用核磁共振和常规测井资料预测毛细管压力曲线方法  

On Predicting Capillary Pressure Curve with NMR and Conventional Log Data

作　　者：刘春杨[1] 卢双舫[1] 薛海涛[1] 吴高平[1] 

机构地区：[1]东北石油大学地球科学学院,黑龙江大庆163318

出　　处：《测井技术》2010年第6期597-600,共4页Well Logging Technology

摘　　要：为了连续获取储层毛细管压力曲线以评价储层孔隙结构,针对非常有限的实测资料,以125块不同岩性的岩心压汞分析资料为基础,提出了在没有取心井的研究区域利用核磁共振测井有效孔隙度资料和常规密度测井资料预测岩石最终进汞饱和度模型,建立通过核磁共振T2谱的最大弛豫时间Tmax预测岩石的排替压力模型;利用对数和线性拟合关系,采用分段的方法构建毛细管压力曲线。该方法解决了现场很难准确获取渗透率资料的操作难题,在油田现场容易实施。经与实测曲线对比发现,利用新方法获得的结果可信度很高。In order to continuously obtain reservoir capillary pressure curves to evaluate reservoir pore structure,and based on very limited measured data and 125 cores of different lithology mercury injection data,put forward are a model forecasting rock maximal saturation of mercury injection with effective porosity provided by nuclear magnetic resonance logging and density data provided by conventional logging,and a model estimating displacement pressure on the basis of NMR T2 spectrum in the studied area without coring wells.On this basis,sectional method is used to build capillary pressure curves by use of logarithmic and linear fitting relationship.This method is easy to obtain permeability data and operate in log practice.The results obtained from this new method have very high reliability in comparison with experimental curves.

关 键 词：核磁共振测井 密度测井 T2谱 排替压力 毛细管压力曲线 储层评价 进汞饱和度 

分 类 号：P631.84[天文地球—地质矿产勘探]