矿山深部动态模拟与预测方法研究
Research on Dynamic Simulation and Prediction Methods for Deep Mining
李春云1
作者信息
- 1. 青海省第六地质勘查院,青海 格尔木 816000;青海省金矿资源开发工程技术研究中心,都兰金辉矿业有限公司,青海 都兰 816100
- 折叠
摘要
矿山深部开采面临着诸多挑战,其中之一便是复杂的地质环境和不断变化的工程条件,对矿山的稳定性和安全性产生了显著影响.为了有效应对这些挑战,深入研究矿山深部动态模拟与预测方法显得尤为重要.本文探讨了当前在矿山深部环境动态模拟与预测领域的最新技术和方法,旨在为矿山工程师和研究人员提供实用的指导框架.
Abstract
Deep mining faces many challenges,one of which is the complex geological environment and constantly changing engineering conditions,which have a significant impact on the stability and safety of mines.In order to effectively address these challenges,it is particularly important to conduct in-depth research on deep dynamic simulation and prediction methods in mines.This article explores the latest technologies and methods in the field of dynamic simulation and prediction of deep mining environments,aiming to provide a practical guidance framework for mining engineers and researchers.
关键词
矿山/深部环境/动态模拟/预测方法Key words
mining/Deep environment/Dynamic simulation/Prediction methods引用本文复制引用
出版年
2024
国家科技期刊平台
NSTL
万方数据