Comprehensive Simulation Evaluation of the Effect of Slurry Injection in 13521 Mining Area of Gubei Coal Mine

2021 ◽  
Vol 09 (04) ◽  
pp. 334-341
Author(s):  
家峰 吴
Keyword(s):  
Coal Mine ◽  
Mining Area ◽  
Simulation Evaluation ◽  
Slurry Injection

Freezing Pressure and its Influencing Factors of Deep Clay Layer in the Huainan Mining Area

2012 ◽  
Vol 170-173 ◽  
pp. 836-841
Author(s):  
Wei Shao ◽  
Bin Lin
Keyword(s):  
Coal Mine ◽  
Good Description ◽  
Mining Area ◽  
Frost Heave ◽  
Dynamic Monitoring ◽  
Clay Layer ◽  
Formation Pressure ◽  
Closed Systems ◽  
Permanent Formation ◽  
Layer Deformation

Gu Bei coal mine deep shaft freezing pressure of calcareous clay dynamic monitoring showed that the freezing pressure of the calcareous clay fastest grow in the first 2 weeks after the sidewall concrete pouring , freezing pressure has obvious direction . Analysis showed that the layer of freezing pressure is mainly calcareous clay layer deformation pressure, size and the temperature of well has a positive correlation. Maximum freezing pressure of the deep calcareous clay layer approximate the permanent formation pressure values and the maximum frost heave force determined by the frost heave experiments in indoor closed systems ,the average freezing pressure with depth variation of the exponential function can be used to good description.

The Characteristics of Collapse Columns in Duanwang Minefield and their Influences on Gas Emission Quantities of Coal Faces

2013 ◽  
Vol 634-638 ◽  
pp. 3537-3540
Author(s):  
Xin Xian Zhai ◽  
Xiao Ju Li ◽  
Yan Wei Zhai
Keyword(s):  
Coal Mine ◽  
Production Capacity ◽  
Mining Area ◽  
Mine Safety ◽  
Shanxi Province ◽  
Free Form ◽  
Karst Collapse ◽  
Coal Face ◽  
Gas Emission ◽  
Mining Depth

Duanwang Coal Mine is located at north of Qinshui coalfield in Shanxi province, China, which gently inclined and thick seams have been mined. Authorized production capacity of the coal mine is 1.8Mt/a. With the increase of mining depth, the mine gas emission quantity increased. Karst collapse columns are very developed in the minefield, and the phenomenon of abnormal gas emission always occurred at the coal face and driving gateway around the collapse columns, then the mine became high gassy one from low gassy mine. Using field measurement and theoretical analysis methods, the following conclusion can be drawn. Karst collapse columns have significant influences on gas emission of the coal face and driving gateway. Here are large amount of free form gas into and around the collapse columns, the collapse columns were disclosure while driving gateway, a large amount of the free gas into collapse column would be instantly released, which caused abnormal gas emission at driving gateway, even leading to gas density exceeding limitation by Coal Mine Safety Regulation of China. However, during mining area of the collapse columns, gas emission quantity at coal face was relatively smaller.

scholarly journals Water level collapse effect of deep well in mining area

2021 ◽  
Vol 233 ◽  
pp. 03037
Author(s):  
LIN Mei ◽  
DONG Xiaona
Keyword(s):  
Water Level ◽  
Coal Mine ◽  
Earth Tide ◽  
Mining Area ◽  
Observation Data ◽  
Aquifer System ◽  
Deep Well ◽  
Original Curve ◽  
Level Data ◽  
Water Level Data

The use of Zaozhuang of Shandong province coal mine area is tao chong lu 15 Well and meteorological observation data, the three elements of observation Wells with tao chong effect comparing the dynamic characteristics of the mines. It is difficult to determine whether the stress state of the aquifer system in which the well was observed before the collapse has changed because of the water level in the deep well of Lu15 well on the original curve. Nakai fitting model is adopted to calculate the earth tide response amplitude factor ratio based on the water level data of Lu15 well, and the possibility of collapse caused by stress change is discussed in combination with non-natural seismic events in Taozhuang Coal mine

scholarly journals Characteristics of New Permanent Magnetic Eddy Current Drive System of the Scraper Conveyor

