Metoda przewidywania osiadań powierzchni spowodowanych eksploatacją podziemną: przegląd

Huy Dinh NGUYEN; Trong Dinh TRAN; Canh Van LE; Stanisław Pietrzyk

doi:10.29227/IM-2024-01-91

Huy Dinh NGUYEN Faculty of Bridges and Roads, 55 Giai Phong Street, Hanoi University of Civil Engineering, Hanoi, Vietnam https://orcid.org/0000-0002-2049-3338
Trong Dinh TRAN Faculty of Bridges and Roads, 55 Giai Phong Street, Hanoi University of Civil Engineering, Hanoi, Vietnam https://orcid.org/0000-0002-3838-9950
Canh Van LE Faculty of Geomatics and Land Administration, 18 Vien Street, Hanoi University of Mining and Geology, Hanoi, Vietnam https://orcid.org/0000-0002-8113-9949
Stanisław Pietrzyk AGH https://orcid.org/0000-0002-2240-3332

DOI: https://doi.org/10.29227/IM-2024-01-91

Keywords: subsidence prediction, underground mining, artificial neural networks

Abstract

In recent years, there has been a global increase in energy demand, with the extraction of underground mineral energy sources such
as coal playing a significant role in the energy supply. However, the extraction of these natural resources always faces many challenges
and risks. This process has created large voids, causing an imbalance in the original stress state within the earth and resulting in surface
terrain deformations. Therefore, ensuring efficient extraction must be accompanied by safety measures. Among these, predicting surface
subsidence due to underground mining is a crucial task. This paper presents an overview of the current method of predicting mining
subsidence and their application scope. The result synthesizes various methodologies applied to different regions worldwide. Finally,
the findings of this research can provide guidelines for establishing essential requirements for the application of surface displacement
forecasting technologies due to underground mining.

Method of Predicting Surface Subsidence Caused by Underground Mining: A Review

Abstract