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    普光地区碳酸盐岩储层孔隙类型测井识别及孔渗关系

    张翔 张伟 靳秀菊 刘红磊 姜贻伟 毕建霞

    张翔, 张伟, 靳秀菊, 刘红磊, 姜贻伟, 毕建霞, 2016. 普光地区碳酸盐岩储层孔隙类型测井识别及孔渗关系. 地球科学, 41(12): 2119-2126. doi: 10.3799/dqkx.2016.147
    引用本文: 张翔, 张伟, 靳秀菊, 刘红磊, 姜贻伟, 毕建霞, 2016. 普光地区碳酸盐岩储层孔隙类型测井识别及孔渗关系. 地球科学, 41(12): 2119-2126. doi: 10.3799/dqkx.2016.147
    Zhang Xiang, Zhang Wei, Jin Xiuju, Liu Honglei, Jiang Yiwei, Bi Jianxia, 2016. Identification of Pore Types and Study of Poroperm Relationships Based on Logging Data in Puguang Carbonate Reservoir. Earth Science, 41(12): 2119-2126. doi: 10.3799/dqkx.2016.147
    Citation: Zhang Xiang, Zhang Wei, Jin Xiuju, Liu Honglei, Jiang Yiwei, Bi Jianxia, 2016. Identification of Pore Types and Study of Poroperm Relationships Based on Logging Data in Puguang Carbonate Reservoir. Earth Science, 41(12): 2119-2126. doi: 10.3799/dqkx.2016.147

    普光地区碳酸盐岩储层孔隙类型测井识别及孔渗关系

    doi: 10.3799/dqkx.2016.147
    基金项目: 

    国家科技重大专项 2011ZX05017-001-HZ01

    中国石油集团公司“十二五”《测井前沿技术与应用基础研究》 2014A-3911

    湖北省教育厅科学技术研究重点项目 D20121201

    国家自然科学基金项目 41374148

    详细信息
      作者简介:

      张翔(1969-),教授,主要从事成像测井、碳酸盐岩储层评价与地球物理信息处理的研究工作.E-mail: zx_jr_xl@163.com

    • 中图分类号: P548

    Identification of Pore Types and Study of Poroperm Relationships Based on Logging Data in Puguang Carbonate Reservoir

    • 摘要: 普光地区长兴组和飞仙关组碳酸盐岩储层孔隙度与渗透率之间没有严格通用的数学关系,导致储层渗透率计算具有很大困难.通过对该地区测井资料、常规薄片、铸体薄片和岩心物性等资料进行分析,表明碳酸盐岩孔隙类型是影响孔渗关系的主要因素.基于常规测井资料构造出对孔隙结构比较敏感的测井特征:声波时差与密度比值和深浅侧向电阻率比值,可用于对该地区碳酸盐岩孔隙类型进行识别,再针对不同的孔隙类型建立相应的孔渗关系模型,用于计算该地区储层渗透率.实例资料处理结果表明,模型计算渗透率与岩心分析渗透率符合较好,且井间规律具有一致性,基于孔隙结构建立的储层孔隙度与渗透率模型能较好地确定储层渗透率.

       

    • 图  1  研究区碳酸盐岩不同的孔隙类型

      Fig.  1.  Different pore types in carbonate rocks

      图  2  研究区不同孔隙类型所占比例

      Fig.  2.  The proportion of different pore types

      图  3  研究区碳酸盐岩孔渗关系

      Fig.  3.  Relationship between porosity and permeability

      图  4  不同储层孔隙类型对应的孔渗关系

      Fig.  4.  Relationship between porosity and permeability corresponding to different pore types

      图  5  常规测井特征识别孔隙结构类型

      1 ft=30.48 cm

      Fig.  5.  Identification of pore types based on conventional logging

      图  6  应用实例1

      Fig.  6.  Application example 1

      图  7  应用实例2

      Fig.  7.  Application example 2

      表  1  不同储层孔隙类型的孔渗关系模型

      Table  1.   Model of porosity and permeability corresponding to different pore types

      孔隙类型 孔渗关系模型 拟合模型点数 拟合模型相关系数
      粒内孔 lnK=0.105 0·POR-3.241 6 220 0.702 3
      粒间孔(孔隙度<12%) lnK=0.800 2·POR-4.756 0 553 0.651 8
      粒间孔(孔隙度>12%) lnK=0.520 9·POR-1.216 0 99 0.625 5
      混合孔 lnK=0.138 4·POR-0.672 4 236 0.322 3
      裂缝 lnK=3.928 8·POR-9.845 2 53 0.588 1
      注:K表示渗透率;POR表示孔隙度.
      下载: 导出CSV

      表  2  不同的孔隙类型综合评价

      Table  2.   Comprehensive evaluation of different pore types

      孔隙类型 常规测井识别 孔隙结构及储集性能 孔渗关系模型 拟合模型相关系数
      粒内孔 AC/DEN:19~29
      LLD/LLS:1~5
      鲕粒粒内溶孔非常发育,粒间孔不发育,溶蚀作用强,高孔低渗,连通性很差 lnK=0.105 0·POR-3.241 6 0.702 3
      粒间孔
      (孔隙度<12%)
      AC/DEN:16~19
      LLD/LLS:2~20
      砂屑粒间孔、晶间孔及晶间溶蚀扩大孔比较发育,溶蚀作用较强,较低孔、高渗,连通性较好 lnK=0.800 2·POR-4.756 0 0.651 8
      粒间孔
      (孔隙度>12%)
      AC/DEN:19~25
      LLD/LLS:20~60
      砂屑粒间孔、晶间孔及晶间溶蚀扩大孔非常发育,溶蚀作用很强,高孔高渗,连通性非常好 lnK=0.520 9·POR-1.216 0 0.625 5
      混合孔 AC/DEN:19~27
      LLD/LLS:5~11
      粒间孔和粒内孔同时发育,渗透性及连通性介于粒间孔和粒内孔之间 lnK=0.138 4·POR-0.672 4 0.322 3
      下载: 导出CSV
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