随采地震数据处理软件开发与应用
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摘要
以采煤机作为震源的回采工作面随采地震探测技术是获取精准开采地质条件、提高工作面内部地质异常体探测精度、实现无人/少人化智能开采的关键,具有广泛的应用前景。而常规的地震数据处理软件不能满足随采地震数据实时、连续不间断、大数据量等要求。通过分析随采地震探测技术的数据处理软件的需求,提出了分层、多任务的随采地震数据处理软件(SWM)的框架体系,并详细介绍了软件框架中各层、各任务的组成成分及其功能。该系统集数据管理、数据展示、数据处理和成果展示于一体,满足随采地震数据实时、连续及大数据量的需求。
The seismic while mining detection technology with coal cutter as seismic source in coal face is the key to accurately know the geological conditions of mining, improve the detection accuracy of geological anomaly structure in coal face, and realize unmanned intelligent mining or with few people. It has broad application prospects.The conventional seismic data processing software can not meet the requirements of real-time, continuous and large data volume for seismic while mining data. By analyzing the requirement of seismic while mining detection technology for data processing software(SWM), a framework of hierarchical and multi-task data processing software is proposed. The components and functions of each layer and task in the software framework are introduced in detail. The system integrates data management, data display, data processing and results display. At the same time, it can meet the needs of real-time, continuous and large amount of seismic while mining data.
The seismic while mining detection technology with coal cutter as seismic source in coal face is the key to accurately know the geological conditions of mining, improve the detection accuracy of geological anomaly structure in coal face, and realize unmanned intelligent mining or with few people. It has broad application prospects.The conventional seismic data processing software can not meet the requirements of real-time, continuous and large data volume for seismic while mining data. By analyzing the requirement of seismic while mining detection technology for data processing software(SWM), a framework of hierarchical and multi-task data processing software is proposed. The components and functions of each layer and task in the software framework are introduced in detail. The system integrates data management, data display, data processing and results display. At the same time, it can meet the needs of real-time, continuous and large amount of seismic while mining data.
引文
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[9]覃思,程建远.煤矿井下随采地震反射波勘探试验研究[J].煤炭科学技术,2015,43(1):116-119.QIN Si,CHENG Jianyuan.Experimental study on seismic while mining for underground coal mine reflection survey[J].Coal Science and Technology,2015,43(1):116-119.
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[12]许焕梅,张思荣,王锋,等.基于分层的软件系统体系结构[J].计算机工程,2003,9(20):57-59.XU Huanmei,ZHANG Sirong,WANG Feng,et al.Architechture of software system based on hierarchy[J].Computer Engineering,2003,9(20):57-59.
[13]徐冰,刘怀山,张进,等.基于分层模式的随钻地震数据处理软件系统[J].中国海洋大学学报,2014,44(8):83-88.XU Bing,LIU Huaishan,ZHANG Jin,et al.Research of SWDdata processing software architechture based on layering model[J].Periodical of Ocean University of China,2014,44(8):83-88.
[14]王保利,金丹.矿井槽波地震数据处理系统GeoCoal软件开发与应用[J].煤田地质与勘探,2019,47(1):174-180.WANG Baoli,JIN Dan.Development and application of GeoCoal for in-seam seismic data processing[J].Coal Geology&Exploration,2019,47(1):174-180.
[2]WESTMAN E C,HARAMY K Y,ROCK A D.Seismic tomography for longwall stress analysis[C]//Proceeding 2nd North American Rock Mechanics Symposium,Montreal,QC,1996:397-403.
[3]LUO X,KING A,WERKEN VAN DE M.Tomographic imaging of rock conditions ahead of mining using the shearer as a seismic source:A feasibility study[J].IEEE Transactions on Geoscience and Remote Sensing,2009,47(11):3671-3678.
[4]KING A,LUO X.Methodology for tomographic imaging ahead of mining using the shearer as a seismic source[J].Geophysics,2009,74(2):1-8.
[5]陆斌,程建远,胡继武,等.采煤机震源有效信号提取及初步应用[J].煤炭学报,2013,38(12):2202-2207.LU Bin,CHENG Jianyuan,HU Jiwu,et al.Shearer source signal extraction and preliminary application[J].Journal of China Coal Society,2013,38(12):2202-2207.
[6]LU Bin,CHENG Jianyuan,HU Jiwu,et al.Seismic features of vibration induced by mining machines and feasibility to be seismicsources[J].Procedia Earth and Planetary Science,2011,3:76-85.
[7]陆斌.基于地震干涉的回采工作面随采地震成像方法[J].煤田地质与勘探,2016,44(6):142-147.LU Bin.A Seismic while mining method of coal working-face based on seismic interferometry[J].Coal Geology&Exploration,2016,44(6):142-147.
[8]覃思.随采地震井-地联合超前探测的试验研究[J].煤田地质与勘探,2016,44(6):148-151.QIN Si.Underground-surface combined seismic while mining advance detection[J].Coal Geology&Exploration,2016,44(6):148-151.
[9]覃思,程建远.煤矿井下随采地震反射波勘探试验研究[J].煤炭科学技术,2015,43(1):116-119.QIN Si,CHENG Jianyuan.Experimental study on seismic while mining for underground coal mine reflection survey[J].Coal Science and Technology,2015,43(1):116-119.
[10]SCHUSTER G T.Seismic Interferometry[M].Cambridge:Cambridge University Press,2009.
[11]张友生.软件体系结构[M].北京:清华大学出版社,2004.
[12]许焕梅,张思荣,王锋,等.基于分层的软件系统体系结构[J].计算机工程,2003,9(20):57-59.XU Huanmei,ZHANG Sirong,WANG Feng,et al.Architechture of software system based on hierarchy[J].Computer Engineering,2003,9(20):57-59.
[13]徐冰,刘怀山,张进,等.基于分层模式的随钻地震数据处理软件系统[J].中国海洋大学学报,2014,44(8):83-88.XU Bing,LIU Huaishan,ZHANG Jin,et al.Research of SWDdata processing software architechture based on layering model[J].Periodical of Ocean University of China,2014,44(8):83-88.
[14]王保利,金丹.矿井槽波地震数据处理系统GeoCoal软件开发与应用[J].煤田地质与勘探,2019,47(1):174-180.WANG Baoli,JIN Dan.Development and application of GeoCoal for in-seam seismic data processing[J].Coal Geology&Exploration,2019,47(1):174-180.