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On obtaining optimal well rates and placement for CO2 storage

机译:获得最佳的井速和二氧化碳封存的位置

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Large-scale storage of CO2 in saline aquifers is considered an essential technology to mitigate CO2 emissions. Storage potential has mainly been estimated based on volumetrics or detailed simulations for specific injection scenarios. In practice, achievable storage capacity will depend on engineering, economical, and political restrictions and be limited by the length of the injection period, costs associated with potential CO2 leakage, pressure management, etc. We show how achievable storage volumes can be estimated and maximized using adjoint-based optimization and a hierarchy of simulation methods. In particular, vertical equilibrium models provide the simplest possible description of the flow dynamics during the injection and early post-injection period, while percolation type methods provide effective means for forecasting the long-term fate of CO2 during the later migration stages. We investigate the storage volumes that can be achieved for several formations found along the Norwegian Continental Shelf by optimizing well placement and injection rates, and using production wells for pressure management when necessary. Optimal strategies are obtained under various objectives and simple but realistic constraints, namely: penalization of CO2 leakage, minimization of well cost, and restriction of pressure buildup.
机译:在盐水层中大量储存二氧化碳被认为是减轻二氧化碳排放的一项必不可少的技术。主要根据特定注入方案的体积或详细模拟来估算储存潜力。在实践中,可实现的存储容量将取决于工程,经济和政治限制,并受到注入时间的长短,与潜在的CO2泄漏相关的成本,压力管理等方面的限制。我们展示了如何估计和最大化可实现的存储量使用基于伴随的优化和模拟方法的层次结构。特别是,垂直平衡模型提供了在注入过程中和注入后早期的流动动力学的最简单描述,而渗流类型的方法则为预测后期迁移阶段的二氧化碳长期命运提供了有效的手段。我们通过优化油井布置和注入速率,并在必要时使用生产油井进行压力管理,研究了在挪威大陆架沿线发现的几种地层可实现的储量。在各种目标和简单但现实的约束条件下可以获得最佳策略,即:减少CO2泄漏,最小化油井成本和限制压力积累。

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