4.7 Article

A quantification method for shale fracability based on analytic hierarchy process

期刊

ENERGY
卷 115, 期 -, 页码 637-645

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.energy.2016.09.035

关键词

Shale fracability; Quantification method; Influencing factors; Analytical hierarchy process (AHP); Experimental measurement; Fractal description

资金

  1. National Natural Science Foundation of China [51374213]
  2. National Natural Science Funds for Distinguished Young Scholars of China [51125017]
  3. Creative Research Group Program of Jiangsu Province [2014-27]
  4. North China Institute of Science and Technology Key Discipline Construction Funds [HKXJZD201402]
  5. Hebei College Scientific Research Project [z2014032]

向作者/读者索取更多资源

A quantification method for evaluation of the fracability of shale is essential for optimizing hydraulic fracturing of shale gas reservoirs and enhancing shale gas recovery. To quantitatively evaluate the fracability, seven sets of shale cores are drilled from the reservoirs at different depths of an oilfield in the east of China. The influences of six fracability-related mechanical and physical characteristics of shale, i.e. brittleness, brittle mineral content, clay mineral content, cohesion, angle of internal friction, and unconfined compressive strength, are analyzed. A mathematical model taking account of significance of the influencing factors is proposed based on analytic hierarchy process (AHP) to evaluate the fracability according to their different effects on shale fracability. The analysis indicates that the fracability decreases with the increase of reservoir depths. The hydraulic fracturing tests of the shale cores are conducted to verify the accuracy of the quantification method. The fractal geometry is used to characterize the fracture degree of the shale. It is shown that a larger fractal dimension of the fracture network corresponds to a better fracability of shale. The more complex the fractures are, the larger the fracability of shale is. The experimental data coincide with the results of the proposed evaluation model. (C) 2016 Elsevier Ltd. All rights reserved.

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