Benchmark assessment of coal permeability models on the accuracy of permeability prediction

Fuel ◽  
2014 ◽  
Vol 132 ◽  
pp. 194-203 ◽  
Author(s):  
Yan Peng ◽  
Jishan Liu ◽  
Wancheng Zhu ◽  
Zhejun Pan ◽  
Luke Connell
2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Pinkun Guo ◽  
Yuanping Cheng

The coal permeability is an important parameter in mine methane control and coal bed methane (CBM) exploitation, which determines the practicability of methane extraction. Permeability prediction in deep coal seam plays a significant role in evaluating the practicability of CBM exploitation. The coal permeability depends on the coal fractures controlled by strata stress, gas pressure, and strata temperature which change with depth. The effect of the strata stress, gas pressure, and strata temperature on the coal (the coal matrix and fracture) under triaxial stress and strain conditions was studied. Then we got the change of coal porosity with strata stress, gas pressure, and strata temperature and established a coal permeability model under tri-axial stress and strain conditions. The permeability of the No. 3 coal seam of the Southern Qinshui Basin in China was predicted, which is consistent with that tested in the field. The effect of the sorption swelling on porosity (permeability) firstly increases rapidly and then slowly with the increase of depth. However, the effect of thermal expansion and effective stress compression on porosity (permeability) increases linearly with the increase of depth. The most effective way to improve the permeability in exploiting CBM or extracting methane is to reduce the effective stress.


SPE Journal ◽  
2013 ◽  
Vol 19 (03) ◽  
pp. 356-360 ◽  
Author(s):  
Wang Zhiming ◽  
Yang Gang ◽  
Zhang Jian

Summary This paper aims to investigate the effect of temperature and effective stress on coal permeability. Through the experiment, we find a reversal phenomenon in which the coal permeability presents different change trends as temperature increases at two sides of the reverse point. The term “critical effective stress” refers to the effective stress at the reverse point. When effective stress is lower than the critical effective stress, the outward expansion effect of the coal block caused by grain and gas swell is greater than compaction effect as temperature increases under low effective stress condition. Therefore, the coal expands primarily outward, which results in fissure opening and permeability increase. When effective stress is higher than the critical effective stress, high effective stress limits the coal's outward expansion. The coal expands inward with increasing temperature, thus causing fissure closure and permeability decrease. On the basis of dimension analysis and regression analysis, combined with experimental data, this paper develops a high-precision semitheoretical coal permeability model of Qinshui basin in China. Simultaneously, what this paper presents is a permeability prediction method: measuring coal core permeability and performing dimension analysis and regression analysis. With this work done, we can establish a similar permeability model suitable for other target zones. Thus, the analytical method presented in this paper provides a basis for coal permeability prediction.


2018 ◽  
Vol 9 (04) ◽  
pp. 20318-20344
Author(s):  
Dr. Felicia Sawyer ◽  
Dr. Bobbie Little ◽  
Dr. Darlene Cantey ◽  
Principal Lionel Martin

The purpose of this study is to analyze student progress after the frequent usage of a computerized reading program that provides phonics instruction and gives students independent practice in basic reading skills. Further, the study observes and analyzes the correlation between student progress in Lexia to progress report grades, report card grades, attendance, office referrals for poor behavior, the Fountas and Pinnell Benchmark Assessment System (BAS) scores, Kindergarten Readiness Assessment (KRA) language and social scores, and the Reading Inventory scores (RI).     


2016 ◽  
Vol 52 (3) ◽  
pp. 608-614 ◽  
Author(s):  
S. V. Serdyukov ◽  
T. V. Shilova ◽  
L. A. Rybalkin
Keyword(s):  

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