Study on Weijiadi coal mine geological structure characteristics and gas occurrence regularity

2014 ◽  
pp. 1079-1082
Author(s):  
Sihua Shao ◽  
Jufeng Zhang
Keyword(s):  
Coal Mine ◽  
Geological Structure ◽  
Structure Characteristics ◽  
Gas Occurrence ◽  
Occurrence Regularity

scholarly journals Investigation on coal seam distribution and gas occurrence law in Guizhou, China

2018 ◽  
Vol 36 (5) ◽  
pp. 1310-1334 ◽  
Author(s):  
Qingsong Li ◽  
Xin He ◽  
Jiahao Wu ◽  
Shu Ma
Keyword(s):  
Coal Seam ◽  
Coal Mine ◽  
Sedimentary Environment ◽  
Influence Factors ◽  
Preventive Treatment ◽  
Geological Structure ◽  
Mine Safety ◽  
Gas Content ◽  
Gas Occurrence ◽  
Safety Production

In order to enhance the management level of coal mine safety production and promote the “safe, accurate and efficient” preventive treatments for gas in Guizhou of China, the occurrence and other prominent features of coal and gas are investigated. The characteristics and regularities of coal mine accidents in Guizhou during 2001–2015 are summarized to analyze the commonness of gas accidents in general and determine the characteristics of gas preventive treatment. Geological data, gas basic parameters, and physical properties of coal of 386 mines and 761 sets of coal seams in Guizhou are also statistically analyzed. Based on step control theory of gas occurrence structure and the regionally tectonic regularity of coal-bearing stratum distribution, the deformations of coal measures in Guizhou mine area are mainly caused by great variation of stratigraphic occurrence, complicated geological structure, and high crustal stress. The regional occurrence of coal seam is obvious with the highest content of Tongzi–Zunyi–Liuzhi–Xingyi line, which gradually reduces to the both east and west sides. Influence factors and weights of gas occurrence are expounded from geological and coal factor by mathematical statistics, and the main influence factors of gas occurrence are the sedimentary environment, syncline structure, and metamorphic grade in proper sequence. Combined with the risk prediction of coal and gas outburst area, the prediction of gas pressure by gas content is not suitable under the special occurrence conditions. The initial velocity of gas emission, the solidity coefficient, and the damage type in more than 77% of minable seams all exceed the critical value. This work provides guidance in improvement of the governance situation for gas control in Guizhou. The index prediction system which is suitable for mining conditions of special coal mines in Guizhou should be established.

scholarly journals A research on the influence of geological factors to gas discharge from No.8 un-mined solid coal seam of Baode Coal Mine

2021 ◽  
Vol 284 ◽  
pp. 01016
Author(s):  
Yinghua Lv ◽  
Shi Gang An ◽  
Wen Xu Liang ◽  
Dian Fu Chen ◽  
Wei Fu
Keyword(s):  
Coal Seam ◽  
Coal Mine ◽  
Research Result ◽  
Geological Structure ◽  
Relational Model ◽  
Gas Content ◽  
Solid Coal ◽  
Gas Occurrence ◽  
Geological Factors ◽  
Grey Relational

Mining is gradually progressed toward the in-depth area of No.8 solid coal seam in No.3 panel of Baode Coal Mine. In order to secure safe mining in this area, a systematic analysis is conducted on the geological factors that influence gas occurrence. Based on the basic data actually measured at site, grey relational analysis (GRA) is adopted for predictive analysis of influencing factors (depth, coal seam thickness, metamorphic grade, sand to mud ratio of roof, sand to mud ratio of floor, geological structure and washout), followed by establishment of a grey relational model. Then, the relation degree among factors is calculated, thus identifying the main controlling factors of gas occurrence. The research result suggests: the main geological factors that influence gas occurrence in No.8 coal seam are geological structure and washout. A model equation is established for prediction of gas content using multiple regression method: y=3.2429+0.0047X1+0.0079X2-0.0180X3+0.0016X4-0.0215X5+0.4641X6+0.2001X7. This equation demonstrates high degree of fitting.

