CCUS-EOR的协同效应研究

IF 10.1 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY
Zhenhua Rui , Tingting Liu , Xin Wen , Siwei Meng , Yang Li , Birol Dindoruk
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引用次数: 0

摘要

碳捕集、利用与封存(CCUS)是全球碳减排的关键技术途径。CCUS提高采收率(EOR)技术是最可行的CCUS技术,具有提高能源产量和减少碳排放的双重效益。综合描述了影响co2提高采收率和地质储层的关键因素,系统分析了储层物性、流体特征和作业参数。在CCUS-EOR过程中,研究了这些参数对提高采收率和二氧化碳储存性能的影响机制。本文提出了一种耦合的两阶段CCUS-EOR工艺:CO2- eor储存阶段和CO2注入阶段完成后的长期CO2储存阶段。在每个阶段,对影响二氧化碳提高采收率和封存阶段的主要控制因素进行筛选,并结合严格的技术分析。这里的关键因素是储层性质、流体特性和操作参数。提出了一种新的CCUS-EOR协同方法,以优化提高采收率和存储双重目标的生命周期性能。在此基础上,基于多目标优化,考虑项目生命周期,提出了一种多尺度技术经济评价方法,以全面评价CCUS-EOR项目绩效。最后,讨论了通过部署多因素/多场耦合方法、新型绿色智能注入材料和人工智能/机器学习技术来推进CCUS-EOR技术的一系列建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the Synergistic Impact of CCUS-EOR
Carbon capture, utilization, and storage (CCUS) represents a critical technological pathway for global carbon emission reduction. CCUS-enhanced oil recovery (EOR) technology is the most feasible CCUS technology demonstrating dual benefits of enhanced energy production and carbon reduction. This study comprehensively described the key influencing factors governing CO2-EOR and geological storage and systematically analyzed reservoir properties, fluid characteristics, and operational parameters. The mechanisms of these parameters on EOR versus CO2 storage performance were investigated throughout CCUS-EOR processes. This paper proposes a coupled two-stage CCUS-EOR process: CO2-EOR storage stage and long-term CO2 storage stage after the CO2 injection phase is completed. In each stage, the main control factors impacting the CO2-EOR and storage stages are screened and coupled with rigorous technical analysis. The key factors here are reservoir properties, fluid characteristics, and operational parameter. A novel CCUS-EOR synergistic method was proposed to optimize the lifecycle performance of dual objective of EOR and storage. Furthermore, based on multi-objective optimization, considering the lifecycle, a multi-scale techno-economic evaluation method was proposed to fully assess the CCUS-EOR project performance. Finally, a set of recommendations for advancing CCUS-EOR technologies by deploying multi-factor/multi-field coupling methodologies, novel green intelligent injection materials, and artificial intelligence/machine learning technologies were visited.
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来源期刊
Engineering
Engineering Environmental Science-Environmental Engineering
自引率
1.60%
发文量
335
审稿时长
35 days
期刊介绍: Engineering, an international open-access journal initiated by the Chinese Academy of Engineering (CAE) in 2015, serves as a distinguished platform for disseminating cutting-edge advancements in engineering R&D, sharing major research outputs, and highlighting key achievements worldwide. The journal's objectives encompass reporting progress in engineering science, fostering discussions on hot topics, addressing areas of interest, challenges, and prospects in engineering development, while considering human and environmental well-being and ethics in engineering. It aims to inspire breakthroughs and innovations with profound economic and social significance, propelling them to advanced international standards and transforming them into a new productive force. Ultimately, this endeavor seeks to bring about positive changes globally, benefit humanity, and shape a new future.
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