西南石油大学学报(自然科学版) ›› 2000, Vol. 22 ›› Issue (4): 41-43.DOI: 10.3863/j.issn.1000-2634.2000.04.012

• 石油工程 • 上一篇    下一篇

有限导流垂直压裂井混合遗传自动试井分析

段永刚1 陈伟1 黄诚1 舒能益2 焉斌2 唐炳军3   

  1. 1.西南石油学院,四川南充637001; 2.西南石油局川北采炼处, 3.胜利油田孤东采油厂
  • 收稿日期:2000-05-23 修回日期:1900-01-01 出版日期:2000-11-20 发布日期:2000-11-20

APPLICATION OF AUTOMATED MATCHING BASED ON HYBRID GENETIC ALGORITHM TO FINITE-CONDUCTIVITY FRACTURED WELL

DUAN Yong-gang CHEN Wei HUANG Chen SU Neng-yi YAN Bin et al   

  1. Southwest Petroleum Inst
  • Received:2000-05-23 Revised:1900-01-01 Online:2000-11-20 Published:2000-11-20

摘要: 在低渗透油气藏中,压裂是油气田增产的主要措施之一,对于压裂后的试井评价,是压后评估的重要内容。应用了源函数得到的有限导流压裂井的线源模型,同时考虑到裂缝壁面表皮系数Sf因素的影响,所以,论文建立了地层渗流和井筒流动的完整模型,并且应用边界元方法进行了模型求解;针对压裂井的模型参数多、解释困难这一特点,应用了混合遗传优化进行自动解释,取得了较为满意的结果。
 

关键词: 试井分析, 压裂井, 自动拟合, 优化, 遗传算法

Abstract: Fracturing is the primary stimulation measure for low permeability reservoir and well test is an important way for postfractured evaluation. In this paper, the complete reservoir and wellbore couple model was set up through the combination of line source model, which derived from source function of finite
-conductivity fractured well, with the skin damage factor Sf of fracture face. We have solved the model by employing boundary element and obtained good results through the application of automated matching typical curve of well test based on hybrid genetic optimization method.

Key words: well test analysis, fractured well, automated fitting, optimization, genetic algorithm

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