The Hydrogeological Feature and Geological Hazard Prevention of M Coal Mine in Xinjiang Fukang

2013 ◽  
Vol 405-408 ◽  
pp. 562-565
Author(s):  
Chun Hui Yao ◽  
Qiu Hui Yao
Keyword(s):  
Coal Mine ◽  
Junggar Basin ◽  
Geological Structure ◽  
Geological Hazard ◽  
Geological Hazards ◽  
Hilly Terrain ◽  
Mine Area ◽  
Brittle Rocks ◽  
Mountain Front ◽  
Medium Type

M coal mine is located in the hilly terrain of mountain front in the southern margin of Junggar Basin in Fukang. The geological structure belongs to a medium type in the mine area where there are surface faults (two larger faults) and structural developments. The stratigraphic dips of south limb of Fukang syncline and southern Fukang anticline are large while that near F5 fault of anticline axis are larger and even upright. Brittle rocks develop fractures. In consideration of meteorology, earthquakes and other factors, mining may lead to such geological hazards as eboulement and surface subsidence, which should be highlighted.

scholarly journals Multistage identification method for real-time abnormal events of streaming data

2019 ◽  
Vol 15 (12) ◽  
pp. 155014771989454
Author(s):  
Hao Luo ◽  
Kexin Sun ◽  
Junlu Wang ◽  
Chengfeng Liu ◽  
Linlin Ding ◽  
...  
Keyword(s):  
Real Time ◽  
Coal Mine ◽  
Early Warning ◽  
Sliding Window ◽  
Geological Structure ◽  
Streaming Data ◽  
Event Monitoring ◽  
Monitoring Method ◽  
Identification Method ◽  
Abnormal Events

With the development of streaming data processing technology, real-time event monitoring and querying has become a hot issue in this field. In this article, an investigation based on coal mine disaster events is carried out, and a new anti-aliasing model for abnormal events is proposed, as well as a multistage identification method. Coal mine micro-seismic signal is of great importance in the investigation of vibration characteristic, attenuation law, and disaster assessment of coal mine disasters. However, as affected by factors like geological structure and energy losses, the micro-seismic signals of the same kind of disasters may produce data drift in the time domain transmission, such as weak or enhanced signals, which affects the accuracy of the identification of abnormal events (“the coal mine disaster events”). The current mine disaster event monitoring method is a lagged identification, which is based on monitoring a series of sensors with a 10-s-long data waveform as the monitoring unit. The identification method proposed in this article first takes advantages of the dynamic time warping algorithm, which is widely applied in the field of audio recognition, to build an anti-aliasing model and identifies whether the perceived data are disaster signal based on the similarity fitting between them and the template waveform of historical disaster data, and second, since the real-time monitoring data are continuous streaming data, it is necessary to identify the start point of the disaster waveform before the identification of the disaster signal. Therefore, this article proposes a strategy based on a variable sliding window to align two waveforms, locating the start point of perceptual disaster wave and template wave by gradually sliding the perceptual window, which can guarantee the accuracy of the matching. Finally, this article proposes a multistage identification mechanism based on the sliding window matching strategy and the characteristics of the waveforms of coal mine disasters, adjusting the early warning level according to the identification extent of the disaster signal, which increases the early warning level gradually with the successful result of the matching of 1/ N size of the template, and the piecewise aggregate approximation method is used to optimize the calculation process. Experimental results show that the method proposed in this article is more accurate and be used in real time.

The Structural Analysis of Deep Gas Occurrence and Prevention of Gas Disaster in Fengfeng Coalfield

2013 ◽  
Vol 734-737 ◽  
pp. 484-487 ◽  
Author(s):  
Mei Hua Geng ◽  
Xiu Jiang Lv ◽  
Xiao Gang Zhang
Keyword(s):  
Coal Seam ◽  
Coal Mining ◽  
Major Effect ◽  
Geological Structure ◽  
Mining District ◽  
Deep Mining ◽  
Theoretical Support ◽  
Gas Occurrence ◽  
Gas Disaster ◽  
Fault Structures

