神经网络模式识别技术在涝洲五2井区的应用APPLICATION OF DISTINGUISHING TECHNIQUE OF NERVE NETWORK MODE INWU 2 WELL AREA IN LAOZHOU
钟延秋，陈树民
Zhong Yanqiu & Chen Shumin;
摘要(Abstract)：
利用人工神经网格模式识别技术，通过工作站、微机对涝洲五２井区扶余油层的９条测线的地震道，提取出了２８种地震信息，预测了该区的含气范围，为该区的勘探部署提供了重要依据。
Twenty eight seismic information is obtained by using distinguishing techniqueof artificial nerve network mode and through seismic trace of 9 measuring lines in Fuyu reser-voir of Wu 2 well area in Laozhou by work station and microcomputer.Gas bearing range ofthis area is predicted which provides important basis for its exploration and deployment.
关键词(KeyWords)：
神经网络，模式识别，数学模型
Nerve network,Mode distinguishing,Mathematical model.
基金项目(Foundation):
作者(Authors):
钟延秋，陈树民
Zhong Yanqiu & Chen Shumin;
DOI: 10.19597/j.issn.1000-3754.1995.02.008