Risk Assessment of Water Inrush in an Underground Coal Mine Based on GIS and Fuzzy Set Theory

Yang, Binbin; Sui, Wanghua; Duan, Lihong

doi:10.1007/s10230-017-0457-1

Cited by 56 publications

(21 citation statements)

References 52 publications

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“…Based on the GIS, the thematic maps of the factors were constructed by using the natural breaks method (Yang et al, 2017), which is a means of data classification as shown in Figures 2–7. The weight of each factor is calculated by the AHP model.…”

Section: Resultsmentioning

confidence: 99%

Evaluation of deep high-rank coal seam gas content and favorable area division based on GIS: A case study of the South Yanchuan block in Ordos Basin

Cao

Cui³

et al. 2022

Energy Exploration & Exploitation

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The South Yanchuan block is the deepest developed high-rank coalbed methane (CBM) field in China, the geological conditions in this block are complex and the main controlling factors of CBM content are various. Thus, a decision-making model of the potential of deep high-rank coalbed methane resource based on geographical information system (GIS) and weighted linear combination (WLC) is established, the influence of geological conditions on CBM content is analyzed, the favorable areas of CBM potential are divided. Results show that the buried depth, coal rank and hydrodynamic condition in the coal seam are dominant factors that control the gas content on a block scale, while the gas content has a weak correlation with maceral composition, coal thickness and the effective thickness of the overlying strata. The study area is divided into five units according to the natural breaks method, i.e., the extramely favourable area, the favourable area, the relatively favourable area, the normally favourable area and the unfavourable area, which account for 14.23%, 22.23%, 24.77%, 25.08% and 13.70% in area, respectively. The extramely favourable area is located in the northwestern of the South Yanchuan block, which is considered to be the key exploration and development area. The study will deepen the understanding of the control of CBM potential in south Yanchuan Block, and is of practical significance for CBM recovery in this area.

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Section: Resultsmentioning

confidence: 99%

Evaluation of deep high-rank coal seam gas content and favorable area division based on GIS: A case study of the South Yanchuan block in Ordos Basin

Cao

Cui³

et al. 2022

Energy Exploration & Exploitation

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“…The risk grade division of evaluation indexes affects the reliability of evaluation results. The Jenks can classify the data, maximize the differences between the classes, and set their boundaries at the positions where the differences are the greatest. This difference is just what we need.…”

Section: Theory and Methodsmentioning

confidence: 99%

Mine Water Inrush Risk Assessment Evaluation Based on the GIS and Combination Weight-Cloud Model: A Case Study

et al. 2021

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With the increase in mining depth, the hydrogeological conditions of mines become more complex, which leads to higher possibility and harmfulness of water inrush accidents and brings great challenges to mine safety. It is particularly important to accurately evaluate the risk of mine water inrush. In order to study and prevent the floor water disaster of coal mines, it is necessary to correctly evaluate the risk of water inrush according to the limited borehole data. Based on the six main factors affecting water inrush, such as the seam dip angle, fault fractal dimension, key-strata thickness, water pressure, mining depth, and dip length, a comprehensive evaluation index system of floor water inrush risk is established in this paper. In the first step, we combine the combination weight method based on game theory with the cloud model to calculate the risk level of water inrush at each borehole location. In the second step, the risk level is displayed in a geographic information system, and the single index and comprehensive zoning map of water inrush risk in the study area are established to provide scientific guidance for mine water disaster prevention and control in this area. Through the case study of the Yangcheng Coal Mine, the whole process is further expounded. The results show that the five actual water inrush points in the Yangcheng Coal Mine are located in the dangerous area (grade IV) and the relatively dangerous area (grade III), which verifies the effectiveness of this method. At the same time, the evaluation results show that water pressure has great influence on floor water inrush.

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“…Based on the literature, there are 14 different systems to determine the effects of grouting, in which 5 are analyzed in this study, which are the analytical, inspection, excavation sampling, displacement, and geophysical methods as listed in Table 1 [24].…”

Section: Introductionmentioning

confidence: 99%

Investigation of Multiple Hole Grouting for Reducing Water Inrush Risk in Underground Engineering

Yang

et al. 2021

Advances in Materials Science and Engineering

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Reinforcement with grout as an environmentally friendly technology has played a key role in underground coal mining. The risk of the water inrush into coal mines can all be reduced by grouting. A model that integrates a geographic information system (GIS), distribution of quantity of grouting injected, and water inflow correlation method is proposed here to evaluate the effects of grouted reinforcement in coal mining. The temporal and spatial characteristics of the volume of grout injected and water yield of aquifers are analyzed by using the GIS, and the rate of filling of cement slurry and its distribution characteristics are determined. The effects of grouting on the aquifers which has been carried out to reduce their permeability are determined by comparing the spatial temporal variations in the volume of the grout injected, water yield, and rate of filling of the cement slurry. The method was applied in a case study in a coalmine in Henan province, China, in which the risk of the water inrush from karst aquifers has been reduced by grouting. There are three limestone aquifers, namely, L8, L10, and L11 which underlie an exploitable coal seam. The result indicates that most of the cement slurry is consumed when the water yield is 20 to 30 m3/h; and that there are minimal changes of the electrical properties of the rock stratum under coal seam when the water yield of L11 is low within the range of 40 m. The resistivity of the aquifers before and after grouting and their spatial characteristics are tested by using the transient electromagnetic method (TEM), and this shows that there are no areas with low resistivity. The electrical properties of the strata at a depth that ranges from 40–80 m with transverse homogeneity show that Aquifers L10 and L11 have been transformed into aquicludes. The reinforcement effect of aquifers with grout is good.

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Risk Assessment of Water Inrush in an Underground Coal Mine Based on GIS and Fuzzy Set Theory

Cited by 56 publications

References 52 publications

Evaluation of deep high-rank coal seam gas content and favorable area division based on GIS: A case study of the South Yanchuan block in Ordos Basin

Evaluation of deep high-rank coal seam gas content and favorable area division based on GIS: A case study of the South Yanchuan block in Ordos Basin

Mine Water Inrush Risk Assessment Evaluation Based on the GIS and Combination Weight-Cloud Model: A Case Study

Investigation of Multiple Hole Grouting for Reducing Water Inrush Risk in Underground Engineering

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