SCIENTIFIC AND METHODOLOGICAL SUPPORT FOR THE DESIGN OF FLEXIBLE TECHNOLOGIES OF COAL MINING IN DIFFICULT MINING AND GEOLOGICAL CONDITIONS

2017 ◽  
Vol 12 (40) ◽  
pp. 21-24
Author(s):  
E. N. Yakunchikov ◽  
◽  
V. V. Agafonov ◽  
Keyword(s):  
Coal Mining ◽  
Geological Conditions

scholarly journals Water Preservation and Conservation above Coal Mines Using an Innovative Approach: A Case Study

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2818
Author(s):  
Yujun Xu ◽  
Liqiang Ma ◽  
Yihe Yu
Keyword(s):  
Coal Mining ◽  
Water Conservation ◽  
Large Scale ◽  
Influencing Factor ◽  
Mining Area ◽  
Mining Operations ◽  
Narrow Strip ◽  
Geological Conditions ◽  
The Impact

To better protect the ecological environment during large scale underground coal mining operations in the northwest of China, the authors have proposed a water-conservation coal mining (WCCM) method. This case study demonstrated the successful application of WCCM in the Yu-Shen mining area. Firstly, by using the analytic hierarchy process (AHP), the influencing factors of WCCM were identified and the identification model with a multilevel structure was developed, to determine the weight of each influencing factor. Based on this, the five maps: overburden thickness contour, stratigraphic structure map, water-rich zoning map of aquifers, aquiclude thickness contour and coal seam thickness contour, were analyzed and determined. This formed the basis for studying WCCM in the mining area. Using the geological conditions of the Yu-Shen mining area, the features of caved zone, water conductive fractured zone (WCFZ) and protective zone were studied. The equations for calculating the height of the “three zones” were proposed. Considering the hydrogeological condition of Yu-Shen mining area, the criteria were put forward to evaluate the impact of coal mining on groundwater, which were then used to determine the distribution of different impact levels. Using strata control theory, the mechanism and applicability of WCCM methods, including height-restricted mining, (partial) backfill mining and narrow strip mining, together with the applicable zone of these methods, were analyzed and identified. Under the guidance of “two zoning” (zoning based on coal mining’s impact level on groundwater and zoning based on applicability of WCCM methods), the WCCM practice was carried out in Yu-Shen mining area. The research findings will provide theoretical and practical instruction for the WCCM in the northwest mining area of China, which is important to reduce the impact of mining on surface and groundwater.

New Technology of Surface Subsidence Control and Environmental Protection Research in Coal Mining Region

2014 ◽  
Vol 675-677 ◽  
pp. 1385-1394
Author(s):  
Cheng Rong Jiang ◽  
Liu Yang ◽  
Hao Xie ◽  
Hua Yi Huang ◽  
De Ke Sun
Keyword(s):  
Coal Mining ◽  
New Technology ◽  
Mining Area ◽  
Industrial Test ◽  
Surface Subsidence ◽  
High Concentration ◽  
Geological Conditions ◽  
Surface Subsidence Control ◽  
Fissure Water ◽  
Overlying Strata

In combination with the geological conditions of Tie'er mining area in Tangshan coal mining, this paper not only analyzes the evolution of overlying strata structure in stope and the development law of overlying strata separation, also proposes a new continuous grouting technology with large flow and high concentration slurry. The industrial test showed that, when the grout-mining ratio of the whole mining area is 25.3%, the reducing subsidence ratio is 51.5%, the effect of reducing the surface subsidence is good. According to the chemical analysis of water quality ingredients of slurry, the test result showed, heavy metals contents in fly-ash slurry water do not exceed the standard, which has no bad effect on the fissure water in the bedrock.

scholarly journals Application of seismic multiattribute machine learning to determine coal strata thickness

2021 ◽  
Vol 18 (6) ◽  
pp. 834-844
Author(s):  
Yanhui Wu ◽  
Wei Wang ◽  
Guowei Zhu ◽  
Peng Wang
Keyword(s):  
Machine Learning ◽  
Coal Mining ◽  
Accurate Determination ◽  
Mining Industry ◽  
Seismic Exploration ◽  
Practical Significance ◽  
Application Performance ◽  
Working Face ◽  
Geological Conditions ◽  
Single Attribute

Abstract The coal mining industry is developing automated and intelligent coal mining processes. Accurate determination of the geological conditions of working faces is an important prerequisite for automated mining. The use of machine learning to extract comprehensive attributes from seismic data and the application of that data to determine the coal strata thickness has become an important area of research in recent years. Conventional coal strata thickness interpretation methods do not meet the application requirements of mines. Determining the coal strata thickness with machine learning solves this problem to a large extent, especially for issues of exploration accuracy. In this study, we use seismic exploration data from the Xingdong coal mine, with the 1225 working face as the research object, and we apply seismic multiattribute machine learning to determine the coal strata thickness. First, through optimal selection, we perform seismic multiattribute extraction and optimal multiparameter selection by selecting the seismic attributes with good responses to the coal strata thickness and extracting training samples. Second, we optimise the model through a trial-and-error method and use machine learning for training. Finally, we illustrate the advantages of this method using actual data. We compare the results of the proposed model with results based on a single attribute, The results show that application of seismic multiattribute machine learning to determine coal strata thickness meets the requirements of geological inspection and has a good application performance and practical significance in complex areas.

scholarly journals Prerequisites for creating a bucket to improve the quality of selective coal mining

2021 ◽  
Vol 315 ◽  
pp. 01011
Author(s):  
Elena Zelayeva ◽  
Vyacheslav Venger ◽  
Jaynangul Khammetova
Keyword(s):  
Coal Mining ◽  
Significant Role ◽  
Geological Conditions ◽  
The Right

