一种新的识别低电阻率油层的交会图及其应用  

A new cross plot for identifying low resistivity reservoirs and its application

作　　者：陈刚[1] 

机构地区：[1]中国科学院地质与地球物理研究所

出　　处：《中国石油大学学报（自然科学版）》2008年第3期36-39,共4页Journal of China University of Petroleum(Edition of Natural Science)

基　　金：“十五”国家科技攻关项目(2001BA605A09-11)

摘　　要：在充分认识砂层厚度对苏北盆地低电阻率油层影响的基础上,提出了一种砂层厚度与电阻率的交会图识别低电阻率油层的方法。首先给出低电阻率油层的厚度和电阻率的范围,以此作厚度与电阻率的交会图,在交会图上可以确定出油层和水层的包络线,据此可以给出低电阻率油层的厚度及电阻率的上、下限值;再结合人工神经网络识别低电阻率油层的方法,对油层、水层及干层进行进一步判别。应用此方法对苏北盆地沙7断块阜三段低电阻率油层进行了判别。结果表明,此方法有效提高了对低电阻率油层的识别能力,提高了测井解释的符合率。苏北盆地沙7断块阜三段经此方法判别,新增低电阻率油层12个,大大提高了油田的经济效益。A low resistivity reservoir identification method of thickness-resistivity cross plot was presented on the basis of the recognition of the effect of sand thickness on the low resistivity reservoirs of North Jiangsu Basin. First according to the distribution of thickness and resistivity, thickness-resistivity cross plot, by which envelope of oil layer and water layer can be deter-mined, was made, and the thickness and the upper and lower limit of resistivity of the low resistivity reservoirs were provided. Then combined the artificial nerve network method, further discrimination was taken to the oil layer, water layer and dry layer of the low resistivity reservoir. By this method, the low resistivity reservoir was discriminated in member 3 of Funing formation in the 7th fault block of Shanian Oilfiled in North Jiangsu Basin. The results show that the ability of identifying the low resistiw ity reservoir was improved effectively and the coincidence rate of log interpretation was enhanced. By the identification method, another 12 low resistivity oil layers were found in member 3 of Funing formation in the 7th fault block of Shanian Oilfield of North Jiangsu Basin. This shows that the identification method can obviously enhance the economic benefit of Jiangsu Oilfield.

关 键 词：低电阻率油层 厚度 电阻率 交会图 油层识别 

分 类 号：TE122.111[石油与天然气工程—油气勘探]