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作 者:梁永光[1]
机构地区:[1]中石油大庆油田有限责任公司勘探开发研究院,黑龙江大庆163712
出 处:《长江大学学报(自科版)(中旬)》2015年第10期36-39,4-5,共4页Journal of Yangtze University(Nature Science Edition)
基 金:中国石油天然气股份有限公司科学研究与技术开发项目(2011E-1217)
摘 要:海拉尔盆地南屯组(k1n)地质成因复杂、储层岩石类型多样、孔隙结构复杂,导致应用常规方法识别流体精度较低。以岩心分析、压汞、试油及测井资料为基础,分析认为影响储层流体识别的主控因素主要为岩性和孔隙结构。针对2个主控因素,在响应机理分析基础上分别提取并构建了2个敏感参数,结合常规的自然电位相对值及孔隙度,通过主成分分析法建立主成分因子模型后,采用交会图技术进行流体识别。该方法经36口井试油验证,流体识别精度由75%提高到87.3%,应用效果较好。The complex geologic origin,various reservoir rock types and the complex pore structure of Nantun Formation in Hailar Basin induced low precision of fluid identification with conventional methods.The main factors of controlling reservoir fluid identification were lithology and pore structure on the basis of the core analysis,mercury injection,formation testing and well logging data.Two sensitive parameters were established for the 2main controlling factors based on the logging response mechanism,combined with the relative value of conventional natural potential and porosity,the principal component factor model was established through principal component analysis method,the crossplot technique was deployed for fluid identification.The method is proven in 36 wells for formation testing,better application effect is obtained,the fluid identification accuracy is improved from 75%to 87.3%.
分 类 号:P631.84[天文地球—地质矿产勘探]
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