Catastrophic Model of Water Inrush from Coal Mine Floor

2013 ◽  
Vol 316-317 ◽  
pp. 1106-1111
Author(s):  
Ai Jun Shao ◽  
Jian Ping Peng ◽  
Qing Xin Meng ◽  
Yuan Huang
Keyword(s):  
Coal Mine ◽  
Critical Stress ◽  
Water Inrush ◽  
Theory Approach ◽  
Released Energy ◽  
Floor System ◽  
Water Bursting ◽  
First Time ◽  
Mine Floor ◽  
Catastrophic Model

The water inrush from coal mine floor is a typical catastrophic process. A catastrophic theory is applied to water bursting in pit footwall for the first time. Through the research on lost stabilization of energy in the floor system of coal mine, a cusp catastrophic model applied to forecast water bursting from coal mine floor is put forward. The formulas of the critical stress, the strain and the released energy of the floor are developed when the floor system lost stabilization. So a new theory approach is offered for the forecast of water inrush from coal mine floor.

Discrimination of Mine Water Bursting Source Based on Fuzzy System

2012 ◽  
Vol 182-183 ◽  
pp. 644-648
Author(s):  
Wei Feng Yang ◽  
Ding Yi Shen ◽  
Yu Bing Ji ◽  
Yi Wang
Keyword(s):  
Coal Mine ◽  
Mine Water ◽  
Fuzzy System ◽  
Comprehensive Evaluation ◽  
Water Inrush ◽  
Fuzzy Comprehensive Evaluation ◽  
Mining Area ◽  
Shanxi Province ◽  
Estimation Model ◽  
Water Bursting

Through applying the background values of aquifer derived from fuzzy clustering analysis, a fuzzy comprehensive estimation model was developed for quick recognition of mine water inrush. Based on the hydrological-chemical analysis data of water samples which water bursting sources were known in Liliu mining area, Shanxi province, this paper presented that the hydrological-chemical characters of different aquifer was different, and established a sort of fuzzy comprehensive evaluation models of discriminating coal mine water bursting sources in Liliu mining area. Applied to a production mine, the correct rate of water bursting source judged results by various methods was more than 70%. With the dispersion method and the method extracted from stepwise discrimination analysis to determine the membership degree and Model 3 the type determined by various factors, the correct rate of water bursting source with comprehensive evaluation of combination of two methods was higher respectively 94.5% and 93.3%. The fuzzy system can efficiently and accurately discriminate the resource of water inrush for an unknown sample, and provide the decision basis for the safety production of the coal mine.

Prediction Reliability of Water Inrush Through the Coal Mine Floor

2017 ◽  
Vol 36 (2) ◽  
pp. 217-225 ◽  
Author(s):  
Mei Qiu ◽  
Jin Han ◽  
Yan Zhou ◽  
Longqing Shi
Keyword(s):  
Coal Mine ◽  
Water Inrush ◽  
Prediction Reliability ◽  
Mine Floor

scholarly journals A Expansive Limits Anti-Permeability Strength Methodology of the Coal Mine Floor Water Inrush Evaluating

2012 ◽  
Vol 12 ◽  
pp. 372-378 ◽  
Author(s):  
Duan Hong-fei ◽  
Jiang Zhen-quan ◽  
Zhu Shu-yun ◽  
Zhao Li-juan ◽  
Liu Jin-guo
Keyword(s):  
Coal Mine ◽  
Water Inrush ◽  
Floor Water Inrush ◽  
Mine Floor

Experimental Simulation of Fault Water Inrush Channel Evolution in a Coal Mine Floor

2017 ◽  
Vol 36 (3) ◽  
pp. 443-451 ◽  
Author(s):  
Shichuan Zhang ◽  
Weijia Guo ◽  
Yangyang Li ◽  
Wenbin Sun ◽  
Dawei Yin
Keyword(s):  
Coal Mine ◽  
Water Inrush ◽  
Experimental Simulation ◽  
Channel Evolution ◽  
Mine Floor

scholarly journals Sedimentology, architecture and depositional setting of the fluvial Spireslack Sandstone of the Midland Valley, Scotland: insights from the Spireslack surface coal mine

