Technical and Economic Evaluation of CO2 Capture and Reinjection Process in the CO2 EOR and Storage Project of Xinjiang Oilfield

• Published in: Energies (Basel) Vol. 14; no. 16; p. 5076
• Main Authors: Zhang, Liang, Geng, Songhe, Yang, Linchao, Hao, Yongmao, Yang, Hongbin, Dong, Zhengmiao, Shi, Xian
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2021
• Subjects: Carbon dioxide; Carbon sequestration; CO2 capture efficiency; CO2 EOR and storage; Coal-fired power plants; Design; economic evaluation; Economic models; Emission analysis; Emissions; Energy consumption; Enhanced oil recovery; Flue gas; Fractionation; Gas production; Industrial design; Industrial plant emissions; Low temperature; Membrane separation; Oil and gas fields; Oil and gas production; Oil field equipment; Oil fields; Permeability; Pilot projects; Pressure swing adsorption; process optimization; Reinjection; Sensitivity analysis; Storage; China
• ISSN: 1996-1073; 1996-1073
• DOI: 10.3390/en14165076

CO2 capture and reinjection process (CCRP) can reduce the used CO2 amount and improve the CO2 storage efficiency in CO2 EOR projects. To select the best CCRP is an important aspect. Based on the involved equipment units of the CCRP, a novel techno-economic model of CCRP for produced gas in CO2 EOR and storage project was established. Five kinds of CO2 capture processes are covered, including the chemical absorption using amine solution (MDEA), pressure swing adsorption (PSA), low-temperature fractionation (LTF), membrane separation (MS), and direct reinjection mixed with purchased CO2 (DRM). The evaluation indicators of CCRP such as the cost, energy consumption, and CO2 capture efficiency and purity can be calculated. Taking the pilot project of CO2 EOR and storage in XinJiang oilfield China as an example, a sensitivity evaluation of CCRP was conducted based on the assumed gas production scale and the predicted yearly gas production. Finally, the DRM process was selected as the main CCRP associated with the PSA process as an assistant option. The established model of CCRP can be a useful tool to optimize the CO2 recycling process and assess the CO2 emission reduction performance of the CCUS project.