Progress and prospects of carbon dioxide capture, EOR-utilization and storage industrialization

Yuan, Sanyi; Ma, Donghao; LI, Junshi; Zhou, Tiyao; Ji, Zemin; Han, Haishui

doi:10.1016/s1876-3804(22)60324-0

Cited by 90 publications

(35 citation statements)

References 5 publications

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“…Carbon dioxide capture, EOR utilization, and storage (CCUS-EOR) is the most practical and feasible large-scale carbon reduction technology . When CO 2 is injected into the reservoir, the fluid properties under oil reservoir conditions are improved by IFT reduction, crude oil viscosity reduction, oil expansion, and extraction effect on lighter hydrocarbon components.…”

Section: Resultsmentioning

confidence: 99%

“…Furthermore, the maximum equilibrium emulsified oil ratio and the emulsification speed of three ionic liquid surfactant solutions were different. Among them, the emulsification speed of 36 When CO 2 is injected into the reservoir, the fluid properties under oil reservoir conditions are improved by IFT reduction, crude oil viscosity reduction, oil expansion, and extraction effect on lighter hydrocarbon components. Today, the CCUS-EOR technology can not only greatly improve the recovery of low-permeability oil fields but also balance the CO 2 concentration and achieve higher economic efficiency.…”

Section: Analysis Of Emulsification Capacitymentioning

confidence: 99%

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Synthesis and Evaluation of Interfacial Properties and Carbon Capture Capacities of the Imidazolium-Based Ionic Liquid Surfactant

et al. 2023

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Ionic liquid as a chemical flooding agent has broad application prospect in enhancing oil recovery. In this study, a bifunctional imidazolium-based ionic liquid surfactant was synthesized, and its surface-active, emulsification capacity, and CO2 capture performance were investigated. The results show that the synthesized ionic liquid surfactant combines the characteristics of reducing interfacial tension, emulsification, and CO2 capture. The IFT values for [C12mim][Br], [C14mim][Br], and [C16mim][Br] could decrease from 32.74 mN/m to 3.17, 0.54, and 0.051 mN/m, respectively, with increasing concentration. In addition, the emulsification index values are 0.597 for [C16mim][Br], 0.48 for [C14mim][Br], and 0.259 for [C12mim][Br]. The surface-active and emulsification capacity of ionic liquid surfactants improved with the increase in alkyl chain length. Furthermore, the absorption capacities reach 0.48 mol CO2 per mol of ionic liquid surfactant at 0.1 MPa and 25 °C. This work provides theoretical support for further CCUS-EOR research and the application of ionic liquid surfactants.

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Section: Resultsmentioning

confidence: 99%

Section: Analysis Of Emulsification Capacitymentioning

confidence: 99%

Synthesis and Evaluation of Interfacial Properties and Carbon Capture Capacities of the Imidazolium-Based Ionic Liquid Surfactant

et al. 2023

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“…This process enables CO 2 to drive more crude oil toward production wells and improve recovery efficiency. Injected CO 2 primarily occupies the original pores of the produced fluid and dissolves in formation water and crude oil, achieving CO 2 geological storage. , With a worldwide oil field recovery rate not exceeding 40%, a considerable amount of oil still remains in reservoirs. At the same time, the oil industry urgently needs to reduce carbon emissions .…”

Section: Storage Sitesmentioning

confidence: 99%

Recent Advances in Geological Storage: Trapping Mechanisms, Storage Sites, Projects, and Application of Machine Learning

Feng

et al. 2023

Energy Fuels

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A significant amount of carbon dioxide (CO2) is being released into the atmosphere as a result of the acceleration of industrialization and increased energy consumption, which are causing a rise in world temperatures. Despite the fact that nations all over the world have actively participated in CO2 storage projects, there is still not enough to moderate global temperatures. Therefore, there is an urgent need for the development of CO2 sequestration technologies. The main geological storage trapping mechanisms are discussed in this work along with an analysis of the major influencing variables. Additionally, the benefits and drawbacks of significant storage locations and current research hotspots are explored. Storage project development across the globe is outlined. The use of machine learning for CO2 sequestration is reviewed toward the end. This extensive review reveals that the main variables affecting CO2 capture capacity are hydrodynamic and geochemical. The sequestration capability of various storage sites is significantly influenced by the reservoir characteristics and implementation methodologies. The successful implementation of the storage project is determined by local policies and public support. The development of machine learning technologies makes storage projects safer and more dependable.

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“…Finally, specific suggestions for the sustainable development of China's CCUS-EOR industry are put forward from the aspects of development basis, main tasks, project operation, policies and regulations, and so on. According to the research of Yuan et al (2022), it is expected that in 2030, the annual CO 2 injection scale of China's CCUS-EOR industry will reach 30 million tonnes, and the annual oil increase scale will reach 10 million tonnes. Joppa et al (Lucas et al, 2021) from Microsoft introduce the valuable experiences of their company and prove that underground sequestration is the best way to store CO 2 .…”

Section: Introductionmentioning

confidence: 99%

Challenge and strategy for the successful application of CCUS-EOR in China

Kang

Zhou

et al. 2023

Front. Energy Res.

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Progress and prospects of carbon dioxide capture, EOR-utilization and storage industrialization

Cited by 90 publications

References 5 publications

Synthesis and Evaluation of Interfacial Properties and Carbon Capture Capacities of the Imidazolium-Based Ionic Liquid Surfactant

Synthesis and Evaluation of Interfacial Properties and Carbon Capture Capacities of the Imidazolium-Based Ionic Liquid Surfactant

Recent Advances in Geological Storage: Trapping Mechanisms, Storage Sites, Projects, and Application of Machine Learning

Challenge and strategy for the successful application of CCUS-EOR in China

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