塔河油田下奥陶统碳酸盐岩储层测井分类识别研究  

STUDY ON LOGGING INTERPRETATION OF CLASSIFICATION DISCRIMINATION OF THE LOWER ORDOVICIAN CARBONATE RESERVOIRS OF THE TAHE OILFIELD

作　　者：智慧文[1] 肖慈珣[2] 李国蓉[1] 黄科[1] 汪华[2] 

机构地区：[1]成都理工大学能源学院,成都610059 [2]成都理工大学信息工程学院,成都610059

出　　处：《物探化探计算技术》2006年第2期101-105,共5页Computing Techniques For Geophysical and Geochemical Exploration

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。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.

关 键 词：塔河油田 碳酸盐岩 分类识别 测井解释 神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]