Application of Treatment for Deep Hole Drilling Debris in Gas-Rich Soft Coal Seams

Niu, Yihui; Xu, Zhuo; Wang, Wenhe; Jing, Xiaofei; Mi, Hongfu; Zhang, Zhong

doi:10.1155/2023/8462731

Cited by 1 publication

(1 citation statement)

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“…Among them, the high-pressure mercury injection test has the advantages of being fast, convenient and low cost and is widely used in characterizing the pore structure parameters of coal reservoirs. On this basis, fractal theory is used to characterize pore and fracture distribution heterogeneity [15][16][17]. Xiao [18] used a high-pressure mercury injection test to conduct the fractal calculation of pore structure based on the mercury injection curve (MIC) and found that D M can reflect pore structure distributions.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneity of Pore and Fracture Structure in Coal Reservoirs by Using High-Pressure Mercury Intrusion and Removal Curve

Niu,

Li,

Yao

et al. 2023

Processes

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The pore structure determines the desorption, diffusion and migration of coalbed methane, and the heterogeneity of the pore structure seriously restricts the diffusion and seepage process and productivity of coalbed methane. Therefore, this paper takes eight coal samples in the Linxing area as the research target and uses the high-pressure mercury injection test to describe the pore structure distribution. On this basis, three kinds of single and multifractal models are used to calculate the progressive mercury removal curve, and the correlation analysis is carried out to determine the physical significance of the mercury removal fractal dimension. Finally, the relationship between the fractal dimension of the mercury curve and the pore structure parameters is defined, and the applicability of fractal models in characterizing pore structure heterogeneity is discussed. The conclusions of this paper are as follows. (1) Samples can be divided into two categories according to porosity and mercury removal efficiency. Among them, the mercury removal efficiency of sample 1–3 is higher than 35%, and porosity is less than 9.5%, while those of sample 4–8 are the opposite. The seepage pore volume percentage of sample 1–3 is 35–60%, which is higher than that in sample 4–8. (2) The difference of the samples’ fractal dimension calculated with the Menger and Sierpinski models is small, indicating that the pore structure distribution heterogeneity of the two types is similar. The multifractal model shows that the adsorption pore and macro-pore heterogeneity of sample 4–8 are stronger than those of sample 1–3, and the pore distribution heterogeneity is controlled by the low value of pore volume. (3) The results of the two single fractal calculations show that the pore structure distribution heterogeneity of sample 4–8 is stronger than that of sample 1–3. The multifractal model calculation shows that the adsorption pore distribution heterogeneity of sample 4–8 is stronger, and the low value of pore volume controls the pore distribution heterogeneity. (4) The mercury fractals based on the Menger model can reflect the adsorption pore distribution and macro-pore distribution heterogeneity, while the Sierpinski model can only reflect the adsorption pore distribution heterogeneity at the mercury inlet stage.

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Section: Introductionmentioning

confidence: 99%