求助PDF
{"title":"考虑空间参数非均质性的CO2地质储层两相流动特性","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":"14 1","pages":"11-25"},"PeriodicalIF":2.7000,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"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\":\"14 1\",\"pages\":\"11-25\"},\"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}","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}
引用次数: 0
引用
批量引用