西南石油大学学报(自然科学版) ›› 1999, Vol. 21 ›› Issue (2): 68-69.DOI: 10.3863/j.issn.1000-2634.1999.02.19

• 钻采工艺与设备 • Previous Articles     Next Articles

THE SCALE PREDICTION OF SURFACE GATHERING PIPELINE OIL FIELD BASED ON ARTIFICIAL NEURAL NETWORK

FU Ya-rong1 WANG Kai-bing1,WANG Jing-que1   

  1. NO.5 Production Unit,North China Petroleum Administrative Bureau
  • Received:1998-09-30 Revised:1900-01-01 Online:1999-04-20 Published:1999-04-20

Abstract: According to the theory of artificial neural network, prediction and judgement the scale of the gathering pipeline in oil field can avoid the problem of various factors on scaling and the scale of the gathering pipeline can be predicted and judged correctly and easily. After application of this theory in analysis of a pipeline scale statue in one oil field, it is shown that the artificial neural network needn’t to establish mathematical model,instead, it adjusts the connected weight values automatically.Under the condition to get the representative training sample,the artificial neural network can successfully predict and judge the scale statue of the surface gathering pipeline in oil field.

Key words: nerve network, gathering line, scaling, prediction

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