复杂砂岩储层分类测井识别方法及应用

Logging identification of complicated sand reservoir classification and its application

以白云深水储层区域珠江组和珠海组为例,研究了复杂砂岩储层测井分类的方法及其应用。鉴于储层的不同孔隙结构特征在物性上的宏观表现的差异体现在孔渗关系的变化上,结合储层的宏观物性和微观孔隙结构的特征,利用孔隙结构分类结论来刻度流动带指标FZI,从而用FZI值进行储层类型的划分,并建立FZI划分储层类型的分类标准。基于分类标准,分析不同类型储层的测井响应特征,经过统计分析,从中提取出储层分类敏感参数,密度与自然伽马。根据多元分析法的原理,使用统计分析计算软件SPSS建立白云深水储层区域珠江组和珠海组储层类型的Fisher数学判别模型,把该分类模型应用到未参与建模的5口井中进而识别储层类型,符合率达到了76%,结果表明:该方法实用、可靠。

Taking the sand reservoirs of Zhujiang and Zhuhai Formations in Baiyun Shenshui area as an example,the logging identification was studied. The macroscopic performance of reservoir with different pore structure was the change relationship between porosity and permeability,using the classification of pore structure scale flow zone index FZI. According to the reservoir characteristics of macroscopic properties and microscopic pore structure,the scale of the flow zone index value was obtained by the classification of pore structure. this value is used classify reservoir types and to establish reservoir classification criteria. Then the logging response characteristics were analyzed,and the reservoir classification parameters of these two formations were extracted and it was shown that the sensitive parameters of Zhujiang and Zhuhai formation were the natural gamma ray（ GR）,the density（ DEN）. Finally,the Fisher model of the reservoir classification was established by using the SPSS software,and the application of the model to the reservoir evaluation of five wells not included in the process of building the model showed that the discriminant accuracy rate reaches 76%,which indicated a high reliability of the method.