天然气地球科学
高级检索
作者投稿 专家审稿 编辑办公

天然气地球科学 ›› 2004, Vol. 15 ›› Issue (1): 42–46.doi: 10.11764/j.issn.1672-1926.2004.01.42

• 天然气地球物理勘探 • 上一篇    下一篇

利用分形条件模拟和流线模型预测剩余油气饱和度分布

乐友喜,王才经   

  1. (石油大学(华东)，山东 东营 257061)
  • 收稿日期:2003-07-14 修回日期:2003-11-15 出版日期:2004-02-20 发布日期:2004-02-20
  • 通讯作者: 乐友喜
  • 作者简介:乐友喜(1966-)，男，江苏盐城人，副教授，主要从事地球物理勘探、开发地震等研究.

PREDICTION OF REMAINING OIL DISTRIBUTION USIN G FRACTAL CONDITION SIMULATION AND STREAMLINE SIMULATOR

YUE You-xi, WANG Cai-jing   

  1. (Petroleum University, Dongying 257061, China)
  • Received:2003-07-14 Revised:2003-11-15 Online:2004-02-20 Published:2004-02-20

PDF (PC)

693

摘要：

预测剩余油气饱和度分布是高含水期油田研究的重要内容,也是评价二次采油或三次采油方案的重要依据。认为预测剩余油气饱和度分布的有效方法是:首先充分利用井点测试资料,采用先进的随机建模技术进行精细油藏描述,建立精细的多种可能的地质模型;然后对多种可能的地质模型进行精细的油藏模拟,并将模拟结果与实际观测资料进行比较,挑选出理想的地质模型;最后利用优选的地质模型通过水驱油流线模型数值模拟来预测剩余油气饱和度分布。应用实例表明,该方法在满足精度的条件下,运算速度明显加快,具有广阔的应用前景。

关键词: 剩余油分布, 分形条件模拟, 随机模拟, 流线模型

Abstract:

The prediction of remaining oil saturatio n distribution is the most important research aspect during high water-bearing  periods. It determines the scheme of secondary oil recovery and tertiary oil rec overy evaluation. One of the effective method is to adopt stochastic simulation  for fine reservoir description and establish several fine geology models taking  full advantage well testing data. The appropriate model is selected by fine rese rvoir modeling and comparing its result and the actual data. Finally, the remain ing oil saturation distribution is predicted through numeric simulation using wa ter displacing oil streamline simulator. Examples indicate that this method can  be carried out rapidly with high precision, and can be widely applied.

Key words: Remaining oil distribution, Fractal conditional simulation, Stochastic simulation, Streamline simulator.

中图分类号: 

  • TE122.2

[1 ]   Hewett T A. Fractal distributions of reservoir heterogeneity and  their influence on fluid transport [R ] .SPE Paper 15386，1986.
 [2 ]  Grane S E, Tubman K M. Reservoir variability and modeling with fractals [ R ]. SPE Paper 20606，SPE Ann.Tech.Conf., New Orleans, 1990.
 [3 ]  Rossini C, Erega F, Rovellini M, et al.Combined geostatistica and dynamic simalations for developing a reservoir management strategy：A case history [J ] .JPT，1994,11:79-85.
 [4 ]  Suro-Pera V, Ballin P, Aziz K, et al.Modeling Geological He terogeneities and Its Impact on Flow Simulator [R ]. SPE 22695，1991.
 [5 ]  Sen M K, Catta-Gupta A, Stoffa P L, et al. Stochastic reservoir modeling using simulated annealing and genetic algo rith ms [J ]. SPEFE,1995,10(1):35-57.
 [6 ]  Peddibhotla S, Cubillos H, Datta-Gupta A, et al.Rapid Simulation of Multiphase Flow Through Fine-Scale Geostatistical Realizations U sing a New 3D，Streamline Model：A Field Example [R ]. SPE  paper 36008, 1995.
 [7 ]  Batycky, Rob P, Martin J, et al.A 3D Field Scale Streamline Simulator  With Gravity and Changing Well Conditions [R ] .SPE paper 36726，1996.
 [8 ]  Gautier Y, Blunt M J, Christie M A. Nested Gridding and Streamline-Base d Simulation for Fast Reservoir Performance Prediction [R ]. SPE paper 51931，19 99.
[1] 鲁雪松，柳少波，李伟，卢玉红，李勇，张宝收. 低勘探程度致密砂岩气区地质和资源潜力评价——以库车东部侏罗系致密砂岩气为例[J]. 天然气地球科学, 2014, 25(2): 178-184.
[2] 贾玉梅, 徐芳, 陈斌, 李涛, 杜艳蕾. 基于地震资料的薄互层储层三维地质建模——以埕海油田二区为例[J]. 天然气地球科学, 2010, 21(5): 833-838.
[3] 宫长利, 马乔, 杨波, 赵仕民, 谭振华, 何书梅. 重力流沉积油藏剩余油分布规律及开发对策[J]. 天然气地球科学, 2008, 19(4): 557-560.
[4] 张淑品;于兴河;. 同位协同随机建模方法在储层预测中的应用[J]. 天然气地球科学, 2006, 17(3): 378-381.
[5] 李少华;汗日明;张昌民;张柏桥;胡涛;舒志国;. 结合露头信息建立储层地质模型[J]. 天然气地球科学, 2006, 17(3): 374-377.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
No Suggested Reading articles found!