2021 ◽  
Author(s):  
shuang wang ◽  
Yongcun GUO ◽  
Deyong LI
Keyword(s):  
Eddy Current ◽  
Coal Mine ◽  
Mining Area ◽  
Current Drive ◽  
Drive System ◽  
Model Accuracy ◽  
Working Face ◽  
Scraper Conveyor ◽  
Mining Face ◽  
Motion Characteristics

Abstract This study provides a new permanent magnetic eddy current drive system to solve the ener-gy-saving drive problem of the scraper conveyor working under bad conditions, including overload startup, severe abrasion and pollution. Considering the practical conveying conditions of the scraper chain on a fully mechanised coal mining face, this study creates a mathematical model for the new permanent magnetic eddy current drive system of the scraper conveyor based on its characteristics and indicates the motion characteristics of the scraper chain driven by two wheels. This study verifies the model accuracy with a pre-startup technology depending on the scraper conveyor on the No. 12318 working face of the 8th coal mine in the West No. 1 mining area of the Pansan Coal Mine of the Huainan Mining Group. According to the results, the motion acceleration of the scraper chain based on the new permanent magnetic eddy current drive is lower than that of the scraper chain with a hydraulic coupler under the same running condition and load during startup and acceleration and declines by approximately 14.7%. Consequently, this can decline the startup impact due to the serious abrasion and frequent overload of the scraper chain working under bad conditions.

scholarly journals Prediction of the First Weighting from the Working Face Roof in a Coal Mine Based on a GA-BP Neural Network

2019 ◽  
Vol 9 (19) ◽  
pp. 4159
Author(s):  
Tan ◽  
Yang ◽  
Chang ◽  
Zhao
Keyword(s):  
Neural Network ◽  
Coal Mine ◽  
Bp Neural Network ◽  
Prediction Models ◽  
Initial Pressure ◽  
Mining Area ◽  
Mine Pressure ◽  
Mine Production ◽  
Production Safety ◽  
Matlab Programming

The accidents caused by roof pressure seriously restrict the improvement of mines and threaten production safety. At present, most coal mine pressure forecasting methods still rely on expert experience and engineering analogies. Artificial neural network prediction technology has been widely used in coal mines. This new approach can predict the surface pressure on the roof, which is of great significance in coal mine production safety. In this paper, the mining pressure mechanism of coal seam roofs is summarized and studied, and 60 sets of initial pressure data from multiple working surfaces in the Datong mining area are collected for gray correlation analysis. Finally, 12 parameters are selected as the input parameters of the model. Suitable back propagation (BP) and GA(genetic algorithm)-BP initial roof pressure prediction models are established for the Datong mining area and trained with MATLAB programming. By comparing the training results, we found that the optimized GA-BP model has a larger determination coefficient, smaller error, and greater stability. The research shows that the prediction method based on the GA-BP neural network model is relatively reliable and has broad engineering application prospects as an auxiliary decision-making tool for coal mine production safety.

The effects of replaced topsoil of different depths on the vegetation and soil properties of reclaimed coal mine spoils in an alpine mining area

2019 ◽  
Vol 65 (3-4) ◽  
pp. 92-105
Author(s):  
Xinguang Yang ◽  
Xilai Li ◽  
Mingming Shi ◽  
Liqun Jin ◽  
Huafang Sun
Keyword(s):  
Plant Growth ◽  
Soil Properties ◽  
Coal Mine ◽  
Growth Parameters ◽  
Soil Depth ◽  
Mining Area ◽  
Vegetation Coverage ◽  
Mine Spoils ◽  
Plant Soil ◽  
Different Depths

