• Pore-scale Investigation on Displacement of Porewater by Supercritical CO2 Injection Using a Micromodel
  • Park, Bogyeong;Lee, Minhee;Wang, Sookyun;
  • Department of Energy Resources Engineering, Pukyong National University;Department of Earth Environmental Science Engineering, Pukyong National University;Department of Energy Resources Engineering, Pukyong National University;
  • 초임계상 이산화탄소 주입으로 인한 공극수 대체에 관한 공극 규모의 마이크로모델 연구
  • 박보경;이민희;왕수균;
  • 부경대학교 에너지자원공학과;부경대학교 지구환경과학과;부경대학교 에너지자원공학과;
Abstract
A micromodel was applied to estimate the effects of geological conditions and injection methods on displacement of resident porewater by injecting scCO2 in the pore scale. Binary images from image analysis were used to distinguish scCO2-filled-pores from other pore structure. CO2 flooding followed by porewater displacement, fingering migration, preferential flow and bypassing were observed during scCO2 injection experiments. Effects of pressure, temperature, salinity, flow rate, and injection methods on storage efficiency in micromodels were represented and examined in terms of areal displacement efficiency. The measurements revealed that the areal displacement efficiency at equilibrium decreases as the salinity increases, whereas it increases as the pressure and temperature increases. It may result from that the overburden pressure and porewater salinity can affect the CO2 solubility in water and the hydrophilicity of silica surfaces, while the neighboring temperature has a significant effect on viscosity of scCO2. Increased flow rate could create more preferential flow paths and decrease the areal displacement efficiency. Compared to the continuous injection of scCO2, the pulse-type injection reduced the probability for occurrence of fingering, subsequently preferential flow paths, and recorded higher areal displacement efficiency. More detailed explanation may need further studies based on closer experimental observations.

Keywords: Micromodel;Supercritical CO2;Areal displacement efficiency;Binary image;Injection methods;

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This Article

  • 2016; 21(3): 35-48

    Published on Jun 30, 2016

  • 10.7857/JSGE.2016.21.3.035
  • Received on Jan 25, 2016
  • Revised on Mar 13, 2016
  • Accepted on Mar 28, 2016