石油学报 ›› 2010, Vol. 31 ›› Issue (6): 989-992.DOI: 10.7623/syxb201006020

• 油田开发 • 上一篇    下一篇

本源微生物驱油渗流场—微生物场耦合数学模型

修建龙 1  俞  理 2  郭  英 3   

  1. 1中国科学院渗流流体力学研究所  河北廊坊  065007; 2中国石油勘探开发研究院廊坊分院  河北廊坊  065007; 3中国石油大庆油田有限责任公司勘探开发研究院  黑龙江大庆  163712
  • 收稿日期:2010-03-22 修回日期:2010-05-20 出版日期:2010-11-25 发布日期:2011-01-20
  • 通讯作者: 修建龙
  • 作者简介:修建龙,男,1982年2月生,2006年毕业于中国石油大学(华东),现为中国科学院渗流流体力学研究所博士研究生,主要研究方向为微生物驱油数值模拟。
  • 基金资助:

    国家高技术研究发展计划(863)项目(2009AA063504)和国家重点基础研究发展规划(973)项目(2005CB221308)联合资助。

A mathematical coupling model of seepage field and microbial field in the indigenous microbe enhancing oil recovery

XIU Jianlong 1  YU Li 2  GUO Ying 3   

  • Received:2010-03-22 Revised:2010-05-20 Online:2010-11-25 Published:2011-01-20

摘要:

通过对本源微生物驱油机理的研究,从好氧、厌氧两步激活理论出发,建立了一个全新的本源微生物驱油渗流场—微生物场耦合的数学模型,并给出了数值模型的求解思路。在该模型中,微生物作用下的渗流方程是时间和空间的函数,阐述了微生物本身及3类主要代谢产物(表面活性剂、聚合物及气体)对物性参数的作用与影响,同时渗流方程也体现了微生物采油的主要作用机理。微生物方程以网格内的物质均匀分布为基本假设,阐述了由于流体流动造成的物质分布的变化规律和微生物群落间的级联代谢过程。该模型为本源微生物驱油数值模拟软件的研发提供了理论依据。

关键词: 本源微生物, 渗流场, 微生物场, 耦合, 数学模型

Abstract:

Based on the two-step (aerobic/anaerobic) stimulation theory, the present paper studied the indigenous microbial enhanced oil recovery (IMEOR) mechanism and established a new mathematical model coupled by the seepage field and microbial field, which solved a couple of problems in this numerical model. For instance, a seepage equation under the action of microorganisms was a function of time and space, which elaborated impacts of microorganisms and their three major microbial metabolites (surfactant, polymer and gas) on several physical property parameters. Meanwhile, the seepage equation reflected some primary mechanisms (emulsification, viscosity reduction and profile control) of the microbial enhanced oil recovery. The microbial equation influenced by water flow was based on the assumption that materials in grids were distributed evenly, which indicated that the seepage field and microbial field must be solved simultaneously due to variations in the material distribution related with fluid flow, the cascade metabolic process among microbial communities and the coupling of these two fields. In sum, the model has improved the existing mathematical model for the indigenous microbial enhanced oil recovery, and provided a theoretical basis for researching and developing the numerical simulation software of the indigenous microbial enhanced oil recovery.

Key words: indigenous microbe, seepage field, microbial field, coupling, mathematical model