Lithologic Reservoirs ›› 2019, Vol. 31 ›› Issue (2): 66-74.doi: 10.12108/yxyqc.20190208

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Linear relationship between mineral content and porosity of Chang 6 reservoir in Jiyuan area,Ordos Basin

LI Xiaoyan1,2,3, QIAO Huawei4, ZHANG Jiankui5, MA Junjie4, YAN Jiangtao4, LI Shutong2   

  1. 1. Lanzhou Literature and Information Center, Chinese Academy of Sciences;Northwest Institute of Eco-Environment and Rsources, Chinese Academy of Sciences, Lanzhou 730000, China;
    2. Key Laboratory of Petroleum Resources, Gansu Province/Key Laboratory of Petroleum Resources Research, Institute of Geology and Geophysics, Chinese Academy of Sciences, Lanzhou 730000, China;
    3. University of Chinese Academy of Sciences, Beijing 100049, China;
    4. No.3 Oil Production Plant of PetroChina Changqing Oilfield Company, Yinchuan 710065, China;
    5. No.5 Oil Production Plant of PetroChina Changqing Oilfield Company, Xi'an 710020, China
  • Received:2018-10-11 Revised:2018-12-11 Online:2019-03-21 Published:2019-03-21

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Abstract: Mineral content is one of the important factors affecting the physical properties of reservoir. In order to comprehensively analyze the influences of contents of different types of minerals on reservoir porosity,taking Chang 6 sandstone reservoir in Jiyuan area of Ordos Basin as an example,the regression model between mineral content (xi) and porosity (y) was established by multiple stepwise linear regression method:y=21.131-0.086 x2-0.113 x3-0.554 x4-0.370 x5-0.199 x6-0.659 x7-0.465 x8, with the quartz content (x1), feldspar content (x2),lithic content (x3),chlorite content (x4),illite content (x5),kaolinite content (x6),siliceous content (x7) and ferrocalcite content (x8) and porosity (y). The results show that the contents of chlorite,illite,siliceous and ferrocalcite have great effects on the porosity of Chang 6 reservoir, the contents of feldspar, lithic and kaolinite have little effect on the porosity,while the quartz content has almost no effect on porosity. The test of multiple regression model shows that there is a good fit between measured porosity and model porosity,and multiple stepwise regression analysis has some advantages in the study of multifactor affecting reservoir physical properties,and it can reveal the essence of influencing reservoir physical properties better than single factor analysis.

Key words: multiple linear regression, mineral content, porosity prediction, regression model, Ordos Basin

CLC Number: 

  • TE122.1
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