地震勘探沙漠地区风成环境系统建模
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摘要
地震勘探是开采油气资源的主要方法.在实际地震勘探中,伴随着各种随机噪声的干扰,其中,除人为噪声和工业噪声之外,风成环境噪声是其主要成分.因此,对风成环境系统的研究具有重要的科学意义和应用价值.本文以沙漠地区为例,将所在勘探地区的地形、地表和地质等条件以及勘探位置与检波器的耦合程度作为影响因子,构成风成环境系统,随机风序列视为该系统输入,初至前噪声(即背景噪声)视为该系统输出,经验证系统具有混沌性质,利用杜芬(duffing)方程对风成环境系统进行建模分析,并验证了模型的可行性,证明沙漠地区环境噪声主要是由风引起的,对现有环境噪声认识进行了补充,为以后分析噪声性质及提高消噪和去噪技术能力提供参考依据.
Seismic exploration is the main method of finding oil and gas resources. Actual seismic exploration is corrupted by a variety of random noise,of which aeolian environment noise is the major ingredient,in addition to man-made noise and industrial noise.Therefore,the study of aeolian environment system has important scientific significance and value. Studies of environmental noise in seismic exploration mostly discuss the nature,but few research on the origin. And there is almost no research on modeling and analysis of seismic exploration environment system. Results of this paper are the cause of noise environment,also preliminary study of seismic exploration environment system modeling.This paper explores the desert area and regards the terrain,surface and geological conditions,as well as the coupling degree of exploration position and detector, as the impact factors that constitute aeolian environment system. It assumes random wind sequences as the system input and background noise as the system output. It uses the duffing equation to model the aeolian environmental system that is proven with chaotic nature,and then it verifies the feasibility of the model. This paper proves that ambient noise in exploration area is mainly caused by the wind,and it supplements our existing understanding of ambient noise and provides reference for analysis of noise properties lately and improving the capabilities of noise cancellation and noise removal technology.
Seismic exploration is the main method of finding oil and gas resources. Actual seismic exploration is corrupted by a variety of random noise,of which aeolian environment noise is the major ingredient,in addition to man-made noise and industrial noise.Therefore,the study of aeolian environment system has important scientific significance and value. Studies of environmental noise in seismic exploration mostly discuss the nature,but few research on the origin. And there is almost no research on modeling and analysis of seismic exploration environment system. Results of this paper are the cause of noise environment,also preliminary study of seismic exploration environment system modeling.This paper explores the desert area and regards the terrain,surface and geological conditions,as well as the coupling degree of exploration position and detector, as the impact factors that constitute aeolian environment system. It assumes random wind sequences as the system input and background noise as the system output. It uses the duffing equation to model the aeolian environmental system that is proven with chaotic nature,and then it verifies the feasibility of the model. This paper proves that ambient noise in exploration area is mainly caused by the wind,and it supplements our existing understanding of ambient noise and provides reference for analysis of noise properties lately and improving the capabilities of noise cancellation and noise removal technology.
引文
Adas A.1997.Traffic models in broadband networks[J].IEEECommunications Magazine,35(7):82-89,doi:10.1109/35.601746.
Albarello D,Baliva F.2009.In-situ estimates of material damping from environmental noise measurements[M]//Mucciarelli M,Herak M,Cassidy J eds.Increasing Seismic Safety by Combining Engineering Technologies and Seismological Data.Netherlands:Springer.
Astiz L,Creager K.1994.Geographic and seasonal variation of microseismic noise[J].EOS,75:419.
Barajas-Olade C,Ramadan A.2011.Is it possible to conduct seismic wind noise experiments in a wind tunnel?[C]//Conference:73rd EAGE Conference and Exhibition incorporating SPE EUROPEC2011.AT Vienna,Austria:SPE.238,doi:10.3997/2214-4609.20149538.
Campillo M.2006.Phase and correlation in‘random’seismic fields and the reconstruction of the Green function[J].Pure and Applied Geophysics,163(2-3):475-502.
Chávez-García F J,Rodríguez M.2007.The correlation of microtremors:empirical limits and relations between results in frequency and time domains[J].Geophys.J.Int.,171(2):657-664.
Ferraty F,Vieu P.2006.Nonparametric Functional Data Analysis:Theory and Practice[M].New York:Springer Science&Business Media.
