2017
DOI: 10.1016/j.fuel.2017.06.076
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Investigation on matching relationship between dispersed particle gel (DPG) and reservoir pore-throats for in-depth profile control

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Cited by 104 publications
(55 citation statements)
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“…The pressure fluctuates continuously in a small range during subsequent water flooding, which reflects the continuous migration, blocking, remobilization and redistribution of the heterogeneous composite flooding system. And the injection pressure remains high throughout the process, indicating that the system has good resistance to erosion (Dai et al, 2017;Gong et al, 2017).…”
Section: Sealing-migration Law In Porous Mediamentioning
confidence: 99%
“…The pressure fluctuates continuously in a small range during subsequent water flooding, which reflects the continuous migration, blocking, remobilization and redistribution of the heterogeneous composite flooding system. And the injection pressure remains high throughout the process, indicating that the system has good resistance to erosion (Dai et al, 2017;Gong et al, 2017).…”
Section: Sealing-migration Law In Porous Mediamentioning
confidence: 99%
“…Zaitoun et al (2007) reported a field application of microgels in a gas storage reservoir and showed the existence of an optimal gel size of ∼2 µm for plugging of the high-permeability layer. Dai et al (2017) defined a matching factor to investigate the matching relationship between the particle size and the pore-throat size, and they found that the optimized matching factor ranged from 0.21 to 0.29. If the plugging effect was the only mechanism for EOR, the application of this method had to be very picky and limited.…”
Section: Introductionmentioning
confidence: 99%
“…The research results show that the stability of the PMs plays a decisive role in deep profile control (Afeez et al, 2018 ). If the stability is not good, the PMs will be absorbed in near the well-bore and plug the injection channel near the well-bore; thus, the purpose of in-deep profile control will not be achieved (Dai et al, 2017 ). In order to obtain PMs with better stability, many types of PMs have been developed (Hua et al, 2014 ; Mehta et al, 2015 ; Yang et al, 2017b ).…”
Section: Introductionmentioning
confidence: 99%