摘要
油气储层产能作为一个表示动态特征的参数，是储层评价的重要指标之一。依据测井资料进行产能预测是测井资料综合解释的一个新的拓展方向。文中讨论了测井产能预测的原理，采用模糊模式识别和人工种经网络技术建立了预测系统，并给了成功的预测范例，从而证实了方法的有效性。
As a parameter representing the dynamic characteristic, oil--gas reservoir performance isone of main indices for reservoir evaluation. The prediction of reservoir performance with well--loggingdata is a new field of compehensive interpretation in well--logging. In this paper, the principle of reservoir--performance prediction with well--logging data is discussed. A prediction system using fuzzy patternrecognition and neural network has been established. The successful prediction examples confirm the validity of the methods.
出处
《长春科技大学学报》
CSCD
1999年第2期179-183,共5页
Journal of Changchun University of Science and Technology
关键词
测井资料
油气储层
产能预测
油气田
well--logging data
oil--gas reservoir performance
prediction
