Quantifying aquifer contamination risk from casing rupture using support vector machine: a comprehensive assessment
文献类型：期刊论文
| 作者 | Liu, Yuyi2; Yang, Diansen1,2; Bian, Hanbing3 |
| 刊名 | STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT
 |
| 出版日期 | 2023-11-15 |
| 页码 | 14 |
| 关键词 | Casing rupture Aquifer contamination risk assessment Support vector machine Quasi-Monte Carlo simulations |
| ISSN号 | 1436-3240 |
| DOI | 10.1007/s00477-023-02606-x |
| 英文摘要 | Casing failure in hydraulic fracturing can lead to the leakage of fracturing fluid into the aquifer, resulting in groundwater contamination. To prevent such contamination, a universal assessment model applicable for most scenarios is necessary. However, the complexity of the stratum, parameter uncertainty, and computational challenges pose obstacles to risk assessment. In this study, we address these challenges by considering the uncertainty of hydrological parameters and the heterogeneity of the stratum in the development of a new conceptual model. Numerical simulations were conducted to concretize the conceptual model and derive data. Sensitivity analysis were performed to investigate the key factors influencing groundwater contamination, which are vertical hydraulic conductivity and porosity of the overburden layers, porosity of the high-permeability interlayers, and fracturing fluid leak location. Additionally, a Support Vector Machine (SVM) was selected to be developed as an alternative approach. Quasi-Monte Carlo simulations using Halton sequence were carried out to obtain probability distributions. In predicting the flux of contaminants in the aquifer and the time required for the fracturing fluid to reach the aquifer, our results demonstrated strong correlations in the SVM model, with correlation coefficients of 0.9984 and 0.9701, and low Root Mean Square Errors of 4.07 x 10-2 mg and 3.121 days. In a ten-year risk assessment, the probability of contaminant flux in the aquifer being less than 1.875 mg was 100%, indicating a low risk, and the average time for fracturing fluid to reach the aquifer was 1545 days. These findings provide valuable insights into the potential environmental impact of fracturing fluid contaminants and can inform the development of regulations and best practices for fracturing operations. |
| 资助项目 | The authors are pleased to acknowledge the support of this work by the National Natural Science Foundation of China through Grant Nos. U22A20595, 12202463.[U22A20595] ; The authors are pleased to acknowledge the support of this work by the National Natural Science Foundation of China through Grant Nos. U22A20595, 12202463.[12202463] ; National Natural Science Foundation of China |
| WOS研究方向 | Engineering ; Environmental Sciences & Ecology ; Mathematics ; Water Resources |
| 语种 | 英语 |
| WOS记录号 | WOS:001102079800001 |
| 出版者 | SPRINGER |
| 源URL | [http://119.78.100.198/handle/2S6PX9GI/39952]  |
| 专题 | 中科院武汉岩土力学所 |
| 通讯作者 | Yang, Diansen |
| 作者单位 | 1.Chinese Acad Sci, Inst Rock & Soil Mech, State Key Lab Geomech & Geotech Engn, Wuhan 430071, Hubei, Peoples R China 2.Wuhan Univ, Sch Civil Engn, Wuhan 430072, Hubei, Peoples R China 3.Univ Lille, Univ Artois,JUNIA,ULR 4515,LGCgE, Lab Genie Civil & Geo Environm, IMT Lille Douai, F-59000 Lille, France |
| 推荐引用方式 GB/T 7714 | Liu, Yuyi,Yang, Diansen,Bian, Hanbing. Quantifying aquifer contamination risk from casing rupture using support vector machine: a comprehensive assessment[J]. STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,2023:14. |
| APA | Liu, Yuyi,Yang, Diansen,&Bian, Hanbing.(2023).Quantifying aquifer contamination risk from casing rupture using support vector machine: a comprehensive assessment.STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT,14. |
| MLA | Liu, Yuyi,et al."Quantifying aquifer contamination risk from casing rupture using support vector machine: a comprehensive assessment".STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2023):14. |
入库方式： OAI收割
来源：武汉岩土力学研究所
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