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Network modelling of gas relative permeability in heavy oil.

机译:重油中气体相对渗透率的网络模型。

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摘要

Some of the solution gas drive heavy oil reservoirs (foamy oil reservoirs) in Canada, Venezuela, China, and Oman have experienced unusual high primary oil recovery factor (>10%), low producing gas oil ratio, low reservoir pressure decline, and high oil production rate. One of the hypotheses to explain the behaviour is that the gas mobility in foamy oil flow is much lower than that in conventional oil, leading to improved recovery performance. In this study, immiscible micro-displacement in porous media was modeled by using a network of pores of converging-diverging geometry. The effect of viscosity of one phase (oil) on the mobility of another phase (gas) is included in the model. The developed model is used to simulate the motion of the dispersed gas bubbles in an initially oil filled network, and to determine gas relative permeability. The obtained results showed that gas relative permeability decreased drastically by increasing the oil viscosity. In addition, it is shown that dispersion of gas leads to lower relative permeability to gas. Dispersed gas flow and low gas mobility are believed to lead to improved recovery in foamy oil reservoirs.
机译:加拿大,委内瑞拉,中国和阿曼的一些溶液气驱重油储层(泡沫油储层)经历了不同寻常的高一次采油率(> 10%),低产瓦斯油比,低储层降压和高产油率。解释这种现象的一种假设是,泡沫油流中的气体迁移率远低于常规油中的气体迁移率,从而提高了采收率。在这项研究中,通过使用会聚-发散的几何结构的孔隙网络对多孔介质中不混溶的微位移进行了建模。该模型包括一相(油)的粘度对另一相(气体)的迁移率的影响。开发的模型用于模拟最初充油的网络中分散的气泡的运动,并确定气体的相对渗透率。所得结果表明,通过提高油粘度,气体相对渗透率急剧降低。另外,显示出气体的分散导致相对低的气体相对渗透率。分散的气流和低的气体流动性被认为可以改善泡沫油藏的采收率。

著录项

  • 作者

    Javadpour, Farzam Ghorbani.;

  • 作者单位

    University of Calgary (Canada).;

  • 授予单位 University of Calgary (Canada).;
  • 学科 Engineering Petroleum.
  • 学位 M.Sc.
  • 年度 2001
  • 页码 p.1068
  • 总页数 179
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 石油、天然气工业;
  • 关键词

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