Reservoir Engineering

Experiment on Physical Simulation of Multi-phase Synergistic Steam Flooding in Heavy Oil Reservoirs

  • Liu Gang ,
  • Cao Han ,
  • Zhu Aiguo ,
  • Li Yiqiang ,
  • Yue Hang
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  • 1. PetroChina Xinjiang Oilfield Company, Karamay, Xinjiang 834000, China;
    2. State Key Laboratory of Oil and Gas Resources and Exploration, Beijing 102249, China;
    3. China University of Petroleum (Beijing), Beijing 102249, China

Received date: 2022-04-08

  Revised date: 2022-11-15

  Online published: 2023-07-13

Abstract

In a case study of heavy oil reservoirs in IX6 Well Block, Xinjiang Oilfiled, physical simulation test of multi-media assisted steam flooding was conducted to address such problems as prominent vertical contradiction in the late stage of steam flooding in heavy oil reservoirs and serious steam channeling in the high-permeability layer. Firstly, the gelling performance and viscosity reducing effect of gel were evaluated, and then the combination mode of multi-phase synergistic steam flooding was optimized by full-diameter core. The results show that after the high-permeability layer was plugged by gelling, the subsequently injected multi-phase media effectively entered the low-permeability layer and drove the remaining oil in the low-permeability reservoir. Nitrogen was injected after viscosity reducer injected to effectively enhance the elastic energy and fluidity of crude oil, which was conductive to expanding the sweep volume of steam. The multi-phase synergistic steam flooding development mode of plugging control, viscosity reduction and pressurization is the best combination mode, which can improve the oil recovery rate by 23.65 percentage points. The study results can provide technical reference for the improved late development effect of steam flooding in heavy oil reservoirs.

Cite this article

Liu Gang , Cao Han , Zhu Aiguo , Li Yiqiang , Yue Hang . Experiment on Physical Simulation of Multi-phase Synergistic Steam Flooding in Heavy Oil Reservoirs[J]. Special Oil & Gas Reservoirs, 2023 , 30(3) : 131 -136 . DOI: 10.3969/j.issn.1006-6535.2023.03.016

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