Estimating Organic-Rich Shale Fractal Dimensions from Gas Adsorption Isotherms: Combining Different Methods Leads to More Reliable Values and Insight

被引:12
|
作者
Wood, David A. [1 ]
机构
[1] DWA Energy Ltd, Lincoln, England
关键词
Fractal determination models; Whole isotherm analysis; D1 D2 fractal dimensions; Protocol for shale fractal estimation; Uncertainties in fractal values; DeltaS fractal metric; PORE STRUCTURE; SICHUAN BASIN; RESERVOIRS; ROUGHNESS; PROVINCE; BLOCK; AREA;
D O I
10.1007/s11053-021-09909-2
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Fabric and roughness of the pore-size distributions in organic-rich shales determine their fluid flow and storage capabilities. Accurate estimation of the pore-surface fractal dimension (D) provides valuable insight to these qualities in shales. Low-pressure gas adsorption isotherms are widely used for determining D, typically applying the Frenkel-Halsey-Hill (FHH) method. Other D estimation methods, proposed by Neimark (NM) and Wang and Li (WL), are theoretically consistent and mathematically related to the FHH model but yield distinctive D values for many shales. This study evaluates the mathematical relationships between the FHH, NM and WL fractal determination methods, and with the aid of twenty-six published adsorption isotherms from shales around the world, compares their similarities and differences. Uncertainties exist in establishing best-fit lines to curved data trends in the FHH and NM methods, and in fitting power curves to data trends in the NM and WL methods. The FHH and WL D values are found to be more consistent for whole isotherm and isotherm segment analysis than the NM D values, which are systematically higher. The reasons for this are explained in terms of their graphical relationships. This leads to a novel 10-step protocol for a more thorough determination of shale D values that incorporates all three methods and involves graphical analysis that clearly exposes the uncertainties associated with the values determined. Applying this protocol should derive reliable D values to compare with key shale properties such as surface area, surface volume, thermal maturity and organic richness in future research.
引用
收藏
页码:3551 / 3574
页数:24
相关论文
共 6 条
  • [1] Estimating Organic-Rich Shale Fractal Dimensions from Gas Adsorption Isotherms: Combining Different Methods Leads to More Reliable Values and Insight
    David A. Wood
    Natural Resources Research, 2021, 30 : 3551 - 3574
  • [2] Research On the Fractal Dimensions of the Organic-Rich Shale Pores Via Different Models
    Dai, Fangyao
    Journal of Physics: Conference Series, 2022, 2152 (01)
  • [3] Variations of Pore Structure in Organic-Rich Shales with Different Lithofacies from the Jiangdong Block, Fuling Shale Gas Field, SW China: Insights into Gas Storage and Pore Evolution
    Jia, Aoqi
    Hu, Dongfeng
    He, Sheng
    Guo, Xiaowen
    Hou, Yuguang
    Wang, Tao
    Yang, Rui
    ENERGY & FUELS, 2020, 34 (10) : 12457 - 12475
  • [4] Empirical plot of gas generation from oil-prone marine shales at different maturity stages and its application to assess gas preservation in organic-rich shale system
    Shao, Deyong
    Zhang, Tongwei
    Ko, Lucy T.
    Luo, Huan
    Zhang, Dongdong
    MARINE AND PETROLEUM GEOLOGY, 2019, 102 : 258 - 270
  • [5] Nano-scale pore structure and fractal dimension of organic-rich Wufeng-Longmaxi shale from Jiaoshiba area, Sichuan Basin: Investigations using FE-SEM, gas adsorption and helium pycnometry
    Yang, Rui
    He, Sheng
    Yi, Jizheng
    Hu, Qinhong
    MARINE AND PETROLEUM GEOLOGY, 2016, 70 : 27 - 45
  • [6] Nano-scale pore structure and fractal dimension of organic-rich Wufeng-Longmaxi shale from Jiaoshiba area, Sichuan Basin: Investigations using FE-SEM, gas adsorption and helium pycnometry (vol 70, pg 27, 2016)
    Yang, Rui
    He, Sheng
    Yi, Jizheng
    Hu, Qinhong
    MARINE AND PETROLEUM GEOLOGY, 2020, 114