Risk assessment framework for closed wellbore sealing integrity failure under corrosion environment in CO2 geological sequestration

IF 4.6 0 ENERGY & FUELS
Haoyan Peng , Zhao-Dong Xu , Hongfang Lu , Zhiheng Xia , Xin Wang
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Abstract

Ensuring the long-term sealing integrity of closed wellbores is of crucial significance during the process of CO2 geological sequestration. However, under the intense corrosive environment, the combined structure of cement plugs and casings may be damaged. This study presents a comprehensive risk assessment framework for sealing integrity failure through a variety of methodology: Initially, a numerical simulation-derived dataset was generated to characterize system behavior under multi-physics coupling conditions. Subsequently, a hybrid machine learning architecture integrating K-means clustering and Radial Basis Function Network (K-RBFN) was developed for remaining life prediction. The failure probability was then quantified via Monte Carlo simulations. Ultimately, risk assessment was achieved through consequence-of-failure weighted probability integration. The analysis results demonstrate that the average failure probability shows a continuous upward trend, and growth rate gradually accelerates, with the probability of failure increasing by 1 per cent after one century. The risk of failure is generally divided into three phases over the course of a century: (1) a latent risk period of 0–30 years (2) a slow growth period of 30–70 years (3) a rapid growth period after 70 years. Finally, through the established risk assessment framework, the failure probability and failure risk under three geological condition scenarios and five reservoir depths scenarios were analyzed. The failure risk assessment framework for the sealing integrity of closed wellbores under the corrosive environment of CO2 geological sequestration established in this paper can provide a basis for the safety of engineering practice and help prevent potential engineering disasters.
腐蚀环境下CO2地质封存封闭井筒密封完整性失效风险评估框架
在CO2地质封存过程中,保证封闭井眼的长期密封完整性具有至关重要的意义。但是,在强烈的腐蚀环境下,水泥塞和套管的组合结构可能会被破坏。本研究通过多种方法提出了密封完整性失效的综合风险评估框架:首先,生成了一个数值模拟衍生数据集,以表征多物理场耦合条件下的系统行为。随后,提出了一种结合k均值聚类和径向基函数网络(K-RBFN)的混合机器学习架构,用于剩余寿命预测。然后通过蒙特卡罗模拟对失效概率进行量化。最后通过失效后果加权概率积分进行风险评估。分析结果表明,平均失效概率呈连续上升趋势,增长速度逐渐加快,100年后失效概率增加1%。在一个世纪的过程中,失败的风险一般分为三个阶段:(1)0-30年的潜在风险期(2)30-70年的缓慢增长期(3)70年后的快速增长期。最后,通过建立的风险评估框架,分析了3种地质条件情景和5种储层深度情景下的失效概率和失效风险。本文建立的CO2地质封存腐蚀环境下封闭井筒密封完整性失效风险评估框架,可为工程安全实践提供依据,有助于预防潜在的工程灾害。
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