Replacement of topsoil to an appropriate depth is one of the key methods for ecological restoration. The objective of this study was to investigate the effects of topsoil replacement depth on vegetation and soil properties, and to identify the optimum soil depth for reclamation of coal mine spoils in a cold alpine mining area. We sowed 3 herbaceous species after coal mine spoil heaps were treated with topsoil to 3 depths (0, 20‒25, 40‒45 cm). The variations in vegetation community structure, plant growth, soil properties were measured at different replaced topsoil depths. The correlations between plant and soil properties were analyzed statistically. The results showed species richness, diversity and evenness were not significantly different among different depths of topsoil (P > 0.05). Vegetation coverage, density, height and aboveground biomass increased significantly (P < 0.05) with increasing topsoil depth. Soil properties did not change significantly with increasing topsoil depth (P > 0.05), but soil organic matter was significantly higher at 40‒45 cm topsoil depth than at other two depths (P < 0.05). All soil properties, with the exception of total potassium, were positively correlated with the plant growth parameters. The 40‒45 cm topsoil depth of replacement should be considered as effective method in reclaiming coal mine spoils. The use of both topsoil replacement to a depth of 40‒45 cm and sowing of suitable herbaceous seeds is found to be an effective restoration strategy. Additionally, fertilization might be used as a substitute for artificial topsoil replacement to improve soil quality and speed up revegetation process by the positive plant-soil interactions.

Geological Factors Analysis of Gas Unusual Area in Southwest of Shandong Province

2013 ◽  
Vol 734-737 ◽  
pp. 106-110
Author(s):  
Yan Ru Meng ◽  
Nan Jiang ◽  
Wen Feng Ning ◽  
Chong Qiu Zhong ◽  
Kun Peng Gao ◽  
...  
Keyword(s):  
Coal Mine ◽  
Theoretical Foundation ◽  
Mining Area ◽  
Shandong Province ◽  
Magma Intrusion ◽  
Factors Analysis ◽  
Geological Factors

Gas geological law in southwest of Shandong province was studied with theoretical foundation and method of gas geology in this paper. It finds that the area in southwest of Shandong province is mostly low gas mining area. But Fucun coal mine of Tengnan mining area, Sanhekou coal mine, Jinyuan coal mine, Tangkou coal mine of Jining mining area and Zhaoguan coal mine of Huanghebei mining area are all gas unusual area. Among them, Fucun coal mine, Sanhekou coal mine and Jinyuan coal mine appear high gas unusual which are mainly affected by magma intrusion, Tangkou and Zhaoguan coal mine form gas unusual area which are mainly affected by thickness of upper bedrock.

scholarly journals Remote Sensing Monitoring of Soil Moisture in the Daliuta Coal Mine Based on SPOT 5/6 and Worldview-2

2019 ◽  
Vol 11 (1) ◽  
pp. 866-876
Author(s):  
Ying Liu ◽  
Hui Yue
Keyword(s):  
Remote Sensing ◽  
Soil Moisture ◽  
Scale Effect ◽  
Coal Mine ◽  
Surface Soil ◽  
Underground Mining ◽  
Mining Area ◽  
Surface Soil Moisture ◽  
Temporal And Spatial ◽  
Spot 5

Abstract To understand the influence of underground mining disturbances on the shallow soil moisture in the Daliuta coal mine, remote sensing monitoring of the temporal and spatial evolution of surface soil moisture and the influence of mining on multi-source, multi-temporal and high spatial resolution remote sensing data were carried out. The scale effect of monitoring the soil moisture at different scales was analyzed using the Scaled Soil Moisture Monitor Index (S-SMMI). In this paper, SPOT 5/6 and Worldview-2 were used as the data source and mainly made up two aspects of the research: 1) based on the three SPOT data sets with the use of S-SMMI from different angles from the Daliuta mine from nearly three years of soil moisture temporal and spatial changes, the results show that the perturbation has a negative effect on the shallow soil moisture in the Daliuta coal mine, and average soil moisture of the mining area is smaller than the non-mining area, but the surface ecological construction has effectively improved the impact of the underground mining disturbance on the surface soil moisture. 2) the scale conversion of Worldview-2 data was carried out based on the resampling method. S-SMMI was used to analyze the scale effect of soil moisture monitoring at different scales. The results show that the difference between the soil moisture is only 0.0016 during the conversion process of 2 m-30 m.

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