2018 ◽  
Vol 488 (1) ◽  
pp. 181-204 ◽  
Author(s):  
R. Ellen ◽  
M. A. E. Browne ◽  
A. J. Mitten ◽  
S. M. Clarke ◽  
A. G. Leslie ◽  
...  
Keyword(s):  
Coal Mine ◽  
Sediment Load ◽  
Architectural Elements ◽  
Base Level ◽  
Surface Coal Mine ◽  
Lateral Extent ◽  
Fluvial Sandstone ◽  
Depositional Setting ◽  
First Time ◽  
Mixed Load

AbstractThe Spireslack surface coal mine exposes a section in the Carboniferous Lawmuir Formation (Brigantian) into the Upper Limestone Formation (Arnsbergian). This paper describes the stratigraphy exposed at Spireslack and, in so doing, names for the first time the Spireslack Sandstone, a distinctive erosively based, sandstone-dominated unit in the Upper Limestone Formation. The Spireslack Sandstone consists of two fluvial sandstone channel sets and an upper, possibly fluvio-estuarine, succession. From an analysis of their internal architectural elements, the channel sets are interpreted as a low-sinuosity, sand-dominated, mixed-load fluvial system in which avulsion and variations in sediment load played a significant part. The lower channel set appears to be confined to erosional palaeovalleys of limited lateral extent and significant relief. The upper channel set is much more laterally extensive and shows evidence of a generally lower sediment load with a greater degree of lateral accretion and flooding. Consequently, the Spireslack Sandstone may represent a system responding to base level changes of higher magnitude and longer duration than the glacio-eustatic scale commonly attributed to Carboniferous fluvio-deltaic cycles. The Spireslack Sandstone may represent an important correlative marker in the Carboniferous of the Midland Valley and may provide an alternative analogue for some Carboniferous fluvial sandstone stratigraphic traps.

scholarly journals A Global Optimization-Based Method for the Prediction of Water Inrush Hazard from Mining Floor

Water ◽  
2018 ◽  
Vol 10 (11) ◽  
pp. 1618 ◽  
Author(s):  
Dan Ma ◽  
Hongyu Duan ◽  
Xin Cai ◽  
Zhenhua Li ◽  
Qiang Li ◽  
...  
Keyword(s):  
Global Optimization ◽  
Water Pressure ◽  
Water Inrush ◽  
Hybrid Genetic Algorithm ◽  
Function Parameter ◽  
Support Vector ◽  
Suitable Model ◽  
Svm Model ◽  
Highly Nonlinear ◽  
Mine Floor

Water inrush hazards can be effectively reduced by a reasonable and accurate soft-measuring method on the water inrush quantity from the mine floor. This is quite important for safe mining. However, there is a highly nonlinear relationship between the water outburst from coal seam floors and geological structure, hydrogeology, aquifer, water pressure, water-resisting strata, mining damage, fault and other factors. Therefore, it is difficult to establish a suitable model by traditional methods to forecast the water inrush quantity from the mine floor. Modeling methods developed in other fields can provide adequate models for rock behavior on water inrush. In this study, a new forecast system, which is based on a hybrid genetic algorithm (GA) with the support vector machine (SVM) algorithm, a model structure and the related parameters are proposed simultaneously on water inrush prediction. With the advantages of powerful global optimization functions, implicit parallelism and high stability of the GA, the penalty coefficient, insensitivity coefficient and kernel function parameter of the SVM model are determined as approximately optimal automatically in the spatial dimension. All of these characteristics greatly improve the accuracy and usable range of the SVM model. Testing results show that GA has a useful ability in finding optimal parameters of a SVM model. The performance of the GA optimized SVM (GA-SVM) is superior to the SVM model. The GA-SVM enables the prediction of water inrush and provides a promising solution to the predictive problem for relevant industries.

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