CO2 injection and storage - Short and long-term behaviour at different spatial scales

二氧化碳注入和封存 - 不同空间尺度的短期和长期行为

• 批准号: EP/K035967/1
• 负责人: Sevket Durucan
• 金额: $ 154.46万
• 依托单位: Imperial College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2013
• 资助国家: 英国
• 起止时间: 2013 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FK035967%2F1
• 关键词: CO2; injection; storage; Short; long

Projections of energy usage generally agree that the world will be heavily reliant on fossil fuels well into the second half of the 21st Century. Until our energy demands can be met by alternative sources, geological storage of CO2 in depleted petroleum reservoirs and deep saline aquifers is widely acknowledged to offer one of the most promising and practical means to reduce CO2 emissions from fossil fuel burning power stations in the developed world and more importantly in rapidly developing nations such as China and India. Estimated reductions in CO2 emission from carbon capture and storage from fossil fuel generating stations can be as high as 90%.The UK Government has an ambitious target to reduce CO2 emissions by 80% by 2050, and Carbon Capture and Storage (CCS) is expected to play a major role to meet this target. Although CO2 has been injected into petroleum reservoirs for over 50 years to improve oil recovery, there are still many uncertainties that must be addressed before governments will commit to the level of CCS that is needed to have a significant impact on CO2 emissions. A large amount of research has been initiated in many countries to address these uncertainties. In addition, several CO2 storage pilot studies have been completed or are in progress both on- and off-shore as well as within depleted petroleum reservoirs and saline aquifers. This project addresses the gaps in our current knowledge in this field through an integrated laboratory and numerical modelling approach. The main objectives of the project can be summarised as:- - to develop methodologies to optimise CO2 injection well placement and control strategies accounting for uncertainties and influence on neighbouring licenses. - to establish the effects of in situ pressure and temperature conditions on caprock fracture closure and fault reactivation through laboratory and numerical investigations. - to investigate and improve our understanding of the in situ wellbore cement/rock and cement caprock behaviour in order to assess well integrity. - to develop novel wellbore and caprock leakage mitigation and remediation technologies utilising sealants and induced mineral precipitation processes.

能源使用预测普遍认为，到 21 世纪下半叶，世界将严重依赖化石燃料。在我们的能源需求能够通过替代来源满足之前，在枯竭的石油储层和深层咸水层中进行二氧化碳地质封存被广泛认为是减少发达国家（尤其是中国和印度等快速发展中国家）化石燃料发电站二氧化碳排放的最有前途和最实用的方法之一。化石燃料发电站的碳捕获和封存预计可减少高达 90% 的二氧化碳排放。英国政府有一个雄心勃勃的目标，即到 2050 年将二氧化碳排放量减少 80%，而碳捕获和封存 (CCS) 预计将在实现这一目标方面发挥重要作用。尽管将二氧化碳注入石油储层以提高石油采收率已有 50 多年的历史，但在政府承诺达到对二氧化碳排放产生重大影响所需的 CCS 水平之前，仍然必须解决许多不确定性。许多国家已经开展了大量研究来解决这些不确定性。此外，一些二氧化碳封存试点研究已经完成或正在进行，无论是在陆上还是海上，以及在枯竭的石油储层和咸水含水层内。该项目通过综合实验室和数值建模方法弥补了我们当前在该领域的知识空白。该项目的主要目标可概括为： - 开发优化二氧化碳注入井布局的方法和控制策略，考虑不确定性和对邻近许可证的影响。 - 通过实验室和数值研究确定现场压力和温度条件对盖层裂缝闭合和断层再活动的影响。 - 调查并提高我们对原位井筒水泥/岩石和水泥盖层行为的理解，以评估油井的完整性。 - 利用密封剂和诱导矿物沉淀过程开发新颖的井筒和盖层泄漏缓解和修复技术。

项目成果

A Statistical Learning Approach to Model the Uncertainties in Reservoir Quality for the Assessment of CO2 Storage Performance in the Lower Permian Rotliegend Group in the Mid North Sea High Area

一种统计学习方法，用于模拟储层质量的不确定性，以评估北海中高地区下二叠统 Rotliegend 群的 CO2 封存性能

• DOI: 10.1016/j.egypro.2017.03.1592
• 发表时间: 2017
• 期刊: Energy Procedia
• 作者: Govindan R

The Development of a Dynamic CO2 Injection Strategy for the Depleted Forties and Nelson Oilfields Using Regression-based Multi-objective Programming

使用基于回归的多目标规划为枯竭的四十年代和尼尔森油田制定动态二氧化碳注入策略

• DOI: 10.1016/j.egypro.2017.03.1465
• 发表时间: 2017
• 期刊: Energy Procedia
• 作者: Borda E

CO2 storage potential at Forties oilfield and the surrounding Paleocene sandstone aquifer accounting for leakage risk through abandoned wells

Forties 油田和周围古新世砂岩含水层的二氧化碳封存潜力可解释废弃井的泄漏风险

• DOI: 10.1016/j.egypro.2014.11.546
• 发表时间: 2014
• 期刊: Energy Procedia
• 作者: Babaei M

Evolutionary Optimisation for CO2 Storage Design Using Upscaled Models: Application on a Proximal Area of the Forties Fan System in the UK Central North Sea

使用放大模型的二氧化碳储存设计的进化优化：在英国北海中部四十年代风扇系统近区的应用

• DOI: 10.1016/j.egypro.2014.11.567
• 发表时间: 2014
• 期刊: Energy Procedia
• 作者: Babaei M

CO2 storage well rate optimisation in the Forties sandstone of the Forties and Nelson reservoirs using evolutionary algorithms and upscaled geological models

使用进化算法和升级地质模型对 Forties 和 Nelson 储层的 Forties 砂岩进行 CO2 封存井速率优化

• DOI: 10.1016/j.ijggc.2016.04.011
• 发表时间: 2016
• 期刊: International Journal of Greenhouse Gas Control
• 影响因子: 3.9
• 作者: Babaei M