenishment of fresh brine from upstream continuously dissolves CO2 at the tail of CO2 plume, generating a larger acidified area where mineral trapping takes place. In a Sleipner like aquifer, the upstream replenishment of groundwater results in ~ 22% mineral trapping at year 10,000, compared to the ~ 4% when the effects of regional groundwater are ignored.
机译:挪威的Sleipner项目是世界上第一个工业规模地质二氧化碳存储项目。延时地震监测数据已收集,从1996年到2010年追踪CO2羽流量。因此,Sleipner项目提供了一些独特的机会,可以在真实地质系统中模拟CO2的动态。本研究的目的是模拟CO2羽流迁移动态,并评估不确定因素对UTSIRA沙子最上层(层9)的CO2的短期和长期迁移和命运的影响。首先,我们将多相组成模拟器应用于第9层的Sleipner基准模型,并在1999年至2008年将我们的模型校准了我们在现场的时滞地震监测数据。通过调整CO 2流中的侧渗透性各向异性,CH4和储层温度,实现了观察羽流的近似匹配。模型预测的气体饱和度,CO2积聚的厚度,以及盐水中的CO 2溶解度(其中一部分用作校准度量)都与文献中的地震数据的解释相当。其次,基于校准模型对羽流迁移进行了数百种参数灵敏度(压力,温度,馈电器,溢出率,相对渗透曲线和CH4含量)。结果表明,模拟羽流量对渗透性各向异性,温度和CH4含量敏感,但对其他参数不敏感。但是,在文献中报告的报告范围内调整单个参数不会再繁殖南北趋势二氧化碳羽毛;它采用了渗透率,CH4和温度调节的组合,以将模拟CO2羽流与地震监测数据相匹配。虽然存在一系列不确定的参数,但CO2的预测命运落在窄带内,〜93±2%结构捕获和〜7±2%的溶解度捕获。校准模型并不唯一。许多渗透性各向异性,温度和CH4的组合将产生类似的比赛。改善N-S细长二氧化碳羽流的其他可能性,例如UTSira顶部的轻微倾斜到南部的略微倾斜,在这项研究中没有尝试,但值得探索未来的研究。最后,我们使用耦合反应性大规模运输模型来研究速率法律和区域地下水流量在第9层中长期CO2命运的影响。从文献中采用矿物成分和盐水化学,我们建模100一年注射和持续的水石互动至10,000年。结果表明:(1)使用非线性速率法的线性速率法,当使用非线性速率法时的线性速率法预测分数。 (2)考虑区域地下水流动时,矿物捕获更为显着。在区域地下水流动的影响下,从上游的新鲜盐水的补充在二氧化碳羽流的尾部连续溶解CO 2,产生矿物捕获的较大的酸化区域。在像含水层这样的模具中,地下水的上游补充导致10,000年的矿物诱捕〜2%,而忽略了区域地下水的效果。

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