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页岩岩相的测井曲线识别方法——以焦石坝地区五峰组—龙马溪组为例
引用本文:杨洋,石万忠,张晓明,王任,徐笑丰,刘俞佐,白卢恒,曹沈厅,冯芊.页岩岩相的测井曲线识别方法——以焦石坝地区五峰组—龙马溪组为例[J].岩性油气藏,2021(2).
作者姓名:杨洋  石万忠  张晓明  王任  徐笑丰  刘俞佐  白卢恒  曹沈厅  冯芊
作者单位:中国地质大学(武汉)资源学院;中国地质大学(武汉)教育部构造与油气资源重点实验室
基金项目:国际科技创新合作重点专项“中美石炭-二叠系页岩储层评价技术合作研究”(编号:2017YFE0106300);国家自然科学基金项目“页岩气储层总孔隙度表征及预测”(编号:41672134);国家“十三五”科技重大专项“页岩气区域选区评价方法研究”(编号:2016ZX05034-002-003)联合资助。
摘    要:页岩岩相的识别是页岩气勘探开发的基础工作,不同类型页岩具有不同物质组分与组构,进而具有不同的脆性度和物性,目前利用测井曲线来识别页岩岩相的研究较为薄弱。以焦石坝地区五峰组—龙马溪组3口井的测井资料、岩心测试数据为基础,通过多参数优选、多元线性拟合,分别建立了黏土矿物、硅质矿物相对含量的预测方程,探讨利用测井曲线识别页岩的方法。结果表明:黏土质页岩具有高DEN,CNL,K,KTh,低U,U/Th的特征;混合质页岩具有中DEN,U,CNL,K,KTh,U/Th的特征;硅质页岩具有高U,U/TH,低DEN,CNL,K,KTh的特征,并以此为依据,建立了页岩岩相识别雷达图版,不同岩相所对应的测井曲线数值在图版中有不同的分布范围,该图版可以有效识别页岩岩相,并能够对预测方程识别错误的岩相进行纠正,预测结果与实测值吻合度高。将预测方程定量识别岩相和雷达图版定性识别岩相结合起来,通过双重约束,可以很好地识别焦石坝地区五峰组—龙马溪组页岩岩相。

关 键 词:页岩  岩相识别  测井  雷达图  五峰组—龙马溪组  焦石坝地区

Identification method of shale lithofacies by logging curves:a case study fromWufeng-Longmaxi Formation in Jiaoshiba area,SW China
YANG Yang,SHIWanzhong,ZHANG Xiaoming,WANG Ren,XU Xiaofeng,LIU Yuzuo,BAI Luheng,CAO Shenting,FENG Qian.Identification method of shale lithofacies by logging curves:a case study fromWufeng-Longmaxi Formation in Jiaoshiba area,SW China[J].Northwest Oil & Gas Exploration,2021(2).
Authors:YANG Yang  SHIWanzhong  ZHANG Xiaoming  WANG Ren  XU Xiaofeng  LIU Yuzuo  BAI Luheng  CAO Shenting  FENG Qian
Affiliation:(School of Earth Resources,China University of Geosciences(Wuhan),Wuhan 430074,China;Key Laboratory of Tectonics and Petroleum Resources,Ministry of Education,China University of Geosciences(Wuhan),Wuhan 430074,China)
Abstract:Identification of shale lithofacies is the basis of shale gas exploration and development.Different types of shale have different material components and textures,and thus the brittleness and physical properties are different.At present,the study on shale lithofacies identification by logging curves is relatively weak.Based on logging data and core test data of three wells from Wufeng-Longmaxi Formation in Jiaoshiba area,through multi-parameter optimization and multivariate linear fitting,the prediction equations of relative content of clay minerals and siliceous minerals were established respectively,and the identification method of shale lithofacies by logging curves was discussed.The results show that argillaceous shale lithofacies has the characteristics of high DEN,CNL,K,KTh,and low U,U/Th,the mixed shale lithofacies has the characteristics of middle DEN,CNL,K,KTh,U,U/Th,and siliceous shale lithofacies has the characteristics of high U,U/Th and low DEN,CNL,K,KTh.Furthermore,a radar chart for shale facies identification was established.After corresponding processing,the logging curve values corresponding to different lithofacies have different distribution ranges in the chart.The chart can effectively identify shale lithofacies and correct the lithofacies identified by the prediction equation.The predicted results are in agreement with the measured values.Combining quantitative identification of lithofacies by prediction equation and qualitative identification of lithofacies by radar chart,shale lithofacies ofWufeng-Longmaxi Formation in Jiaoshiba area can be well identified through double constraints.
Keywords:shale  lithofacies identification  logging  radar chart  Wufeng-Longmaxi Formation  Jiaoshiba area
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