Coalbed methane concentration prediction and early-warning in fully mechanized mining face based on deep learning
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering
Reference47 articles.
1. Enhancing coalbed methane recovery with liquid CO2 fracturing in underground coal mine: from experiment to field application;Fan;Fuel,2021
2. Micro-pilot test for optimized pre-extraction boreholes and enhanced coalbed methane recovery by injection of liquid carbon dioxide in the Sangshuping coal mine;Wen;Process Saf Environ Protect,2020
3. Coalbed methane emissions and drainage methods in underground mining for mining safety and environmental benefits: a review;Zheng;Process Saf Environ Protect,2019
4. Disaster-causing mechanism and risk area classification method for composite disasters of gas explosion and coal spontaneous combustion in deep coal mining with narrow coal pillars;Tang;Process Saf Environ Protect,2019
5. Effectiveness research on the multi-player evolutionary game of coal-mine safety regulation in China based on system dynamics;Liu;Saf Sci,2019
Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Exploring the factors influencing the low temperature CO gas production characteristics of low-metamorphic coal;Fuel;2024-03
2. Quantitative prediction model and prewarning system of water yield capacity (WYC) from coal seam roof based on deep learning and joint advanced detection;Energy;2024-03
3. Fluid–Solid Coupling Characteristics of Methane-Containing Coal during Borehole Extraction of Coalbed: Numerical Modeling and Experimental Research;ACS Omega;2023-12-12
4. Theoretical and numerical study on the contribution of multi-hole arrangement to coalbed methane extraction;Energy;2023-12
5. Gas explosion early warning method in coal mines by intelligent mining system and multivariate data analysis;PLOS ONE;2023-11-02
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3