Mingguo Peng, Zhou Yan, Yang Jun, Jun Wang, Zeyu Lin, Jing Zhao
{"title":"Experimental investigation and multi-scale simulations of CO₂ foam flooding for enhanced oil recovery","authors":"Mingguo Peng, Zhou Yan, Yang Jun, Jun Wang, Zeyu Lin, Jing Zhao","doi":"10.46690/capi.2025.08.02","DOIUrl":null,"url":null,"abstract":"CO₂ flooding in low-permeability and tight oil reservoirs is frequently compromised by severe gas channeling, which significantly reduces oil recovery and sweep efficiency. While foam flooding can effectively mitigate CO₂ channeling by trapping CO₂ within lamellae, its stability deteriorates under harsh high-temperature, high-salinity reservoir conditions, compromising its effectiveness. Furthermore, foam flow in porous media involves constant foam generation, collapse and propagation, making its flow behaviors difficult to predict. To address these challenges, a new foaming agent with satisfactory regenerative capability is developed to maintain gas mobility control under harsh reservoir conditions. The multiphase flow behaviors during CO₂ foam flooding are predicted using pore network modeling to obtain the corresponding relative permeability curves, which are further incorporated into a reservoir simulator to evaluate field-scale foam flooding performances, as well as optimize injection strategies. This multi-scale modeling approach establishes a quantitative link between pore-scale foam behaviors and field-scale oil recovery performances, offering new insights into carbon capture and utilization with enhanced oil recovery in low-permeability and tight reservoirs. Document Type: Original article Cited as: Peng, M., Zhou, Y., Yang, J., Wang, J., Lin, Z., Zhao, J. Experimental investigation and multi-scale simulations of CO₂ foam flooding for enhanced oil recovery. Capillarity, 2025, 16(2): 39-50. https://doi.org/10.46690/capi.2025.08.02","PeriodicalId":505161,"journal":{"name":"Capillarity","volume":"16 2","pages":"39-50"},"PeriodicalIF":0.0000,"publicationDate":"2025-06-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://capi.yandypress.com/index.php/2709-2119/article/download/143/136","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Capillarity","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.46690/capi.2025.08.02","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
CO₂ flooding in low-permeability and tight oil reservoirs is frequently compromised by severe gas channeling, which significantly reduces oil recovery and sweep efficiency. While foam flooding can effectively mitigate CO₂ channeling by trapping CO₂ within lamellae, its stability deteriorates under harsh high-temperature, high-salinity reservoir conditions, compromising its effectiveness. Furthermore, foam flow in porous media involves constant foam generation, collapse and propagation, making its flow behaviors difficult to predict. To address these challenges, a new foaming agent with satisfactory regenerative capability is developed to maintain gas mobility control under harsh reservoir conditions. The multiphase flow behaviors during CO₂ foam flooding are predicted using pore network modeling to obtain the corresponding relative permeability curves, which are further incorporated into a reservoir simulator to evaluate field-scale foam flooding performances, as well as optimize injection strategies. This multi-scale modeling approach establishes a quantitative link between pore-scale foam behaviors and field-scale oil recovery performances, offering new insights into carbon capture and utilization with enhanced oil recovery in low-permeability and tight reservoirs. Document Type: Original article Cited as: Peng, M., Zhou, Y., Yang, J., Wang, J., Lin, Z., Zhao, J. Experimental investigation and multi-scale simulations of CO₂ foam flooding for enhanced oil recovery. Capillarity, 2025, 16(2): 39-50. https://doi.org/10.46690/capi.2025.08.02