【摘要】 应用测井资料识别川东飞仙关组鲕滩储层是个新课题。文章从鲕滩层的测井响应特征出发 ,在提取岩性特征测井参数和建立电相—岩相库统计模式的基础上 ,采用极值方差聚类法实现自动分层 ,以灰色关联法识别单井剖面的鲕滩相地层 ;同时 ,结合储层物性参数解释建立了鲕滩储层测井识别模式 ,编制了鲕滩储层测井识别处理程序。应用表明 ,该套方法具有较高的分辨力 ,能识别出单井剖面中 0 .5m以上的鲕滩储层 ,提高了鲕滩储层的纵横向预测精度更多还原

【Abstract】 It is a new problem to identify the oolitic beach reservoirs of Feixianguan Formation in East Sichuan by log data.In light of the log response property of oolitic beach layers and on the basis of picking up the log parameters expressing lithological characteristics and of setting up an electrofacies lithofacies database statistical mode,an automatic layer separation may be realized by use of extremum variance clustering procedure and the oolitic beach layers in a single well profile can be recognized by grey association analysis method.In addition,in combination with the reservoir petrophysical parameter interpretation,a model of logging identification on oolitic beach reservoirs was set up and relevant processing program was composed.Through applying it is shown that this method is of high resolution,by which the oolitic beach reservoirs with a thickness of over 0.5m in a single well profile can be recognized,thus raising the vertical and transversal prediction accuracies of the oolitic beach reservoirs.更多还原