Retraction Notice: Composite Advanced Detection for Coal Seam Thickness in Coal Roadway

Wang Bo, Z. Xiayang, Li Shengdong, Lu Tuo, Chen Mu-lan
{"title":"Retraction Notice: Composite Advanced Detection for Coal Seam Thickness in Coal Roadway","authors":"Wang Bo, Z. Xiayang, Li Shengdong, Lu Tuo, Chen Mu-lan","doi":"10.2174/1874834101609010324","DOIUrl":null,"url":null,"abstract":"The thickness change of coal seam can be resulted from several reasons, like primary sedimentary environment and later tectonic deformation. The thickness change ahead of driving face may have an impact on the efficiency and safety of the mining progress, thus the advanced prediction of seam thickness is important. However, it is hard to predict the seam thickness with a single advanced detection method. This paper combines three methods, e.g., MSP, MRP, and MTEM to perform a joint detection, and makes data fusion through wavelet analysis, which makes use of the elastic wave field and geo-electrical field characteristics. A field test indicates that the prediction of seam thickness by means of integrated advanced detection is approximately accurate with an error less than 5%.","PeriodicalId":377053,"journal":{"name":"The Open Petroleum Engineering Journal","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The Open Petroleum Engineering Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2174/1874834101609010324","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The thickness change of coal seam can be resulted from several reasons, like primary sedimentary environment and later tectonic deformation. The thickness change ahead of driving face may have an impact on the efficiency and safety of the mining progress, thus the advanced prediction of seam thickness is important. However, it is hard to predict the seam thickness with a single advanced detection method. This paper combines three methods, e.g., MSP, MRP, and MTEM to perform a joint detection, and makes data fusion through wavelet analysis, which makes use of the elastic wave field and geo-electrical field characteristics. A field test indicates that the prediction of seam thickness by means of integrated advanced detection is approximately accurate with an error less than 5%.
回撤通知:煤巷煤层厚度复合超前探测
煤层厚度的变化是由原始沉积环境和后期构造变形等因素引起的。掘进工作面前方的厚度变化会影响到采矿的效率和安全,因此提前预测煤层厚度具有重要意义。然而,单靠一种先进的探测方法很难预测煤层厚度。本文结合MSP、MRP、MTEM三种方法进行联合探测,并利用弹性波场和地电场特征,通过小波分析进行数据融合。现场试验表明,采用综合超前探测方法预测煤层厚度具有较好的精度,误差小于5%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信