西南石油大学学报(自然科学版) ›› 2006, Vol. 28 ›› Issue (3): 67-69.DOI: 10.3863/j.issn.1000-2634.2006.03.019

• 石油与天然气工程 • 上一篇    下一篇

求取压裂气井无阻流量的BP神经网络法

罗天雨 郭建春 赵金洲 吴建发
  

  1. (“油气藏地质及开发工程”国家重点实验室·西南石油大学,四川 成都 610500)
  • 收稿日期:2005-03-31 修回日期:1900-01-01 出版日期:2006-06-20 发布日期:2006-06-20
  • 通讯作者: 罗天雨

APPLCATION OF BP ARTIFICIAL NERVE NETWORKTO CALCULATE ABSOLUTE OPEN FLOW OF GAS WELLS AFTER FRACTURING

LUO Tian-Yu GUO Jian-shun ZHAO Jin-zhou et al.   

  1. (Southwest Petroleum University, Chengdu Sichuan 610500 , China )
  • Received:2005-03-31 Revised:1900-01-01 Online:2006-06-20 Published:2006-06-20

摘要: 与现在流行的求取压裂气井无阻流量的方法相比,BP人工神经网络方法具有极大的优越性和适用性,它勿需考虑压裂后气井的复杂渗流规律,也不需数值模拟。BP人工神经网络方法在训练时只需知道目标井的压后评估数据和区块内部分试井数据,为提高经济效益、快速、高效开发低渗气藏提供了新的技术手段。

关键词: 压裂气井, 无阻流量, BP神经网络

Abstract: In comparison with the traditional methods, the BP artificial nerve network method possesses considerable superiority and applicability and it isn' t in need of various steady percolation model based on the percolation theory of gas reservoirs after fractu-ring or numerical value simulation. The BP artificial nerve net-work method is only in want of the primary data of the target gas
well when forecasting absolute open flow and much practical tes-ting data of a few gas wells as the samples in the same reservoir,which provides a new feasible way for the exploitation of low-per-meability gas wells economically, speedly and eflectly.

Key words: gas wells after fracturing, absolute open flow, BP artificial nerve network method

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