Ensuring the improvement of the quality of the extracted coal is one of the most important tasks for improving the efficiency of the enterprise as a whole. A significant role in the extraction of minerals is played by the choice of equipment with the right characteristics, since the quality of coal products is formed not only from the natural (mining and geological) conditions of the formation. The article considers one of the main prerequisites for creating a bucket with rational parameters to improve the quality of selective excavation.

scholarly journals The Issue of Income from Operating Ukraine Coal Deep Mines/ Problematika Hospodářského Výsledku Hlubinných Uhelných Dolů Ukrajiny

2012 ◽  
Vol 58 (4) ◽  
pp. 59-65 ◽  
Author(s):  
Jaroslavav Dvořáček ◽  
Elena V. Martyaková ◽  
Ilona V. Kochura ◽  
Radmila Sousedíková ◽  
Igor Savič
Keyword(s):  
Coal Mining ◽  
Human Factor ◽  
Economic Success ◽  
Mining Operations ◽  
Discriminate Analysis ◽  
Geological Conditions

Abstract This paper focuses on looking for factors that influence the income of deep coal mining operations in Ukraine. The method of discriminate analysis was employed for assessing economic success of the operations. It could be concluded that mining-geological conditions are the most significant cause of influence; the human factor is of lesser importance.

scholarly journals Perspectives for the Transportless Mining Technology in Siberia and Far East Coal Deposits

2019 ◽  
Vol 105 ◽  
pp. 01021 ◽  
Author(s):  
Sergey Markov ◽  
Juraj Janočko ◽  
Maxim Tyulenev ◽  
Yaroslav Litvin
Keyword(s):  
Coal Mining ◽  
Large Scale ◽  
Far East ◽  
Federal District ◽  
Coal Industry ◽  
Coal Consumption ◽  
Coal Deposits ◽  
Geological Conditions ◽  
Tyva Republic

In accordance with the long-term program for the coal industry development in Russia until 2030, the growth in the share of the Far East Federal District in the total coal production should be 2.5% compared to 2018. Production volumes in the Siberian Federal District to 2030 should reach 309.5 million tons. These numbers are planned to be achieved through the implementation of large-scale infrastructure projects for the development of new coal deposits with convenient mining and geological conditions, as well as the creation of new coal mining centres in Yakutia, Zabaykalsky region, Tyva Republic and other eastern regions of Russia. Taking into account the development of power generating facilities in Far East and Baikal region, coal consumption is planned to increase from 119 million tons in 2020 to 150 million tons per year in 2030. The realization of the planned indicators should be carried out taking into account the use of coal mining technologies that meet the mining and geological conditions of the deposits in this region. For a large number of coal fields in Eastern Siberia and Far East, transportless technology will be preferred.

Stress Shell Mechanical Mechanism of Fully-Mechanized Face Enhancing the Upper Limit for Coal Mining and Risk Analysis of Support Break-Off

2012 ◽  
Vol 524-527 ◽  
pp. 466-470
Author(s):  
Jun Ling Hou ◽  
Yan Sun
Keyword(s):  
Stress Distribution ◽  
Coal Seam ◽  
Coal Mining ◽  
Surrounding Rock ◽  
Mechanical Environment ◽  
Upper Limit ◽  
Working Face ◽  
Distribution Rule ◽  
Geological Conditions ◽  
Mining Face

Based on the geological conditions and specific mining technology conditions of the 11014 mining face of Panbei mine in HuaiNan mining group ,using the FLAC3D software, simulate the stress distribution rule and disruption field distribution rule of surrounding rock of Fully-Mechanized face enhancing the upper limit for coal mining along the tendency and trend of coal seam by different mining speed of 6 m/d, 4 m/d and 2 m/d. draw the conclusion that enhancing the mining speed can alleviate the pressure of the working face ,improve the working face mechanical environment,and reduce the extent of the failure field.It provides the theory basis and reference for Fully-Mechanized face enhancing the upper limit for coal mining under similar conditions.

scholarly journals Utilizing coal remaining resources and post-mining land use planning based on GIS-based optimization method : study case at PT Adaro coal mine in South Kalimantan

2017 ◽  
Vol 2 (2) ◽  
pp. 141
Author(s):  
Mohamad Anis ◽  
Arifudin Idrus ◽  
Hendra Amijaya ◽  
Subagyo Subagyo
Keyword(s):  
Land Use ◽  
Coal Mining ◽  
Land Use Planning ◽  
Environmental Sustainability ◽  
Mining Industry ◽  
Optimization Method ◽  
Mining Area ◽  
Rubber Plantation ◽  
Mining Sites ◽  
Geological Conditions

Coal mining activities may cause a series of environmental and socio-economic issues in communities around the mining area. Mining can become an obstacle to environmental sustainability and a major hidden danger to the security of the local ecology. Therefore, the coal mining industry should follow some specific principles and factors in achieving sustainable development. These factors include geological conditions, land use, mining technology, environmental sustainability policies and government regulations, socio-economic factors, as well as sustainability optimization for post-mining land use. Resources of the remains of the coal which is defined as the last remaining condition of the resources and reserves of coal when the coal companies have already completed the life of the mine or the expiration of the licensing contract (in accordance with government permission). This research uses approch of knowledge-driven GIS based methods mainly Analytical Hierarchy Process (AHP) and Fuzzy logic for utilizing coal remaining resources and post-mining land use planning. The mining area selected for this study belongs to a PKP2B (Work Agreement for Coal Mining) company named Adaro Indonesia (PT Adaro). The result shows that geologically the existing formation is dominated by Coal Bearing Formation (Warukin Formation) which allows the presence of remains coal resource potential after the lifetime of mine, and the suitability of rubber plantation for the optimization of land use in all mining sites and also in some disposal places in conservation areas and protected forests.

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