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Article Navigation >  PETROLEUM GEOLOGY & EXPERIMENT  > 2019  >  41(6): 879-884
WANG Baohua, LI Hao, LU Jianlin, LÜ Jianhong, WANG Miao, ZHAO Linjie. Quantitative characterization of development of permeable interlayers in continental shale strata[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2019, 41(6): 879-884. doi: 10.11781/sysydz201906879
Citation: WANG Baohua, LI Hao, LU Jianlin, LÜ Jianhong, WANG Miao, ZHAO Linjie. Quantitative characterization of development of permeable interlayers in continental shale strata[J]. PETROLEUM GEOLOGY & EXPERIMENT, 2019, 41(6): 879-884. doi: 10.11781/sysydz201906879
shu

Quantitative characterization of development of permeable interlayers in continental shale strata

doi: 10.11781/sysydz201906879

  • Wuxi Research Institute of Petroleum Geology, SINOPEC, Wuxi, Jiangsu 214126, China

  • Received Date: 2019-03-13
  • Rev Recd Date: 2019-07-25
  • Publish Date: 2019-11-28
    Abstract
  • Exploration practice shows that the development of sandstone interlayers or carbonate interlayers in organic-rich shale intervals is one of the key factors for shale oil enrichment and high yield. At present, there is no quantitative evaluation model or method for the development degree of these interlayers. The quantitative evaluation model of relative hypertonic interlayers in shale is established. It is of great significance to improve the quantitative evaluation process. A mathematical model for characterizing the development of the interlayers is established by using the position and dispersion of interlayers in a formation. Based on seismic inversion data, three-dimensional structural modeling and drilling data of the lithology properties of the formation, the virtual/actual drilling lithology data is used as the calculation unit, and the sandstone thin interlayer index (STI) is used as the constraint value. The developmental strength (DS), distribution position (DP) and dispersion coefficient (DC) of the well were calculated. Then, the STI is calculated by normalization, and the main source direction is determined by the results of sedimentary facies research. The STI plane distribution of the target layer is calculated by Kriging interpolation. Using the above method, the STI of the upper part of the Shahejie Formation in the Dongying Sag was calculated. Compared with the existing drilling test results, the STI of the high-yield well is mainly between 0.4 and 0.8, indicating that the STI distribution range has a guiding significance for shale oil exploration.

     

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    Created with Highcharts 5.0.7Chart context menuAccess Area Distribution其他: 2.8 %其他: 2.8 %China: 0.2 %China: 0.2 %India: 0.1 %India: 0.1 %Malvern: 0.1 %Malvern: 0.1 %[]: 0.1 %[]: 0.1 %三门峡: 0.1 %三门峡: 0.1 %上海: 0.3 %上海: 0.3 %东营: 0.1 %东营: 0.1 %临汾: 0.1 %临汾: 0.1 %丽水: 1.0 %丽水: 1.0 %北京: 2.2 %北京: 2.2 %南宁: 0.6 %南宁: 0.6 %南昌: 0.3 %南昌: 0.3 %印度德里: 0.3 %印度德里: 0.3 %台州: 9.0 %台州: 9.0 %哥伦布: 0.3 %哥伦布: 0.3 %大庆: 0.2 %大庆: 0.2 %天津: 0.5 %天津: 0.5 %平顶山: 0.3 %平顶山: 0.3 %弗吉尼亚州: 0.3 %弗吉尼亚州: 0.3 %张家口: 2.7 %张家口: 2.7 %徐州: 0.3 %徐州: 0.3 %成都: 0.9 %成都: 0.9 %无锡: 0.3 %无锡: 0.3 %昆明: 0.3 %昆明: 0.3 %晋城: 0.1 %晋城: 0.1 %朝阳: 0.1 %朝阳: 0.1 %杭州: 3.8 %杭州: 3.8 %武汉: 0.5 %武汉: 0.5 %沈阳: 0.2 %沈阳: 0.2 %河池: 0.3 %河池: 0.3 %济南: 0.3 %济南: 0.3 %温州: 0.1 %温州: 0.1 %湖州: 4.1 %湖州: 4.1 %湘潭: 0.1 %湘潭: 0.1 %湛江: 0.2 %湛江: 0.2 %漯河: 0.4 %漯河: 0.4 %漳州: 0.3 %漳州: 0.3 %珠海: 0.3 %珠海: 0.3 %百色: 0.3 %百色: 0.3 %盘锦: 0.3 %盘锦: 0.3 %绍兴: 0.1 %绍兴: 0.1 %芒廷维尤: 22.9 %芒廷维尤: 22.9 %莫斯科: 0.7 %莫斯科: 0.7 %衡水: 0.2 %衡水: 0.2 %衢州: 3.9 %衢州: 3.9 %襄阳: 0.2 %襄阳: 0.2 %西宁: 32.3 %西宁: 32.3 %辽阳: 0.1 %辽阳: 0.1 %运城: 1.0 %运城: 1.0 %遵义: 0.1 %遵义: 0.1 %邯郸: 0.2 %邯郸: 0.2 %郑州: 0.2 %郑州: 0.2 %重庆: 0.1 %重庆: 0.1 %金华: 1.2 %金华: 1.2 %锦州: 0.2 %锦州: 0.2 %长沙: 0.2 %长沙: 0.2 %长治: 0.1 %长治: 0.1 %阿什本: 0.6 %阿什本: 0.6 %首尔: 0.3 %首尔: 0.3 %马鞍山: 0.5 %马鞍山: 0.5 %鹰潭: 0.1 %鹰潭: 0.1 %黔南: 0.1 %黔南: 0.1 %龙岩: 0.3 %龙岩: 0.3 %其他ChinaIndiaMalvern[]三门峡上海东营临汾丽水北京南宁南昌印度德里台州哥伦布大庆天津平顶山弗吉尼亚州张家口徐州成都无锡昆明晋城朝阳杭州武汉沈阳河池济南温州湖州湘潭湛江漯河漳州珠海百色盘锦绍兴芒廷维尤莫斯科衡水衢州襄阳西宁辽阳运城遵义邯郸郑州重庆金华锦州长沙长治阿什本首尔马鞍山鹰潭黔南龙岩

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      沈阳化工大学材料科学与工程学院 沈阳 110142

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