RECOGNITION RESEARCH OF COMPLICATED CASES AND ACCIDENTS IN DRILLING OPERATION BASED ON BAM NEURAL NETWORK

doi:10.3863/j.issn.1000-2634.1993.01.008

西南石油大学学报(自然科学版) ›› 1993, Vol. 15 ›› Issue (1): 49-55.DOI: 10.3863/j.issn.1000-2634.1993.01.008

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RECOGNITION RESEARCH OF COMPLICATED CASES AND ACCIDENTS IN DRILLING OPERATION BASED ON BAM NEURAL NETWORK

Mei Wenrong

Centre for well Completion Technology

Received:1992-07-15 Revised:1900-01-01 Online:1993-02-20 Published:1993-02-20

Abstract

Abstract: On the basis of analyzing the complicated cases and accidents in drilling operation in detail,this paper prented a new method,neural nestwork,and applied it successfully to solve the recognition of the complicates cases and accidents in drilling operration.BAM neural network has such features as simple model and algorithm,so it can ba used as a better tool for the research similar to pattern recognition.Neural network is a branch of artificial intelligence,and has a wide application prospect.

Key words: Neural nestwork, Pattern recognition, Drilling accident, Artificial intelligence

CLC Number:

TE28
TP18

Mei Wenrong. RECOGNITION RESEARCH OF COMPLICATED CASES AND ACCIDENTS IN DRILLING OPERATION BASED ON BAM NEURAL NETWORK[J]. 西南石油大学学报(自然科学版), 1993, 15(1): 49-55.

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URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.3863/j.issn.1000-2634.1993.01.008

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RECOGNITION RESEARCH OF COMPLICATED CASES AND ACCIDENTS IN DRILLING OPERATION BASED ON BAM NEURAL NETWORK

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