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    松辽盆地青山口组页岩有机碳含量分布特征

    武田田 商斐 陈睿倩 钟志

    武田田, 商斐, 陈睿倩, 钟志, 2022. 松辽盆地青山口组页岩有机碳含量分布特征. 地球科学, 47(11): 4309-4318. doi: 10.3799/dqkx.2022.337
    引用本文: 武田田, 商斐, 陈睿倩, 钟志, 2022. 松辽盆地青山口组页岩有机碳含量分布特征. 地球科学, 47(11): 4309-4318. doi: 10.3799/dqkx.2022.337
    Wu Tiantian, Shang Fei, Chen Ruiqian, Zhong Zhi, 2022. Organic Carbon Distribution Characteristics of Qingshankou Shale in Songliao Basin, China. Earth Science, 47(11): 4309-4318. doi: 10.3799/dqkx.2022.337
    Citation: Wu Tiantian, Shang Fei, Chen Ruiqian, Zhong Zhi, 2022. Organic Carbon Distribution Characteristics of Qingshankou Shale in Songliao Basin, China. Earth Science, 47(11): 4309-4318. doi: 10.3799/dqkx.2022.337

    松辽盆地青山口组页岩有机碳含量分布特征

    doi: 10.3799/dqkx.2022.337
    基金项目: 

    湖北省自然科学基金青年基金项目 2020CFB480

    详细信息
      作者简介:

      武田田(1997-),女,硕士研究生,研究方向为非常规油气储层表征. ORCID:0000-0002-9644-5287. E-mail:wtiantian2016@cug.edu.cn

      通讯作者:

      钟志, ORCID: 0000-0002-8730-5530. E-mail:zhongzhi@cug.edu.cn

    • 中图分类号: P618

    Organic Carbon Distribution Characteristics of Qingshankou Shale in Songliao Basin, China

    • 摘要: 总有机碳(TOC)含量是页岩油气资源量评价的关键参数之一.为定量分析松辽盆地青山口组页岩TOC含量分布特征,预测有利勘探区,以测井资料为基础,首先建立研究区构造模型,应用恢复古埋深法计算镜质体反射率(Ro),通过∆logR方法预测研究区TOC含量,最后利用地质统计学方法建立了研究区页岩TOC三维量化模型.结果表明,纵向上,青一段页岩TOC含量整体分布在0%~4%范围,青二段和青三段TOC含量明显低于青一段.平面上,青一段TOC含量在三肇凹陷南部及朝阳沟阶地中部最高,青二段TOC含量整体低于2%,其在古龙凹陷北部最高,青三段TOC含量普遍低于1.4%.研究成果为松辽盆地页岩油勘探开发有利区选取提供了重要指导和参考.

       

    • 图  1  松辽盆地平面图(a)与地层层序图(b)

      a.红色线区域为主要研究区;b.青山口组为主要研究层位;据高翔等,2017李敏等,2019蒙启安等,2021Ye et al.,2022修改

      Fig.  1.  Map (a) and stratigraphic sequence (b) of Songliao basin

      图  2  松辽盆地青山口组测井曲线特征

      Fig.  2.  Typical wireline-logs of Qingshankou Formation in Songliao basin

      图  3  松辽盆地古龙凹陷、齐家凹陷、大庆长垣、三肇凹陷、朝阳沟阶地的镜质体反射率与埋深交汇图

      Fig.  3.  Relationship between Ro and depth of Gulong sag, Qijia sag, Daqing placanticline, Sanzhao sag and Chaoyanggou terrace in Songliao basin

      图  4  镜质体反射率Ro与有机质成熟度LOM关系图(据Crain, 2010改

      Fig.  4.  Relationship between vitrinite reflectance (Ro) and level of maturity (LOM)

      图  5  W4井TOC实测与预测数据对比

      Fig.  5.  Comparison of measured and predicted TOC data in W4

      图  6  研究区三维构造模型

      Fig.  6.  3D structural model of the study area

      图  7  青山口组TOC含量属性模型(a)、青山口组顶面深度等值线图及剖面位置(b)、A-A’、B-B’、B-CB-D剖面的TOC含量分布特征(c)

      Fig.  7.  3D TOC content model of Qingshankou Formation (a), contour map of the Qingshankou Formation and profile location (b) and TOC content distribution corresponding to profiles A-A', B-B', B-C and B-D (c)

      图  8  松辽盆地青山口组各段TOC含量平面分布特征

      Fig.  8.  Average TOC content contour maps of each member of the Qingshankou Formation in the study area

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