烃类体系相态特征图的ANN识别方法  

RECOGNITION OF PHASE BEHAVIOR OF HYDROCARBON SYSTEM

作　　者：王天顺[1] 赵敏[1] 

机构地区：[1]西南石油学院

出　　处：《石油勘探与开发》1996年第2期88-91,共4页Petroleum Exploration and Development

摘　　要：本文提出了用人工神经网络技术（ＢＰ网络）来辨识烃类体系相态特征图的方法。重点介绍了ＢＰ网络及算法和相态特征图的人工神经网络辨识方法。这加深了对烃类相态特征的认识，提高了识别油气藏的准确性。文后给出了应用实例，证实了本文方法的可行性。This paper puts forward a method of recognizing the phase behavior of hydrocarbon system by using artificial neural network (BP network), focusing on the BP network and algorithm as well as the neural network recognition of phase behavior, which deepens the understanding to the phase behavior of hydrocarbon and improves the precision of oil and gas reservoir identification. Field application examples given in the late part of the paper have confirmed the feasibility of this method.

关 键 词：烃类体系 相态特征图 人工神经网络 识别 原油 

分 类 号：TE622.11[石油与天然气工程—油气加工工程] TP18[自动化与计算机技术—控制理论与控制工程]