基于BAM神经网络的钻井复杂事故识别研究

1993年 15卷 第1期
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RECOGNITION RESEARCH OF COMPLICATED CASES AND ACCIDENTS IN DRILLING OPERATION BASED ON BAM NEURAL NETWORK
梅文荣
Mei Wenrong
油井完井技术中心
Centre for well Completion Technology
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.
钻井事故; 模式识别; 人工智能; 神经网络;
Neural nestwork; Pattern recognition; Drilling accident; Artificial intelligence;
10.3863/j.issn.1000-2634.1993.01.008