Quantitative evaluation of CBM reservoir fracturing quality using logging data

Abstract

This paper presents a method for the quantitative evaluation of fracturing quality of coalbed methane (CBM) reservoirs using logging data, which will help optimize the reservoir fracturing layer. First, to make full use of logging and laboratory analysis data of coal cores, a method to determine the brittleness index of CBM reservoirs is deduced using coal industrial components. Second, this paper briefly introduces methodology to compute the horizontal principal stress difference coefficient of coal seams and the minimum horizontal principal stress difference of coal seams and roof and floor. Third, an evaluation model for the coal structure index is established using logging data, which fully considers the fracturing quality of CBM reservoirs affected by the coal structure. Fourth, the development degree of the coal reservoir is evaluated. The evaluation standard for fracturing quality of CBM reservoirs based on these five evaluation parameters is used for quantitative evaluation. The results show that the combination of methods proposed in this paper are effective. The results are consistent with the fracturing dynamic drainage. The coal seam with large brittleness index, large stress difference between the coal seam and roof and floor, small stress difference coefficient and high coal structure index has a strong fracturing quality.