The spontaneous combustion of coal has consistently been the most significant factor influencing coal mining with over 85% of fire accidents in China being attributed to the spontaneous combustion of coal seams [] Simultaneously coal resources are being progressively extracted from shallow to deep layers [] Mining depths have reached 1000 1500 m and are
Design of underground coal mining methods for different geomining conditions depth thickness discontinuities inclination etc of coal seams Better understanding of Indian geo mining conditions and rock mass characterisation RMR for an efficient design of support and underground mining structures based on geotechnical investigations
Rockburst coal bump and mine earthquake are the most important dynamic disaster phenomena in deep mining This paper summarizes the differences and connections between rockburst coal bumps and mine earthquakes in terms of definition mechanism phenomenon evaluation index etc The definition and evolution progress of the three disaster
machinery such as boomheaders coal cutters continuous miners and shearers 1 Underground Mining Methods Classification of Underground Mining Methods Mineral production in which all extracting operations are conducted beneath the ground surface is termed underground mining Underground mining methods are usually
BP model is more suitable for the classification of coal mine water sources INDEX TERMS Laser induced fluorescence technique pretreatment sparrow search algorithm I Administration only in
The extraction process of CBM involves the dewatering of coal seams enabling the release of trapped methane gas [1] However one of the primary challenges encountered during CBM production is the significant amount of water that accompanies the extracted gas [2] This water known as produced water poses a major problem in terms of treatment
There are four main mining methods underground open surface pit placer and in situ mining Underground mines are more expensive and are often used to reach deeper deposits Surface mines are typically used for more shallow and less valuable deposits Placer mining is used to sift out valuable metals from sediments in river channels beach sands or
The deep integration of computer field and coal mining field is the only way to coal mine intellectualization A variety of artificial intelligence tools have been applied in open pit and shallow coal mines However with the geometric increase of coal demand the contradiction between supply and demand is becoming more and more serious and the exploitation of
Efficient and accurate classification of the microseismic data obtained in coal mine production is of great significance for the guidance of coal mine production safety disaster prevention and
Ores recovered through mining include metals coal oil shale gemstones calcareous stone chalk rock salt potash gravel and clay Mining is required to obtain any material that can not be grown or artificially created in a laboratory or factory through agricultural processes What are the main mining methods Four main methods of
The method used gives some indication of the amount and pattern of coal extraction within each mined area and has some influence on the timing and type of subsidence that can occur over a mine The following discussion and illustrations of mining methods are based on Guither et al 1984 Room and pillar
Coal mining methods are classified based on the accessibility of deposits including surface and underground mining Abalaka & Aga 2016; Hansen 2021;Hansen & Ingason 2013 Fire outbreak in
The study area of this paper is the Jiangjun Gobi No 1 Open pit Coal Mine field which is located in the southeast of the Junggar Basin Xinjiang Uygur Autonomous Region China
AND CLASSIFICATION OF COAL RESOURCES 2 • Provide a definition of Inventory Coal as included in this document for the purposes of Government and non public reporting The Coal Guidelines are broad in nature to accommodate the wide variation of coal deposits in terms of rank quality and geological environment
The existing classification methods for backfill coal mining are shown in Figure 1 The concept and theories within backfill mining inform these classification methods for backfill coal mining However the classification results are sometimes partial and need more significant guidance for field engineering applications
Coal mine accidents induced by large energy microseisms are frequent and common Classification of mine microseismic events is an important part of accident treatment and post disaster recovery production With the wide application of microseismic monitoring systems they always generate a large number of microseismic monitoring time series data
The classification reflects that the composite roof plates are liable to develop layer separation in the mining area The coal roads of Class IV V are further divided into four types stable
In order to predict gas explosion disasters rapidly and accurately this study utilizes real time data collected from the intelligent mining system including mine safety monitoring personnel positioning and video surveillance Firstly the coal mine disaster system is decomposed into sub systems of disaster causing factors disaster prone environments and
After considering the empirical data and technical parameters Liu 26 developed a shallow buried coal seam short wall continuous mechanical mining method classification system and established a
Data in Fig show that because the ash content of coal is affected greatly by the geological evolution conditions the data points are much more dispersed than the moisture trend shown in Fig the ash content of coal shows a decreasing trend with the increased metamorphism where the maximum value does not exceed the curve described by
It had a competent conglomerate roof with a thickness of approximately 15 20 m The mining depth was approximately 280 m below the ground surface A roadway section between cut through 10 10ct and 9ct intersected by a mafic dyke see Fig 1 was regarded by the mine as a coal burst prone area The length of the dyke was more than 800 m and
Efficient and accurate classification of the microseismic data obtained in coal mine production is of great significance for the guidance of coal mine production safety disaster prevention and early warning In the early stage the classification of microseismic events relies on human experiences which is not only inefficient but also often causes some misclassifications