Editorial: Instability mechanisms and disaster prevention of coal and rock in deep underground space

• Published in: Frontiers in environmental science Vol. 12
• Main Authors: Liu, Yubing, Zhang, Yihuai, Zhang, Chaolin, Feng, Runhua
• Format: Journal Article
• Language: English
• Published: Lausanne Frontiers Research Foundation 20.05.2024; Frontiers Media S.A
• Subjects: Accuracy; Analytic hierarchy process; Carboniferous; Cluster analysis; Clusters; Coal; coal and rock; Comparative analysis; Conflicts of interest; disaster prevention; Disasters; Drilling; dynamic disaster; Editing; Editorials; Emergency preparedness; Energy consumption; Engineering; experimental coal and rock testing; Gases; instability mechanism; Mathematical models; Mechanical properties; Mineral reserves; monitoring and early warning; Natural gas; Natural gas reserves; Neural networks; Potential resources; Prediction models; Prevention; Remote sensing; Reserves; Rock; Rocks; Simulation; Software; Unmanned aerial vehicles; Ventilation; Writing; China
• ISSN: 2296-665X; 2296-665X
• DOI: 10.3389/fenvs.2024.1416038

The development and utilization of natural gas reserves in the underground space have been discussed by Zhang K. et al. in their work “Cluster analysis of carboniferous gas reservoirs and application of a recovery prediction model.” To address the current research problems on natural gas reserves, such as the lack of comparative analysis of multiple neural network architectures and a comprehensive evaluation of research, Zhan et al. utilized cluster analysis and the analytic hierarchy process (AHP) to determine the influencing factors of gas reserves. Through the mechanical balance of the drill, an analytical model was established and a method for predicting the rock friction angle was proposed based on the relationship between the parameters. [...]a new method for determining rock strength was introduced, which relies on the rock cutting strength ratio and two strength fitting formulas.