基于遗传算法的人工神经网络在油水层识别中的应用  

Application of Artificial Neural Network Based on Genetic Algorithms in Oil and Water Bed Identification

作　　者：吴晓伟[1] 史有刚[2] 王顺华[2] 

机构地区：[1]胜利油田临盘采油厂 [2]胜利油田石油开发中心

出　　处：《内蒙古石油化工》2004年第1期160-162,共3页Inner Mongolia Petrochemical Industry

摘　　要：油水层识别是测井二次解释的重要内容。基于遗传算法的人工神经网络方法具有自学、自适应和抗干扰等特点 ,能有效地区分油水层。实际应用表明 ,其误判率远低于传统方法。Oil and water bed identification is main content of second interpretation of log data.The method of artificial neural network based on genetic algorithms has some characteristic,including self-study,self- adaptation and anti-jamming etc.It can distinguish oil bearing reservoirs from water bearing reservoirs efficaciously.The practice has indicated the failure rate is lower than that of traditional method.

关 键 词：遗传算法 人工神经网络 油水层 测井解释 水层 工程技术 计算机 

分 类 号：TE151[石油与天然气工程—油气勘探] TP183[自动化与计算机技术—控制理论与控制工程]