Estimation of burnt coal seam thickness in central Borneo using JERS-1 SAR data

2003 ◽  
Vol 24 (4) ◽  
pp. 879-884 ◽  
Author(s):  
J. Tetuko S. S. ◽  
R. Tateishi ◽  
N. Takeuchi
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Zengfu Yang ◽  
Zengcai Wang ◽  
Ming Yan

The technology of coal-rock interface recognition is the core of realizing the automatic heightening technology of shearer’s rocker. Only by accurately and quickly identifying the interface of coal and rock can we realize the fully automatic control of shearer. As the only one used in the actual detection of coal mining machine drum cutting coal seam after the thickness of the remaining coal seam detection method, natural γ-ray has a very practical advantage. Based on the relationship between the attenuation of the natural γ-ray passing through the coal seam and the thickness of the coal seam, the mathematical model of the attenuation of the natural γ-ray penetrating coal seam is established. By comparing the attenuation intensity of γ-ray with or without brackets, it is verified that the hydraulic girders will absorb some natural γ-rays. Finally, this paper uses the ground simulation experiment and the field experiment to verify the correctness of the mathematical model and finally develop the natural γ-ray seam thickness sensor. The sensor has the function of indicating the thickness of the coal seam, measuring the natural γ-ray intensity, and storing and processing the data.


2019 ◽  
Vol 67 (3) ◽  
pp. 825-836 ◽  
Author(s):  
Mengbo Zhu ◽  
Jianyuan Cheng ◽  
Weixiong Cui ◽  
Hui Yue

2011 ◽  
Vol 138-139 ◽  
pp. 492-497
Author(s):  
Chong Hui Suo ◽  
Suo Liang Chang ◽  
Shi Mi Peng ◽  
Ru Tai Duan

Seismic wave contain more information about the sediments. The seismic attributes has some relationship with the coal seam thickness. Through analysis of the wedge-shaped coal seam’s seismic attributes, when the seam thickness is less than the tuning thickness, there is proportional relationship between the amplitude value and seam thickness; while the apparent time difference between the wave peak and trough is not sensitive. When the coal seam thickness is above the tuning thickness, the conclusion is opposite. As a result, it’s difficult to predict the coal seam thickness only by using one single attribute. Therefore, we use the nonlinear-regression method to analyze the relationship between the seam thickness and both attributes, and get a method to predict the coal seam thickness. With the method we predict the coal seam thickness in a coal mine and get a perfect result.


2016 ◽  
Vol 9 (1) ◽  
pp. 324-324
Author(s):  
Wang Bo ◽  
Zhang Xiayang ◽  
Liu Shengdong ◽  
Lu Tuo ◽  
Chen Mulan

2017 ◽  
Author(s):  
Zhongbin Tian ◽  
Jianqing Wang ◽  
Xiaodong Yang ◽  
Youyi Shen

2013 ◽  
Vol 734-737 ◽  
pp. 1157-1160
Author(s):  
Shi Hui Wang ◽  
Cheng Wu Xu ◽  
Bao De Tan ◽  
You Zhi Wang ◽  
Jia Li

The northeast part of China has rich coal resources and many coal basins. It has good prospects for CBM exploration. By drilling data analysis, this article evaluates coal seam characteristics and predicts seam thickness and spatial distribution of Chengzhihe formation. Jixi Basin has wide coal distribution, high seam gas content, good capping conditions, through a comprehensive analysis of factors such as coal seam thickness, depth and degree of metamorphism. the south of Jixi Basin is a key exploration area for CBM exploration and development in the northeast part of China.


2017 ◽  
Vol 35 (5) ◽  
pp. 579-590
Author(s):  
Wen Yang ◽  
Sherong Hu ◽  
Shimin Ma ◽  
Mingxuan Zhou ◽  
Xinzhi Yu ◽  
...  

2018 ◽  
Vol 66 (5) ◽  
pp. 1001-1009 ◽  
Author(s):  
Ze’an Hu ◽  
Pingsong Zhang ◽  
Guangquan Xu

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