西南石油大学学报(自然科学版) ›› 1999, Vol. 21 ›› Issue (2): 5-8.DOI: 10.3863/j.issn.1000-2634.1999.02.02

• 油气藏工程 • 上一篇    下一篇

智能化辅助试井解释

陈伟1 段永刚1 刘辉1 谢军2   

  1. 1.西南石油学院计科系,四川 南充 637001; 2.川中油气勘探开发公司
  • 收稿日期:1998-10-30 修回日期:1900-01-01 出版日期:1999-04-20 发布日期:1999-04-20

ARTIFICIAL INTELLIGENCE TO ASSIST WELL TESTING INTERPRETATION

Chen Wei1 Duan Yong-gang1 Liu Hui1 Xie Jun2   

  1. Southwest Petroleum Inst
  • Received:1998-10-30 Revised:1900-01-01 Online:1999-04-20 Published:1999-04-20

摘要: 综合集成的试井解释模型和解释模型的自动识别一直是试井解释研究的热点,文中提出了一种基于句法模式识别的试井模型识别新技术,它克服了现有技术在曲线形态识别与模型诊断推理方面的困难,将模型识别的复杂过程分为特征抽取、形态跟踪、模型推断等简单过程;利用试井分析和非线性最优化技术形成了一套集成多种解释模型的高效率解释软件。

关键词: 人工智能, 模式识别, 试井解释, 曲线拟合

Abstract:

Comprehensively integrated well testing interpretation model and the automatic recognization of the model have being a hard point for the study on the area. In order to solve the problems of curve pattern recognization and model diagnosing inference, a new method of well testing model recognization is presented in the paper based on syntactic pattern recognization. The complicated process recognizing pattern is simplified into characteristic extraction, shape tracing and model inference. A set of highly effective interpretation software integrating interpretation models is developed by well testing analyses and nonlinear optimization technology.

Key words: artificial intelligence, model recognization, well testing interpretation, curve match

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