3D Path Network Planning: Using a Global Optimization Heuristic for Mine Water-Inrush Evacuation

2019 ◽  
pp. 279-290 ◽  
Author(s):  
Yi Hong ◽  
Deying Li ◽  
Qiang Wu ◽  
Hua Xu
Keyword(s):  
Global Optimization ◽  
Mine Water ◽  
Water Inrush ◽  
Network Planning

Groundwater flow simulation and its application in GaoSong ore field, China

2018 ◽  
Vol 10 (2) ◽  
pp. 276-284 ◽  
Author(s):  
Gang Chen ◽  
Shiguang Xu ◽  
Chunxue Liu ◽  
Lei Lu ◽  
Liang Guo
Keyword(s):  
Numerical Model ◽  
Flow Field ◽  
Groundwater Flow ◽  
Mine Water ◽  
Permeability Coefficient ◽  
Water Inrush ◽  
Seepage Field ◽  
Groundwater Seepage ◽  
Calculation Results ◽  
Groundwater Flow Field

Abstract Mine water inrush is one of the important factors threatening safe production in mines. The accurate understanding of the mine groundwater flow field can effectively reduce the hazards of mine water inrush. Numerical simulation is an important method to study the groundwater flow field. This paper numerically simulates the groundwater seepage field in the GaoSong ore field. In order to ensure the accuracy of the numerical model, the research team completed 3,724 field fissure measurements in the study area. The fracture measurement results were analyzed using the GEOFRAC method and the whole-area fracture network data were generated. On this basis, the rock mass permeability coefficient tensor of the aquifer in the study area was calculated. The tensor calculation results are used in the numerical model of groundwater flow. After calculation, the obtained numerical model can better represent the groundwater seepage field in the study area. In addition, we designed three different numerical models for calculation, mainly to explore the influence of the tensor assignment of permeability coefficient on the calculation results of water yield of the mine. The results showed that irrational fathom tensor assignment would cause a significant deviation in calculation results.

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.

Scenario analysis of mine water inrush hazard using Bayesian networks

2016 ◽  
Vol 89 ◽  
pp. 231-239 ◽  
Author(s):  
Jiansong Wu ◽  
Shengdi Xu ◽  
Rui Zhou ◽  
Yueping Qin
Keyword(s):  
Bayesian Networks ◽  
Scenario Analysis ◽  
Mine Water ◽  
Water Inrush

Identification Method of Coal Mine Water Inrush Spectrum Based on Multilayer Regularization Extreme Learning Machine

2018 ◽  
Vol 38 (7) ◽  
pp. 0730002
Author(s):  
王亚 Wang Ya ◽  
周孟然 Zhou Mengran ◽  
陈瑞云 Chen Ruiyun ◽  
闫鹏程 Yan Pengcheng ◽  
胡锋 Hu Feng ◽  
...  
Keyword(s):  
Extreme Learning Machine ◽  
Coal Mine ◽  
Mine Water ◽  
Water Inrush ◽  
Identification Method ◽  
Coal Mine Water ◽  
Learning Machine

Analysis and lessons of a mine water inrush accident resulted from the closed mines

2020 ◽  
Vol 13 (14) ◽  
Author(s):  
Ying Xu ◽  
Qingliang Chang ◽  
Xiaodong Yan ◽  
Wenming Han ◽  
Binlou Chang ◽  
...  
Keyword(s):  
Mine Water ◽  
Water Inrush

scholarly journals Hydrogeochemical Evolution and Control Mechanism of Underground Multiaquifer System in Coal Mine Area

Geofluids ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Qiding Ju ◽  
Yu Liu ◽  
Youbiao Hu ◽  
Yuquan Wang ◽  
Qimeng Liu ◽  
...  
Keyword(s):  
Cation Exchange ◽  
Mine Water ◽  
Control Mechanism ◽  
Water Inrush ◽  
Pyrite Oxidation ◽  
Mining Area ◽  
Carbonate Dissolution ◽  
Mining Activities ◽  
Hydrogeochemical Evolution ◽  
And Control

Mining activities interfere into the natural groundwater chemical environment, which may lead to hydrogeochemical changes of aquifers and mine water inrush disasters. The study of hydrogeochemical evolution processes of underground aquifers is helpful to the prevention and control of mine water inrush. The results show that the study area is mainly impacted by four hydrogeochemical processes: dissolution, cation exchange, desulfurization and reduction, and pyrite oxidation. The Cenozoic aquifers are dominated by carbonate dissolution and desulfurization. The Permian aquifers are impacted mainly by cation exchange and sulfate dissolution, followed by pyrite oxidation. The Carboniferous aquifers are mainly impacted by dissolving sulfate, followed by pyrite oxidation and cation exchange. The hydrogeochemical evolution of the aquifers was controlled by mining activities and tectonic changes, and a certain regularity in space. For the Cenozoic aquifers, sulfate dissolution and cation exchange increase from west to east, and desulfurization weakens. For the Permian aquifers, cation exchange and sulfate dissolution are stronger near synclines and faults, pyrite oxidation is enhanced, and desulfurization decreases from the middle to the east of the mining area. For the Carboniferous aquifers, there is a higher dissolution of rock salt, pyrite oxidation, and cation exchange from west to east, and the desulfurization effect weakens.

scholarly journals Source Identification and Quantification of Seepage Water in a Coastal Mine, in China

Water ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1862
Author(s):  
Xueliang Duan ◽  
Fengshan Ma ◽  
Jie Guo ◽  
Haijun Zhao ◽  
Hongyu Gu ◽  
...  
Keyword(s):  
Mine Water ◽  
Water Inrush ◽  
Principal Component ◽  
Seepage Water ◽  
Mixing Ratios ◽  
Flow Channels ◽  
Geological Conditions ◽  
Secondary Fractures ◽  
End Members ◽  
Supply Pattern

The Sanshandao gold mine, which is the largest coastal mine in China, is under threat from seawater intrusion and water inrush. The objective of this study is to determine the water end-members (seawater, freshwater, and brine) of the seepage water in the mine and quantify the proportion of end-members. Non-conservative ions and ion exchange were identified by using hydrogeochemical analysis. Then, the principal component analysis (PCA) was used to identify the end-members of mine water. Three end-members were identified, so a ternary mixture model was applied to compute the mixing ratios. The potential water flow channels and the prevailing supply patterns were inferred by combining the results of mixing ratios with the tectonic and engineering geological conditions. The results indicate that the proportion of seawater in mine water is about 57%, the freshwater is about 16% and the brine is about 27% for the entire mine area, the prevailing supply pattern of seawater was lateral recharge, the water samples which were located in −510 m sublevel or in the northeast of prospecting line 2260 had high proportions of seawater, the freshwater supplied the groundwater mainly through the secondary fractures developed area in a vertical recharge and the influence depth was about −500 m, and F3 was the largest tensile-shear fault in the study area and it was both a watercourse for seawater and fresh water.

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