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 • Previous Articles     Next Articles

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

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

CLC Number: