西南石油大学学报(自然科学版)

• 油气化学工程与化工 • 上一篇    下一篇

挥发性油藏组分梯度模型研究

杨宝泉1,杨莉1,王星2,苑志旺1,卜范青1   

  1. 1. 中海油研究总院,北京东城100027
    2. 中海油伊拉克有限公司,北京东城100010
  • 出版日期:2013-08-01 发布日期:2013-08-01
  • 基金资助:

    国家科技重大专项(2011ZX05030–005)。

Study of Compositional Gradient Model for Volatile
Fluid Reservoir

Yang Baoquan1, Yang Li1, Wang Xing2, Yuan Zhiwang1, Bo Fanqing1   

  1. 1. CNOOC Research Institute,Dongcheng,Beijing 100027,China
    2. CNOOC Iraq Limited Company,Dongcheng,Beijing 100010,China
  • Online:2013-08-01 Published:2013-08-01

摘要:

挥发性油藏的地层流体由于受到压力、温度和深度的影响,常表现出组分随深度的变化,即组分梯度特征,国
内对该类型流体表征研究甚少。首先归纳总结了考虑重力、地温梯度和热扩散效应下的组分梯度理论模型;选取一个
典型的存在组分梯度的挥发油藏,模拟计算了在重力和地温梯度双重作用下的原油组分、体积系数和气油比随深度的
变化规律;应用该模型中体积系数随深度的变化规律提高了地质储量的计算精度;在油藏数值模拟中应用该组分梯度
模型,其气油比和井底压力拟合的精度远高于定组分模型,说明该组分梯度模型能更好地描述该油藏的开发动态特
征;该成果可以对油藏开发管理提供重要依据,也可为同类型油藏的研究提供重要的借鉴意义。

关键词: 深水油田, 挥发油, 组分梯度, 地质储量, 油藏模拟

Abstract:

Under the effect of pressure,temperature and depth,the volatile fluid reservoir shows obviously the reservoir
composition change with the well depth,about which little research is done in domestic companies and universities. Firstly,the
paper summarizes the theory model of its compositional gradient with consideration of gravity,thermal gradient and thermal
diffusion. Under the gravity and thermal gradient model,phase state regression and gradient simulation are finished for all
samples. The more reasonable compositional gradient model can be found,which could describe prosperities variation with
depth better,such as compositions,GOR,volume factor,etc. Precision of OOIP evaluation is improved by using trend of
volume factor with depth. Matching of GOR and bottom-hole pressure is observably better than the fixed compositional model,
which shows that the model can describe fluid variation with depth during development. At the same time,the achievement
will provide significant evidence for reservoir development and management. What is more,the research method has important
reference value for similar fluid or reservoir.

Key words: deep-water field, volatile fluid, compositional gradient, OOIP, reservoir simulation