Leakage path prediction model and gas tightness assessment method for gas storage salt cavern wellbores
文献类型：期刊论文
| 作者 | He, Tao2,3; Wang, Tongtao2; Yang, Xiaoping4; Yang, Chunhe2; Liao, Youqiang2; Xie, Dongzhou5; Li, Jingcui6; Daemen, J. J. K.1 |
| 刊名 | COMPUTERS AND GEOTECHNICS
 |
| 出版日期 | 2024-07-01 |
| 卷号 | 171页码:16 |
| 关键词 | Gas storage salt caverns Wellbore failure Interfacial debonding Crack seepage Leakage assessment |
| ISSN号 | 0266-352X |
| DOI | 10.1016/j.compgeo.2024.106397 |
| 英文摘要 | Rock salt cavities are commonly utilized for underground gas energy storage on a big scale due to their characteristics of low permeability and low porosity. Salt cavern wellbore leaks typically originate from depths of several hundred meters or greater beneath the Earth's surface. The intricate geological characteristics of these areas pose challenges in accurately assessing the traceability of such leaks. In this study, a mathematical model was developed to forecast the seepage path of wellbore leakage in the presence of complex geological conditions. The proposed model encompasses the resolution of equations governing the flow dynamics of cement sheath fractures. It also establishes the ontological correlation between the net pressure within micro-annuli and their geometric characteristics. The verification of the stability and reliability of the seepage mathematical model was conducted by completing cement penetration experiments carried out under different confining pressure settings and damage pretreatment conditions. The mathematical model was further enhanced to provide visualization software capable of real-time calculations for gas flow within the pore space, the extent of cement sheath debonding, and the diffusion process of pore pressure. Finally, a wellbore leakage evaluation approach for gas storage salt caverns incorporating permeability channel and pore pressure gradient is presented. |
| 资助项目 | National Natural Science Foundation of China[42072307] ; Hubei Province Outstanding Youth Fund[2021CFA095] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDC10020300] |
| WOS研究方向 | Computer Science ; Engineering ; Geology |
| 语种 | 英语 |
| WOS记录号 | WOS:001239137400001 |
| 出版者 | ELSEVIER SCI LTD |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/41638]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Wang, Tongtao |
| 作者单位 | 1.Univ Nevada, Mackay Sch Earth Sci & Engn, Reno, NV 89557 USA 2.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Peoples R China 3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 4.Natl Petr & Nat Gas Pipeline Network Grp Co Ltd, Beijing 100020, Peoples R China 5.Wuhan Univ Technol, Sch Resources & Environm Engn, Wuhan 430070, Peoples R China 6.China Energy Digital Technol Grp Co Ltd, Beijing 100044, Peoples R China |
| 推荐引用方式 GB/T 7714 | He, Tao,Wang, Tongtao,Yang, Xiaoping,et al. Leakage path prediction model and gas tightness assessment method for gas storage salt cavern wellbores[J]. COMPUTERS AND GEOTECHNICS,2024,171:16. |
| APA | He, Tao.,Wang, Tongtao.,Yang, Xiaoping.,Yang, Chunhe.,Liao, Youqiang.,...&Daemen, J. J. K..(2024).Leakage path prediction model and gas tightness assessment method for gas storage salt cavern wellbores.COMPUTERS AND GEOTECHNICS,171,16. |
| MLA | He, Tao,et al."Leakage path prediction model and gas tightness assessment method for gas storage salt cavern wellbores".COMPUTERS AND GEOTECHNICS 171(2024):16. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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