李红岩, 高小荣, 任小庆, 孙彩霞, 卢星辰, 许勇. 雄安新区三维地热地质模型方法研究[J]. 地质与资源, 2024, 33(2): 222-229, 236. DOI: 10.13686/j.cnki.dzyzy.2024.02.011
    引用本文: 李红岩, 高小荣, 任小庆, 孙彩霞, 卢星辰, 许勇. 雄安新区三维地热地质模型方法研究[J]. 地质与资源, 2024, 33(2): 222-229, 236. DOI: 10.13686/j.cnki.dzyzy.2024.02.011
    LI Hong-yan, GAO Xiao-rong, REN Xiao-qing, SUN Cai-xia, LU Xing-chen, XU Yong. 3D GEOTHERMAL GEOLOGICAL MODELING METHOD OF XIONG'AN NEW AREA[J]. Geology and Resources, 2024, 33(2): 222-229, 236. DOI: 10.13686/j.cnki.dzyzy.2024.02.011
    Citation: LI Hong-yan, GAO Xiao-rong, REN Xiao-qing, SUN Cai-xia, LU Xing-chen, XU Yong. 3D GEOTHERMAL GEOLOGICAL MODELING METHOD OF XIONG'AN NEW AREA[J]. Geology and Resources, 2024, 33(2): 222-229, 236. DOI: 10.13686/j.cnki.dzyzy.2024.02.011

    雄安新区三维地热地质模型方法研究

    3D GEOTHERMAL GEOLOGICAL MODELING METHOD OF XIONG'AN NEW AREA

    • 摘要: 根据区域地质资料、钻井地层数据、测井资料, 分别对雄安新区构造进行网格化并建立构造模型, 应用层序地层学原理厘定等时界面及地层框架, 选取建模参数, 建立沉积相三维模型. 采用相控条件下的序贯高斯模拟算法, 建立孔隙度、渗透率模型. 根据实测, 得出区域内盖层、储层、基岩的岩石热导率, 并建立雾迷山组温度场模型. 最后采用物性参数展布对比、概率模型一致性、拟合三方面对地质模型进行验证, 结果表明, 此地质模型的孔隙度、渗透率概率分布特征与测井解释曲线数据和初始化数据基本一致, 说明该模型与地质认识吻合度超过90%, 所建地质模型合理.

       

      Abstract: The structure model of Xiong'an New Area is established by structural gridding on the basis of regional geology, drilling formation and well logging data. The principle of sequence stratigraphy is applied to determine isochronous interface and stratigraphic framework, and modeling parameters are selected to establish the 3D sedimentary facies model. The porosity and permeability models are established by facies-controlled sequential Gaussian simulation algorithm. The rock thermal conductivity of caprock, reservoir and bedrock in the region is obtained and the temperature field model of Wumishan Formation is established according to the actual measurement. The physical parameter distribution comparison, probability model consistency and fitting are finally used to verify the geological model. The results show that the probability distribution characteristics of porosity and permeability of this geological model are basically consistent with the log interpretation curve data and initialization data, indicating that consistency between the model and geological recognition is more than 90% thus the geological model is reasonable.

       

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