کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5485055 | 1522998 | 2017 | 15 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Numerical assessment of the influences of coal permeability and gas pressure inhomogeneous distributions on gas drainage optimization
ترجمه فارسی عنوان
ارزیابی عددی اثر نفوذپذیری زغال سنگ و توزیع های نامتغیر فشار گاز بر بهینه سازی زهکشی
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کلمات کلیدی
زهکشی گاز ناهماهنگی نجات دهنده، مهاجرت گاز شبیه سازی عددی، تشخیص تصویر،
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
علوم زمین و سیاره ای (عمومی)
چکیده انگلیسی
In this paper, significant effort was devoted to theoretical/numerical modeling to make an optimal gas drainage design for a pre-drainage coal seam considering the inhomogeneity of coal permeability and gas pressure. A fully coupled model of gas flow, gas diffusion and permeability evolution was developed to evaluate the borehole drainage performances of safety needs (primary consideration) and economic efficiency (secondary consideration). A novel method was applied to rebuilt the non-uniform initial condition in COMSOL to realize the inhomogeneous distribution of coal permeability and gas pressure in the numerical simulations. The significant influences of the inhomogeneity of coal permeability and gas pressure on gas drainage were discussed, and two main disadvantages were visually revealed, including unnecessary engineering cost and enormous mining risk. The optimal gas drainage design consists of three different borehole spacings available for 6 zones, being able to save about 21.5% engineering cost compared to that without considering the reservior inhomogeneity. Numerical simulation results are also helpful to the gas drainage technological innovations.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Natural Gas Science and Engineering - Volume 45, September 2017, Pages 797-811
Journal: Journal of Natural Gas Science and Engineering - Volume 45, September 2017, Pages 797-811
نویسندگان
Qingquan Liu, Yuanping Cheng, Haifeng Wang, Shengli Kong, Jun Dong, Mingyi Chen, Hao Zhang,