Siyu Miao , Guanwen Cheng , Haijiang Zhang , Yuqi Huang , Ning Gu , Huasheng Zha , Ji Gao
{"title":"通过对煤矿井下低频信号的探测与定位,有效识别煤层气富集区","authors":"Siyu Miao , Guanwen Cheng , Haijiang Zhang , Yuqi Huang , Ning Gu , Huasheng Zha , Ji Gao","doi":"10.1016/j.ghm.2022.12.003","DOIUrl":null,"url":null,"abstract":"<div><p>Low-frequency signals have been widely found in the conventional oil/gas field and volcanic region as well as during hydraulic fracturing of unconventional oil/gas reservoirs. Their generation mechanism has been ascribed to the flow of gas/fluid in the fractures, which can induce the Krauklis wave around fractures and can further excite low-frequency seismic body wave signals at diffraction points. Thus, it is theoretically feasible to determine the gas/fluid enrichment areas and migration pathways by locating the low-frequency signals. Here we have utilized a surface dense seismic array deployed above the Sijiazhuang coal mine in Shanxi province to detect and locate such low-frequency signals that are dominant in the frequency range of 1.5–4.0 Hz. Waveform migration-based location method is employed to locate these signals that have low signal to noise ratios. We further compare the distribution of low-frequency signals and coalbed methane concentrations that are estimated based on ambient noise tomography result with the same seismic array. The spatial consistency between low-frequency signals and coalbed methane enrichment areas suggests that detecting and locating low-frequency signals with a surface seismic array is an efficient way to identify gas enrichment areas and potential gas migration pathways.</p></div>","PeriodicalId":100580,"journal":{"name":"Geohazard Mechanics","volume":"1 1","pages":"Pages 86-93"},"PeriodicalIF":0.0000,"publicationDate":"2023-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Efficiently identifying coalbed methane enrichment areas by detecting and locating low-frequency signals in the coal mine\",\"authors\":\"Siyu Miao , Guanwen Cheng , Haijiang Zhang , Yuqi Huang , Ning Gu , Huasheng Zha , Ji Gao\",\"doi\":\"10.1016/j.ghm.2022.12.003\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Low-frequency signals have been widely found in the conventional oil/gas field and volcanic region as well as during hydraulic fracturing of unconventional oil/gas reservoirs. Their generation mechanism has been ascribed to the flow of gas/fluid in the fractures, which can induce the Krauklis wave around fractures and can further excite low-frequency seismic body wave signals at diffraction points. Thus, it is theoretically feasible to determine the gas/fluid enrichment areas and migration pathways by locating the low-frequency signals. Here we have utilized a surface dense seismic array deployed above the Sijiazhuang coal mine in Shanxi province to detect and locate such low-frequency signals that are dominant in the frequency range of 1.5–4.0 Hz. Waveform migration-based location method is employed to locate these signals that have low signal to noise ratios. We further compare the distribution of low-frequency signals and coalbed methane concentrations that are estimated based on ambient noise tomography result with the same seismic array. The spatial consistency between low-frequency signals and coalbed methane enrichment areas suggests that detecting and locating low-frequency signals with a surface seismic array is an efficient way to identify gas enrichment areas and potential gas migration pathways.</p></div>\",\"PeriodicalId\":100580,\"journal\":{\"name\":\"Geohazard Mechanics\",\"volume\":\"1 1\",\"pages\":\"Pages 86-93\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geohazard Mechanics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2949741822000097\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geohazard Mechanics","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2949741822000097","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficiently identifying coalbed methane enrichment areas by detecting and locating low-frequency signals in the coal mine
Low-frequency signals have been widely found in the conventional oil/gas field and volcanic region as well as during hydraulic fracturing of unconventional oil/gas reservoirs. Their generation mechanism has been ascribed to the flow of gas/fluid in the fractures, which can induce the Krauklis wave around fractures and can further excite low-frequency seismic body wave signals at diffraction points. Thus, it is theoretically feasible to determine the gas/fluid enrichment areas and migration pathways by locating the low-frequency signals. Here we have utilized a surface dense seismic array deployed above the Sijiazhuang coal mine in Shanxi province to detect and locate such low-frequency signals that are dominant in the frequency range of 1.5–4.0 Hz. Waveform migration-based location method is employed to locate these signals that have low signal to noise ratios. We further compare the distribution of low-frequency signals and coalbed methane concentrations that are estimated based on ambient noise tomography result with the same seismic array. The spatial consistency between low-frequency signals and coalbed methane enrichment areas suggests that detecting and locating low-frequency signals with a surface seismic array is an efficient way to identify gas enrichment areas and potential gas migration pathways.