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{"title":"Two-phase flow behavior in CO2 geological storage considering spatial parameter heterogeneity","authors":"Yiyan Zhong, Qi Li, Liang Xu, Yiping Wen, Yunlu Hou, Wenbin Gao","doi":"10.1002/ghg.2248","DOIUrl":null,"url":null,"abstract":"<p>Saline aquifer rocks exhibit significant spatial randomness due to geological sedimentation processes. To address the issue of the heterogeneity of rock formations in numerical simulations, it is common practice to homogenize rock layers with similar lithologies. However, the acceptability of the errors generated during homogenized computations is a major concern and should be investigated. Therefore, to study the influence of heterogeneity at the storage site on the CO<sub>2</sub> migration behavior, the Monte Carlo simulation–random finite element method (MCS-RFEM) was combined with a CO<sub>2</sub> two-phase flow model to compare the effects of the coefficient of variation (<i>C<sub>v</sub></i>) and correlation length (<i>λ<sub>x</sub></i>) of random reservoir permeability fields on the migration distance and extent of CO<sub>2</sub> storage under the same mean conditions. The results showed that higher <i>C<sub>v</sub></i> and <i>λ<sub>x</sub></i> values significantly reduced the CO<sub>2</sub> migration distance while increasing the spread extent. Compared to the homogeneous model, at a <i>λ<sub>x</sub></i> value of 100 m, the CO<sub>2</sub> migration distance decreased by 5.05%, while the profile sweep area increased by 6.20%. Concurrently, with increasing <i>C<sub>v</sub></i>, the area with a CO<sub>2</sub> volume fraction higher than 0.75 decreased by 20.22%, while an increase in <i>λ<sub>x</sub></i> resulted in a 42.35% increase in the area with a CO<sub>2</sub> volume fraction higher than 0.75. Therefore, reservoirs with high <i>C<sub>v</sub></i> and low <i>λ<sub>x</sub></i> values are more suitable for safely storing CO<sub>2</sub>. © 2023 Society of Chemical Industry and John Wiley & Sons, Ltd.</p>","PeriodicalId":12796,"journal":{"name":"Greenhouse Gases: Science and Technology","volume":null,"pages":null},"PeriodicalIF":2.7000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Greenhouse Gases: Science and Technology","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ghg.2248","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENERGY & FUELS","Score":null,"Total":0}
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Abstract
Saline aquifer rocks exhibit significant spatial randomness due to geological sedimentation processes. To address the issue of the heterogeneity of rock formations in numerical simulations, it is common practice to homogenize rock layers with similar lithologies. However, the acceptability of the errors generated during homogenized computations is a major concern and should be investigated. Therefore, to study the influence of heterogeneity at the storage site on the CO2 migration behavior, the Monte Carlo simulation–random finite element method (MCS-RFEM) was combined with a CO2 two-phase flow model to compare the effects of the coefficient of variation (Cv ) and correlation length (λx ) of random reservoir permeability fields on the migration distance and extent of CO2 storage under the same mean conditions. The results showed that higher Cv and λx values significantly reduced the CO2 migration distance while increasing the spread extent. Compared to the homogeneous model, at a λx value of 100 m, the CO2 migration distance decreased by 5.05%, while the profile sweep area increased by 6.20%. Concurrently, with increasing Cv , the area with a CO2 volume fraction higher than 0.75 decreased by 20.22%, while an increase in λx resulted in a 42.35% increase in the area with a CO2 volume fraction higher than 0.75. Therefore, reservoirs with high Cv and low λx values are more suitable for safely storing CO2 . © 2023 Society of Chemical Industry and John Wiley & Sons, Ltd.
考虑空间参数非均质性的CO2地质储层两相流动特性
由于地质沉积过程,含盐含水层表现出明显的空间随机性。为了解决数值模拟中岩层的非均质性问题,通常的做法是对具有相似岩性的岩层进行均质化。然而,在均匀化计算过程中产生的误差的可接受性是一个主要问题,应该进行研究。因此,为了研究储层非均质性对CO2迁移行为的影响,将蒙特卡罗模拟-随机有限元法(MCS-RFEM)与CO2两相流模型相结合,比较在相同平均条件下随机储层渗透率场的变异系数(Cv)和相关长度(λx)对CO2迁移距离和封存程度的影响。结果表明,较高的Cv和λx值显著减小了CO2的迁移距离,增加了CO2的扩散范围。与均匀模型相比,λx值为100 m时,CO2迁移距离减小了5.05%,剖面扫描面积增大了6.20%。同时,随着Cv的增大,CO2体积分数大于0.75的面积减少了20.22%,而λx的增大导致CO2体积分数大于0.75的面积增加了42.35%。因此,高Cv值和低λx值的储层更适合安全储存CO2。©2023化学工业协会和John Wiley &儿子,有限公司
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