Optimizing Reservoir Pressure Management with Relief Wells During CO2 Storage in Finite Aquifers

Hassan A. Al Zayer, M. S. Saeed
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Abstract

Storing CO2 in deep saline aquifers is a viable technology to manage carbon emissions. However, in finite aquifers, reservoir pressure builds up quickly which can reduce injectivity and limit the ultimate storable quantities of CO2. Therefore, the purpose of this work is to investigate the optimum design for reservoir pressure-management wells during carbon dioxide (CO2) storage in finite aquifers using a numerical simulation method. In this paper, a synthetic aquifer model was used to investigate the optimal well placement and geometry, and well spacing to maximize CO2 storable quantities with a less total number of wells. Furthermore, the main target is to maximize the pore volume utilization and target injection rate per well without exceeding the reservoir fracture limit. A fit-for-purpose 3D reservoir simulation model used in this study was built to allow robust and accurate large-scale numerical simulation studies related to CO2 sequestration and storage using synthetic data. Multiple CO2 gas injectors were placed at the crest of the structure to utilize most of the available pore volume and maximize the injection rate. Various pressure management schemes were modeled and compared to find out the optimal design which can provide maximum injection rate and ultimate storage capacity. The results showed that well placement depth and the number of active relief wells both are playing a major role in maximizing the ultimate storage efficiency. Since reservoir heterogeneity and anisotropy can significantly affect the relief wells’ design, streamlines tracing can be very helpful to optimize the well spacing and orientation. After 80 years of injection, the simulation sensitivity study showed a significant difference (10-20% of CO2 storage efficiency) between the different pressure management schemes. In conclusion, relief wells are often needed to manage reservoir pressure build-up during CO2 storage in finite aquifers and their design is vital in maximizing the ultimate CO2 storage capacity. The outcome of this study is providing a useful guideline to optimize the field development plans and maximize the CO2 storage capacity in finite aquifers.
利用减压井优化有限含水层CO2封存过程中的油藏压力管理
将二氧化碳储存在深盐水含水层中是一种可行的碳排放管理技术。然而,在有限的含水层中,储层压力迅速增加,这可能会降低注入能力,并限制二氧化碳的最终可储存量。因此,本研究的目的是利用数值模拟方法研究有限含水层二氧化碳储存过程中储层压力管理井的优化设计。本文采用了一个综合含水层模型来研究最佳的井位、几何形状和井距,以减少井总数,最大限度地提高CO2的可储存量。此外,主要目标是在不超过储层裂缝极限的情况下,最大限度地提高孔隙体积利用率和每口井的目标注入速率。建立了适合本研究使用的三维油藏模拟模型,可以使用合成数据进行与二氧化碳封存和储存相关的强大而准确的大规模数值模拟研究。在结构的顶部放置了多个CO2气体注入器,以利用大部分可用孔隙体积并最大化注入速率。通过对各种压力管理方案进行建模和比较,找出能够提供最大注入速率和最大储水量的最优设计方案。结果表明,井位深度和活动减压井数量对最终储油效率的最大化起着重要作用。由于储层非均质性和各向异性对减压井的设计有显著影响,因此流线示踪对优化井距和井向有很大帮助。经过80年的注入,模拟敏感性研究表明不同压力管理方案之间存在显著差异(10-20%的CO2储存效率)。综上所述,在有限的含水层中,减压井通常需要控制储层压力积聚,减压井的设计对于最大限度地提高二氧化碳的最终储存能力至关重要。该研究结果为优化油田开发计划和最大化有限含水层的二氧化碳储存能力提供了有益的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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