【摘要】 塔河油田下奥陶统碳酸盐岩为一套缝洞发育的复杂储层,通过大量已知井的测井曲线与岩心分析数据对照观察、分析,归纳出了五种储层的电性分类识别标准。在此基础上,又利用自然伽玛(GR)、深浅侧向电阻率(Rd,Rs)、声波时差(AC)、密度(DEN)、中子孔隙度(CNL)的响应特征,建立了神经网络识别模型。通过在该区三十多口井的实际应用,取得了较好的效果。更多还原

【Abstract】 The Lower Ordovician carbonate reservoirs of the Tahe oilfield mainly develope plenty of fractures and cavities.Based on observation and analysis of logging data and rock cores data,five types of carbonate reservoirs are distinguished.Using the response characters of GR,Rd,Rs,AC,DEN and CNL,a discrimination model with neural network algorithm is built.The discrimination results with more than thirty wells of the area confirm that the technique is feasible and brings good prediction effect.更多还原