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Inversion of reservoir fluid mobility from frequency-dependent seismic data - A case study of gas-bearing reservoirs

机译:频率依赖地震数据储层流体迁移率的反演 - 以燃气储层为例

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摘要

Reservoir fluid mobility is by definition the ratio of rock permeability to fluid viscosity. This attribute can be applied to reservoir physical property and permeability evaluation. Thus far, the only means of obtaining the reservoir fluid mobility over a large range of exploration areas is based on the extraction method. However, the location of high fluid mobility obtained by the extraction method is close to the reservoir interface. To obtain fluid mobility in the middle of the reservoir, an approximate inversion method of reservoir fluid mobility from frequency-dependent seismic data is proposed. First, we have calculated the reservoir fluid mobility coefficient using well data according to the relationship of fluid parameters. Then, we establish an inversion equation based on the low-frequency reflection coefficient and the reservoir fluid mobility. Taking the reservoir fluid mobility coefficient calculated from well data as an a priori constraint, the low-frequency model is subsequently constructed and applied with the inversion equation to obtain an inversion objective function. Next, the inversion equation is solved by the basis pursuit algorithm. Finally, the proposed reservoir fluid mobility inversion method is applied to synthetic and real data of gas-bearing reservoirs. The real data processing results show that the proposed reservoir fluid mobility inversion method can estimate the fluid mobility in the actual position of the reservoir more effectively.
机译:None

著录项

  • 来源
    《Interpretation》 |2021年第1期|共12页
  • 作者单位

    Chengdu Univ Technol State Key Lab Oil &

    Gas Reservoir Geol &

    Exploita Chengdu 610059 Peoples R China;

    Chengdu Univ Technol State Key Lab Oil &

    Gas Reservoir Geol &

    Exploita Chengdu 610059 Peoples R China;

    Chengdu Univ Technol Coll Geophys Chengdu 610059 Peoples R China;

    Chengdu Univ Technol Coll Geophys Chengdu 610059 Peoples R China;

    Univ Alabama Dept Geol Sci Tuscaloosa AL 35487 USA;

    China Univ Petr Coll Geosci Beijing 102249 Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地球物理学;
  • 关键词

  • 入库时间 2022-08-20 17:58:30

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