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首页> 外文期刊>Journal of Sustainable Mining >Impact of the capillary pressure-saturation pore-size distribution parameter on geological carbon sequestration estimates
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Impact of the capillary pressure-saturation pore-size distribution parameter on geological carbon sequestration estimates

机译:毛细管压力-饱和孔径分布参数对地质固碳估算的影响

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Cost estimates for geologic carbon sequestration (GCS) are vital for policy and decision makers evaluating carbon capture and storage strategies. Numerical models are often used in feasibility studies for the different stages of carbon injection and redistribution. Knowledge of the capillary pressure-saturation function for a selected storage rock unit is essential in applications used for simulating multiphase fluid flow and transport. However, the parameters describing these functions (e.g. the van Genuchtenmpore size distribution parameter) are often not measured or neglected compared to other physical properties such as porosity and intrinsic permeability. In addition, the use of average instead of point estimates ofmfor numerical simulations of flow and transport can result in significant errors, especially in the case of coarse-grained sediments and fractured rocks. Such erroneous predictions can pose great risks and challenges to decision-making. We present a comparison of numerical simulation results based on average and point estimates of the van Genuchtenmparameter for different porous media. Forward numerical simulations using the STOMP code were employed to illustrate the magnitudes of the differences in carbon sequestration predictions resulting from the use of height-averaged instead of point parameters. The model predictions were converted into cost estimates and the results indicate that varyingmvalues in GCS modeling can cause cost differences of up to hundreds of millions dollars.
机译:地质碳固存(GCS)的成本估算对于评估碳捕集与封存策略的政策和决策者至关重要。在可行性研究中,经常使用数值模型来研究碳注入和再分配的不同阶段。对于用于模拟多相流体流动和传输的应用,必须了解所选存储岩石单元的毛细管压力饱和功能,这一点至关重要。但是,与诸如孔隙度和固有渗透率之类的其他物理特性相比,描述这些功能的参数(例如van Genuchtenmpore尺寸分布参数)通常不会被测量或忽略。此外,在流动和输运的数值模拟中使用平均值而不是点估计会导致严重的误差,尤其是在粗粒沉积物和裂隙性岩石的情况下。这种错误的预测会给决策带来巨大的风险和挑战。我们提出了基于van Genuchtenm参数针对不同多孔介质的平均值和点估计值的数值模拟结果的比较。使用使用STOMP代码的正向数值模拟来说明由于使用高度平均而不是点参数而导致的碳固存预测差异的大小。模型预测已转换为成本估算,结果表明GCS建模中的变化值可能导致高达数亿美元的成本差异。

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