CO2 plume monitoring and injection optimization based on pathlines, source clouds and time clouds: Field application at the Illinois Basin-Decatur carbon sequestration project

IF 4.6 3区 工程技术 Q2 ENERGY & FUELS
Ao Li, Hongquan Chen, Akhil Datta-Gupta
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引用次数: 0

Abstract

The performance of CO2 injection in geological carbon storage projects can be significantly influenced by the effects of gravity and subsurface heterogeneity, making effective monitoring and optimization essential. While streamlines are widely used to visualize fluid flow, they rely on instantaneous velocity fields and cannot account for dynamic conditions. To overcome this, we propose novel tools—pathlines, source clouds (streaklines), and time clouds (timelines)—to track CO2 movement across varying flow fields, particularly during the post-injection stage when gravity effects dominate. These tools serve as a foundation for optimizing injection strategies to enhance storage efficiency.
Pathlines trace the trajectories of CO2 particles over time, capturing dynamic flow field changes. Streaklines and timelines extend this by visualizing all particles emitted from a point or at a specific time, represented as source and time clouds in 3D. These tools enable precise visualization of CO2 movement in the reservoir, critical for optimizing storage efficiency. Our optimization framework identifies optimal injection rates by equalizing arrival times, maximizing storage efficiency under operational constraints. Using analytical sensitivities, a sequential quadratic programming (SQP) algorithm minimizes arrival time variance from the perforation zones, providing a comprehensive and effective strategy for CO2 injection optimization.
Applied to the Illinois Basin-Decatur Project (IBDP), our methods demonstrate improved plume visualization and optimization. Pathlines accurately represent plume distribution, while source and time clouds capture movement from perforations and front propagation. Optimizing injection rates across three perforation zones increased storage efficiency by 10.4 %, showcasing the effectiveness of this approach in advancing geological carbon storage projects.
基于路径、源云和时间云的CO2羽流监测和注入优化:在Illinois Basin-Decatur固碳项目中的现场应用
地质储碳项目的注二氧化碳性能受到重力和地下非均质性的显著影响,必须进行有效的监测和优化。虽然流线被广泛用于可视化流体流动,但它们依赖于瞬时速度场,不能解释动态条件。为了克服这个问题,我们提出了新的工具——路径线、源云(条纹线)和时间云(时间线)——来跟踪不同流场中的二氧化碳运动,特别是在重力效应占主导地位的注入后阶段。这些工具是优化注入策略以提高储存效率的基础。路径追踪二氧化碳颗粒随时间的轨迹,捕捉动态流场的变化。条纹线和时间线通过可视化从一个点或在特定时间发射的所有粒子来扩展这一点,在3D中表示为源和时间云。这些工具可以精确地可视化储层中的二氧化碳运动,这对于优化储存效率至关重要。我们的优化框架通过平衡到达时间来确定最佳注入速率,在操作限制下最大化存储效率。利用分析灵敏度,序列二次规划(SQP)算法最大限度地减少射孔层的到达时间差异,为CO2注入优化提供了全面有效的策略。应用于伊利诺斯盆地-迪凯特项目(IBDP),我们的方法证明了羽流可视化和优化的改进。路径线准确地表示羽流分布,而源云和时间云则捕捉来自穿孔和锋面传播的运动。通过优化三个射孔层的注入速率,储碳效率提高了10.4%,证明了该方法在推进地质储碳项目中的有效性。
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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来源期刊
CiteScore
9.20
自引率
10.30%
发文量
199
审稿时长
4.8 months
期刊介绍: The International Journal of Greenhouse Gas Control is a peer reviewed journal focusing on scientific and engineering developments in greenhouse gas control through capture and storage at large stationary emitters in the power sector and in other major resource, manufacturing and production industries. The Journal covers all greenhouse gas emissions within the power and industrial sectors, and comprises both technical and non-technical related literature in one volume. Original research, review and comments papers are included.
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