A Review of Geophysical Exploration Technology for Mine Water Disaster in China: Applications and Trends

Tuo, Lu; Liu, Shengdong; Wang, Bo; Wu, Rongxin; Hu, Xin

doi:10.1007/s10230-017-0467-z

Cited by 38 publications

(12 citation statements)

References 23 publications

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“…3 Geological Backgrounds Also considering the space, the relevant contents of hydrogeological background in the study area can be found in Supplementary Materials (Section 2). 4 Sampling And Analysis…”

Section: Theories and Algorithmmentioning

confidence: 99%

Identification and prediction algorithm of water-gushing sources in adjacent limestone aquifer driven by data model: with strontium isotope as constraint

Wei

Gao

2022

Preprint

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Water gushing in mines is one of the most threatening geological disasters in the process of coal mine production, so the key to prevent water gushing disaster in mines is to quickly and effectively identify the water-gushing sources (WGS). In view of the problem that it is difficult to effectively identify the WGS from adjacent limestone aquifer by conventional technical approaches, the Group A coal seams in Panji-2 coal mine, a typical coal mine in Huainan coalfield, was selected as the object of investigation in this study. A total of 60 water samples from two adjacent aquifers (Taiyuan formation limestone aquifer and Ordovician dolomitic-limestone aquifer) were systematically collected by using underground hydrological long-distance observation hole. On the basis of analyzing the hydro-chemical properties of the water samples, the hydrochemistry types of each aquifer were obtained. The results indicate that there is a certain hydraulic connection between Taiyuan formation limestone water (TLW) and Ordovician limestone water (OLW). In order to characterize and trace the similarities and differences between the two types of water sources, the concentration of strontium (γSr2+) and its isotope value (87Sr/86Sr, δ87Sr) were first determined, and it was found that γSr2+ had a significant discrimination between the two types of water sources, and accounted for the major contribution rate in the results of principal component analysis (PCA). Therefore, in conjunction to PCA, four identification models of WGS based on strontium isotope were established successively (Fisher discrimination analysis model (δ87Sr-F model), Distance discrimination analysis model (δ87Sr-D model), BP neural network analysis model (δ87Sr-B model) and Grey relational analysis model (δ87Sr-G model)). First, the stability and reliability of four models were trained according to the data of 40 water samples, and then the trained model was used to identify the source of the remaining 20 water samples. From the results, the δ87Sr-B model has the best discrimination effect, and its accuracy rate reaches 95%. In the actual production process of Panji-2 coal mine in the future, it is suggested to adopt the δ87Sr-B model to carry out the theoretical model of WGS identification of Group A coal seams floor, which provides a guarantee for coal mine safety production.

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Section: Theories and Algorithmmentioning

confidence: 99%

Identification and prediction algorithm of water-gushing sources in adjacent limestone aquifer driven by data model: with strontium isotope as constraint

Wei

Gao

2022

Preprint

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“…In fact, scholars and engineers have conducted a lot of related research in China. Early exploration, prediction, evaluation of geological conditions and types of water disasters, and methods of prevention and control are the focus of these studies [13][14][15][16][17][18][19][20][21]. All of these effectively reduce the occurrence of water inrush accidents in coal mines.…”

Section: 13 X 2 Of 13mentioning

confidence: 99%

Damage Characteristics and Mechanism of the 2017 Groundwater Inrush Accident That Occurred at Dongyu Coalmine in Taiyuan, Shanxi, China

Luo

Sun

et al. 2021

Water

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On 22 May 2017, a groundwater inrush accident occurred in the gob area of coal floor at Dongyu Coal Mine in Qingxu County, Shanxi Province, China. The water inrush accident caused great damage, among which six people died and the direct economic loss was about CNY 5.05 million. An elliptical permeable passage appeared at the floor of the water inrush point, and the lithology of the outburst is mainly fragmented sandy mudstone and siltstone of coal roof No.2 in the lower layer of coal seam No.3, which is currently being mined, with a peak inflow of 500 m3/h. The water inrush happened due to following reasons: There is an abandoned stagnant water-closed roadway in coal seam No.2, which is the lower mine group of coal seam No.3. The abandoned roadway of coal seam No.2 is an inclined roadway. The water level of the roadway far away from the accident point is higher than the floor elevation of coal seam No.3. Under the joint action of water pressure, mining disturbance, and weakening of goaf water immersion, the original equilibrium state was broken, resulting in the destruction of the only 7 m water-barrier rock pillar between coal seam No.3 and coal seam No.2. The water in the goaf led upward along the roof crack, gradually evolved from seepage to gushing water, and a large amount of goaf water poured into the roadway in the working face of the 03304 panel, finally leading to the occurrence of catastrophic water inrush. Technically, the miners did not implement the technical provisions of the coal mine water control regulations, leading to the accident. In addition, the failure to arrange evacuees to a safe location after apparent signs of water inrush also increased the catastrophic level of the accident.

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“…Water damage is a key problem during mining 1 – 3 . The large-well method is commonly used for predicting mine water inflow 4 – 6 , however, the accuracy of the results are subject to the constraints of hydrogeological conditions 7 – 9 . For example, the calculation process of the large well method is simple, but for areas with complex hydrogeological conditions, the calculation accuracy needs to be further improved.…”

Section: Introductionmentioning

confidence: 99%

Interval uncertainty analysis of a confined aquifer

Wang

2021

Sci Rep

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Water inflow forecast is influenced by many factors and yields uncertain results. To more accurately predict the magnitude of water inflow and quantitatively define the corresponding response in the parameter change interval, this study combined a non-probabilistic set theory and uncertainty analysis to derive an equation for the confined water inflow. Using mining area data and comparing the calculation of upper and lower boundary limits obtained by a Monte Carlo method, results of the confined water inflow equation were calculated with relative errors of 5% and 10%. When corresponding to the rate of change of the variable parameter, the results showed that under the same error conditions, the allowable rate of change when calculating the minimum value using Eq. A was greater than when using Eq. B, and the maximum value using Eq. B yielded a greater allowable rate of change than the maximum value calculated by Eq. A. Thus, the obtained rate of change for Eq. A is indicative of the lower limit, and Eq. B is conducive to the calculation of the upper limit of mine water inflow.

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A Review of Geophysical Exploration Technology for Mine Water Disaster in China: Applications and Trends

Cited by 38 publications

References 23 publications

Identification and prediction algorithm of water-gushing sources in adjacent limestone aquifer driven by data model: with strontium isotope as constraint

Identification and prediction algorithm of water-gushing sources in adjacent limestone aquifer driven by data model: with strontium isotope as constraint

Damage Characteristics and Mechanism of the 2017 Groundwater Inrush Accident That Occurred at Dongyu Coalmine in Taiyuan, Shanxi, China

Interval uncertainty analysis of a confined aquifer

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