کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4921840 1429520 2017 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Reconstruction of different scales of pore-fractures network of coal reservoir and its permeability prediction with Monte Carlo method
ترجمه فارسی عنوان
بازسازی مقیاس های مختلف شبکه حفاری منافذ مخزن زغال و پیش بینی نفوذ پذیری آن با روش مونت کارلو
کلمات کلیدی
شبکه های شکسته مقیاس های مختلف بازسازی، نفوذپذیری،
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات زمین شناسی اقتصادی
چکیده انگلیسی

There are millimeter, micron and nanometer scales of pores and fractures in coal to describe different scales of coal pores and fissures communicating path and to quantitatively characterize their permeability. Such information provides an important basis for studying coalbed methane output mechanism. The pores and fissures in a large number of coal samples were observed and counted by scanning electron microscopy and optical microscopy. The probability distribution models of pore-fissure network were then established. Different scales of pore-fissures 2D network models were reconstructed by Monte Carlo method. The 2D seepage models were obtained through assignment zero method and using Matlab software. The effect of permeability on different scale pore-fractures network was obtained by two-dimensional seepage equation. Predicted permeability is compared with the measured ones. The results showed that the dominant order of different scale pore-fractures connected path from high to low is millimeter-sized fractures, seepage pores and micron-size fractures. The contribution of coal reservoir permeability from large to small is millimeter-size fractures, micron-size fractures and seepage pores. Different parameters in different scale pore-fractures are of different influence permeability. Reconstruction of different scale pore-fractures network can clearly display the connectivity of pore-fractures, which can provide a basis for selecting migration path and studying gas flow pattern.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: International Journal of Mining Science and Technology - Volume 27, Issue 4, July 2017, Pages 693-699
نویسندگان
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