摘要
针对特低渗透储层的岩心分析困难 ,尤其是饱和度的获得十分困难、测井解释难度大等问题 ,提出了一套系统的行之有效的解决方法。具体做法是 :(1)利用常规岩心分析方法获得孔隙度、渗透率资料 ;(2 )利用核磁共振成像技术来获得岩心含油饱和度资料 ;(3)利用改进了的人工神经网络建立高精度的孔隙度、渗透率和饱和度的测井解释模型。将这套方法用于大庆油田F4 8区块扶余油层的储层参数解释 。
It is difficult to the conventional core analysis especially measuring the saturation of unusual low permeability reservoir. Furthermore it is also difficult to well logging interpretation. So a way to solve these problems is provided. The method is as follows: (1) Porosity and permeability are measured by conventional core analysis. (2) Oil saturation of the core is measured by NMR(nuclear magnetic resonance) which can tell us more information about the distribution of fluid and the nature of fluid and so on. (3) The interpretation model of porosity, permeability and saturation are set up by using of improved NN(nerve network). This method is used in Daqing oil field F48 reservior. It is proved the method is very effective.
出处
《西南石油学院学报》
CSCD
2003年第2期1-3,共3页
Journal of Southwest Petroleum Institute
基金
"油气藏地质及开发工程"国家重点实验室开放基金项目 (PLN0 12 6)
关键词
特低渗透储层
测井解释
核磁共振
遗传
神经网络
unusual low permeability reservoir
log interpretation
nuclear magnetic resonance
GA nerve networks
