Height prediction of water-flowing fracture zone with a genetic-algorithm support-vector-machine method
- PDF / 3,449,802 Bytes
- 12 Pages / 595.276 x 790.866 pts Page_size
- 15 Downloads / 184 Views
Height prediction of water-flowing fracture zone with a geneticalgorithm support-vector-machine method Enke Hou1 • Qiang Wen1 • Zhenni Ye1 • Wei Chen1 • Jiangbo Wei1
Received: 28 June 2019 / Revised: 29 February 2020 / Accepted: 4 September 2020 The Author(s) 2020
Abstract Prediction of the height of a water-flowing fracture zone (WFFZ) is the foundation for evaluating water bursting conditions on roof coal. By taking the Binchang mining area as the study area and conducting an in-depth study of the influence of coal seam thickness, burial depth, working face length, and roof category on the height of a WFFZ, we proposed that the proportion of hard rock in different roof ranges should be used to characterise the influence of roof category on WFFZ height. Based on data of WFFZ height and its influence index obtained from field observations, a prediction model is established for WFFZ height using a combination of a genetic algorithm and a support-vector machine. The reliability and superiority of the prediction model were verified by a comparative study and an engineering application. The results show that the main factors affecting WFFZ height in the study area are coal seam thickness, burial depth, working face length, and roof category. Compared with multiple-linear-regression and back-propagation neural-network approaches, the height-prediction model of the WFFZ based on a genetic-algorithm support-vector-machine method has higher training and prediction accuracy and is more suitable for WFFZ prediction in the mining area. Keywords Water-flowing fracture zone Roof category Proportion of hard rock Genetic algorithm Support-vector machine
1 Introduction When mining a coal seam, the roof rock will move, forming a fracture zone (Gao 1996). Fractures in this zone may provide a channel for accumulated water in the overlying aquifer, not only destroying groundwater resources in the aquifer but also causing groundwater to flow into the mine along the water-flowing fracture zone (WFFZ), threatening mine safety and production (Wu et al. 2000, 2016; Li and Li 2012; Garritty 1983; Zhang and Yang 2018; Peng and Zhang 2007). Therefore, coal scientists should pay attention not only to the prediction of
& Enke Hou [email protected] 1
Xi’an University of Science and Technology, Xi’an 710054, China
water abundance in roof aquifers but also to the prediction of WFFZ height. To date, many important results have been obtained through similar-material simulations (Lin et al. 2010; Gao and Wu 2011; Zhao et al. 2011; Sui et al. 2015; Dong et al. 2015; Zhang et al. 2018, 2017), numerical simulation experiments (Liu et al. 2018a; Wu et al. 2014; Liu et al. 2018b; Zhang et al. 2018; Meng et al. 2018; Zhu et al. 2018; Yin et al. 2016; Wu et al. 2015), theoretical analysis (Xu and Sun 2008; Shi et al. 2012; Liu et al. 2018b; Qiao et al. 2017; Yin et al. 2016), physical exploration (Yang et al. 2018), and drilling tests (Luan et al. 2010; Sui et al. 2015; Dong et al. 2015; Zhang and Peng 2005; Yin et al. 2016) for the study of
Data Loading...