The geological structure is an important factor of gas occurrence in coal seam, and the gas occurrence in deep coal seam should be paid attention to enough because the occurrence was more controlled by geological structure and influence. Taken Fengfeng coalfield as target in this paper, the geological structure of this coalfield was described. The deep coal mining district which is monoclinic structure in Fengfeng is located in the east of Gushan anticlinoria, which the junior small anticlines and synclines of the sub-echelon are well developed. And regional fault structures are intensive, the pressure structure is the major structure among this region. The characteristics of geological structure in Fengfeng coalfield were analyzed. The tensional structure planes and pressure structure are the major effect factors, and the latter is the main form of gas occurrence in deep. Some suggestions on safe of deep mining in high gas environment is also put forward, in order to provide theoretical support for the deep coal mining and gas disaster prevention.

scholarly journals Geological Structure Interpretation of Coalbed Methane Enrichment Area based on VMDC and Curvature Attributes

Energies ◽  
2019 ◽  
Vol 12 (15) ◽  
pp. 2852
Author(s):  
Yaping Huang ◽  
Hanyong Bao ◽  
Xuemei Qi
Keyword(s):  
Coalbed Methane ◽  
Time Window ◽  
Positive Curvature ◽  
Random Noise ◽  
Correlation Coefficients ◽  
Normal Fault ◽  
Geological Structure ◽  
Geological Structures ◽  
Structure Characteristics ◽  
Geological Models

Geological structures play a leading role in the occurrence characteristics of coalbed methane (CBM), and curvature attributes are an important geometric seismic attribute that can be used to identify a geological structure. In view of the characteristics of curvature attributes which are easily affected by noise, this paper proposes a method based on variational mode decomposition and correlation coefficients (VMDC) for denoising, and then extracts curvature attributes for geological structure interpretation. The geological models with anticline, syncline and normal fault structure characteristics are constructed, and curvature attributes of geological models without noise and with different percentages of random noise are calculated respectively. According to the time window test results, the 5 × 5 time window is more suitable in the case of no noise, while 9 × 9 time window is more suitable when there is noise. The results also show that both the median filtering and VMDC can suppress random noise, but VMDC can suppress noise better and improve the accuracy of curvature attributes. Mean curvature attributes can effectively identify geological structures such as anticlines, synclines and faults. Gauss curvature is not ideal for identifying geological structures. Both the maximum positive curvature and the minimum negative curvature have obvious responses to some geological structures. The method has been applied to a CBM enrichment area prediction in Qinshui Basin, China, and the geological structure characteristics of this area have been preliminarily interpreted. The known CBM content information verifies the feasibility and effectiveness of the proposed method.

scholarly journals Application of Directional Borehole Grouting Technology to Structural Complex Foor Reinforcement in Deep Underground Coal Mine

2018 ◽  
Author(s):  
Qiqing Wang ◽  
Wenping Li
Keyword(s):  
Coal Seam ◽  
Coal Mine ◽  
Water Conservation ◽  
Water Inrush ◽  
Geological Structure ◽  
Directional Drilling ◽  
Rock Stratum ◽  
Factors Affecting ◽  
Mining Depth ◽  
Complex Structural

Water inrush from coal floor constitutes one of the main disasters in mine construction and mine production, which always brings high risks and losses to the coal mine safe production. As the mining depth of coal fields in North China gradually increased, especially in the complicated structural region, the threat posed by limestone karstic water of coal floor to the safe stoping of mines has become increasingly prominent. In this paper, the Taoyuan coalmine was taken as an example, for which, the directional borehole grouting technology was utilized to reinforce the coal seam floor prior to mining. Also, the factors affecting the grouting effect were analyzed. These were the geological structure, the crustal stress and the range of slurry diffusion. The layout principle of grouting drilling was put forward and the directional drilling structure was designed. The water level observations in the end hole indicated that the target stratum was accurate and reliable. The effect of grouting was validated through the audio frequency electric perspective method and the holedrilling in the track trough. The results demonstrated that the effect of grouting in third limestone and the rock stratum above the third limestone of coal seam floor was apparent. Simultaneously, no water inrush occurred following the actual mining of the working face, which further demonstrated that the grouting reinforcement effect was apparent. The research findings were of high significance for the prevention and control of floor water disaster and water conservation in deep complex structural areas.

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