{"title":"利用分布式声学传感对长壁工作面进行地震声学监测。","authors":"Derrick Chambers, Jeffrey Shragge","doi":"10.1785/0120220219","DOIUrl":null,"url":null,"abstract":"<p><p>Violent, dynamic failures of rockmasses in underground mines pose significant hazards to workers and operations. Over the past several decades, hardrock mines have widely adopted seismic monitoring to help address such risks. However, coal mines, particularly those employing the longwall mining method, have struggled to implement similar monitoring strategies. This is because typical longwall mines are much larger and mine more rapidly than hardrock mines. Moreover, regulations place significant restrictions on the subsurface use of electronics in coal mines due to potentially explosive atmospheres. We present a new monitoring concept that uses distributed acoustic sensing (DAS) to turn an entire longwall face into a seismoacoustic array. After exploring the acoustic response of our sensors in the laboratory, we deployed the array at an active underground longwall mine for several days. We examine 33 events recorded by both the in-mine DAS array and a surface seismic network. We observed that the array records both seismic vibrations traveling through rock and mining equipment as well as sound waves propagating in the workings. We show that waveform moveouts are clearly visible, and that the standard deviation of the audio recordings is a straightforward yet promising metric that could help quantify burst damage. Although improvements are needed before mines can routinely use this monitoring strategy, DAS-based seismoacoustic arrays may assist in understanding coal-burst mechanisms and managing associated risks in underground longwall mines as well as enable better understanding of damage associated with dynamic failures in other underground environments.</p>","PeriodicalId":15836,"journal":{"name":"Journal of Geophysical Research","volume":"109 1","pages":"1652-1663"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11117460/pdf/","citationCount":"0","resultStr":"{\"title\":\"Seismoacoustic Monitoring of a Longwall Face Using Distributed Acoustic Sensing.\",\"authors\":\"Derrick Chambers, Jeffrey Shragge\",\"doi\":\"10.1785/0120220219\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Violent, dynamic failures of rockmasses in underground mines pose significant hazards to workers and operations. Over the past several decades, hardrock mines have widely adopted seismic monitoring to help address such risks. However, coal mines, particularly those employing the longwall mining method, have struggled to implement similar monitoring strategies. This is because typical longwall mines are much larger and mine more rapidly than hardrock mines. Moreover, regulations place significant restrictions on the subsurface use of electronics in coal mines due to potentially explosive atmospheres. We present a new monitoring concept that uses distributed acoustic sensing (DAS) to turn an entire longwall face into a seismoacoustic array. After exploring the acoustic response of our sensors in the laboratory, we deployed the array at an active underground longwall mine for several days. We examine 33 events recorded by both the in-mine DAS array and a surface seismic network. We observed that the array records both seismic vibrations traveling through rock and mining equipment as well as sound waves propagating in the workings. We show that waveform moveouts are clearly visible, and that the standard deviation of the audio recordings is a straightforward yet promising metric that could help quantify burst damage. Although improvements are needed before mines can routinely use this monitoring strategy, DAS-based seismoacoustic arrays may assist in understanding coal-burst mechanisms and managing associated risks in underground longwall mines as well as enable better understanding of damage associated with dynamic failures in other underground environments.</p>\",\"PeriodicalId\":15836,\"journal\":{\"name\":\"Journal of Geophysical Research\",\"volume\":\"109 1\",\"pages\":\"1652-1663\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11117460/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Geophysical Research\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://doi.org/10.1785/0120220219\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Earth and Planetary Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Geophysical Research","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1785/0120220219","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Earth and Planetary Sciences","Score":null,"Total":0}
引用次数: 0
摘要
地下矿山岩体的剧烈动态崩塌对工人和运营造成了极大的危害。在过去的几十年里,硬岩矿山已广泛采用地震监测来帮助应对此类风险。然而,煤矿,尤其是那些采用长壁开采方法的煤矿,在实施类似的监测策略方面一直举步维艰。这是因为与硬岩煤矿相比,典型的长壁煤矿规模更大,开采速度更快。此外,由于潜在的爆炸性气体环境,相关法规对在煤矿地下使用电子设备做出了严格限制。我们提出了一种新的监测概念,即利用分布式声学传感 (DAS) 将整个长壁工作面变成一个地震声学阵列。在实验室探索了传感器的声学响应后,我们在一个活跃的地下长壁煤矿部署了该阵列数天。我们检查了矿井内 DAS 阵列和地面地震网络记录的 33 个事件。我们观察到,阵列既记录了穿过岩石和采矿设备的地震振动,也记录了在工作区传播的声波。我们的研究表明,波形移动清晰可见,音频记录的标准偏差是一个简单而有前途的指标,有助于量化爆破破坏情况。虽然在矿井常规使用这种监测策略之前还需要改进,但基于 DAS 的地震声阵列可能有助于了解煤爆机制和管理地下长壁矿井的相关风险,并能更好地了解其他地下环境中与动态故障相关的损害。
Seismoacoustic Monitoring of a Longwall Face Using Distributed Acoustic Sensing.
Violent, dynamic failures of rockmasses in underground mines pose significant hazards to workers and operations. Over the past several decades, hardrock mines have widely adopted seismic monitoring to help address such risks. However, coal mines, particularly those employing the longwall mining method, have struggled to implement similar monitoring strategies. This is because typical longwall mines are much larger and mine more rapidly than hardrock mines. Moreover, regulations place significant restrictions on the subsurface use of electronics in coal mines due to potentially explosive atmospheres. We present a new monitoring concept that uses distributed acoustic sensing (DAS) to turn an entire longwall face into a seismoacoustic array. After exploring the acoustic response of our sensors in the laboratory, we deployed the array at an active underground longwall mine for several days. We examine 33 events recorded by both the in-mine DAS array and a surface seismic network. We observed that the array records both seismic vibrations traveling through rock and mining equipment as well as sound waves propagating in the workings. We show that waveform moveouts are clearly visible, and that the standard deviation of the audio recordings is a straightforward yet promising metric that could help quantify burst damage. Although improvements are needed before mines can routinely use this monitoring strategy, DAS-based seismoacoustic arrays may assist in understanding coal-burst mechanisms and managing associated risks in underground longwall mines as well as enable better understanding of damage associated with dynamic failures in other underground environments.
期刊介绍:
Journal of Geophysical Research (JGR) publishes original scientific research on the physical, chemical, and biological processes that contribute to the understanding of the Earth, Sun, and solar system and all of their environments and components. JGR is currently organized into seven disciplinary sections (Atmospheres, Biogeosciences, Earth Surface, Oceans, Planets, Solid Earth, Space Physics). Sections may be added or combined in response to changes in the science.