Quantitative evaluation of structural complexity in Shengquan minefield based on improved local linear embedding algorithm

Abstract

Mine water disaster is closely related to the geological structure of the mine. A scientific evaluation of the complexity of the minefield structure can greatly contribute to mining safety. In this study, we optimized the fault impact index in the study area and proposed an improved local linear embedding (LLE) algorithm by investigating the Shengquan coal mine. We analyzed the fault formation age and connectivity between faults in the study area, combined with topology theory, and based on previous studies. The mechanical properties of faults and the influence of small faults on the strata can be combined to derive a quantitative evaluation model of the structural complexity of mines. Based on the evaluation model, the study area was divided into a simple structural area, a medium structural area, and a complex structural area. By comparing the location of water inrush points in recent years with the three-dimensional high-density electrical exploration of the 21,304 working face, the effectiveness and rationality of structural complexity zoning were determined.

Quantitative Analysis Method of spatial Distribution of Faults and Correlation Analysis of Water Inrush based on improved fractal Dimension and 3-D geological Model: A Case Study in Dafosi Coal Mine

“…In the study of linear weighted quantitative analysis of fault complexity, the selection of appropriate weight confirmation algorithms for fault characteristic parameters is the core work. Many researchers have combined subjective and objective weighting algorithms such as AHP, entropy weighting method, game theory, etc., to determine the weighting coefficients of various geometric features of faults, such as fault drop, fault plane dip, fault tilt interval, etc., and the evaluation function thus established can evaluate the complexity of fault distribution in the mine space in multiple perspectives (Zhai et al 2023;Bai et al 2022;Zhang et al 2023). However, due to the cumbersome process of selecting fault features and determining the weights, the generalisation ability of this type of method is insufficient in practical application (You et al 2021).…”