Hara T,Shimizu M,Iguchi K,et al.1997.Chaotic fluctuation in natural wind and its application to thermal amenity[J].Nonlinear Analysis:Theory,Methods&Applications,30(5):2803-2813,doi:10.1016/S0362-546X(97)00370-2.
Kovacic I,Brennan M J.2011.The Duffing equation:Nonlinear Oscillators and Their Behaviour[M].New York:John Wiley&Sons.
Li G H,Li Y.2016.Random noise of seismic exploration in desert modeling and its applying in noise attenuation[J].Chinese Journal of Geophysics(in Chinese),59(2):682-692,doi:10.6038/cjg20160225.
Li G H,Li Y,Yang B J.2015.Effect of wind on seismic exploration random noise on land:Modeling and Analyzing[J].Journal of Applied Geophysics,119:106-118,doi:10.1016/j.jappgeo.2015.05.013.
Li Y,Yang B J,Zhao X P,et al.2005.An algorithm of chaotic vibrator to detect weak events in seismic prospecting records[J].Chinese Journal of Geophysics(in Chinese),48(6):1428-1433.
Lin H B,Li Y,Xu X C.2011.Segmenting time-frequency peak filtering method to attenuation of seismic random noise[J].Chinese Journal of Geophysics(in Chinese),54(5):1358-1366,doi:10.3969/j.issn.0001-5733.2011.05.025.
Liu C,Wang B,Liu Y.2015.Seismic velocity analysis based on the Duffing oscillator chaotic system[J].Chinese Journal of Geophysics(in Chinese),58(6):2057-2068,doi:10.6038/cjg20150620.
Liu S D.1990.Earth system modeling and chaotic time series[J].Chinese Journal of Geophysics(in Chinese),33(2):144-153.
Ma X M,Zhang B T.2010.Weak signal detecting of gas concentration based on Duffing chaotic oscillator[C]//Proceedings of International Conference on Computer Application and System Modeling(ICCASM).Taiyuan,China:IEEE,doi:10.1109/ICCASM.2010.5619253.
Moon T K,Stirling W C.2000.Mathematical Methods and Algorithms for Signal Processing[M].Englewood Cliffs,New Jersey:Prentice Hall.
Mucciarelli M,Gallipoli M R,Di G,et al.2005.The influence of wind on measurements of seismic noise[J].Geophysical Journal International,161(2):303-308,doi:10.1111/j.1365-246X.2004.02561.x.
Sheu L J,Chen H K,Chen J H,et al.2007.Chaotic dynamics of the fractionally damped Duffing equation[J].Chaos,Solitons&Fractals,32(4):1459-1468,doi:10.1016/j.chaos.2005.11.066.
Tian Y N,Li Y,Lin H B,et al.2015.Application of GNMF wavelet spectral unmixing in seismic noise suppression[J].Chinese Journal of Geophysics(in Chinese),58(12):4568-4575,doi:10.6038/cjg20151219.
Wei W W S.1994.Time Series Analysis[M].Addison-Wesley Press.
Wither M M,Aster R C,Young C J.1996.High-frequency analysis o seismic background noise as a function of wind speed and shallow depth[J].Bulletin of the Seismological Society of America,86(5):1507-1515.
Xu Y X,Luo Y H.2015.Methods of ambient noise-based seismology and their applications[J].Chinese Journal of Geophysics(in Chinese),58(8):2618-2636,doi:10.6038/cjg20150803.
陈腾浩,马振利,韩建荣.2012.系统建模与仿真技术探讨[J].中国储运,(3):106-107.
方崇智,萧德云.1998.过程辨识[M].北京:清华大学出版社.
侯忠生.1999.非参数模型及其自适应控制理论[M].北京:科学出版社.
李光辉,李月.2016.沙漠地区地震勘探随机噪声建模及其在噪声压制中的应用[J].地球物理学报,59(2):682-692,doi:10.6038/cjg20160225.
李月,杨宝俊,赵雪平,等.2005.检测地震勘探微弱同相轴的混沌振子算法[J].地球物理学报,48(6):1428-1433.
李英民,赖明,赵青.1992.ARMA模型及参数识别技术在脉动风仿真中的应用[J].重庆建筑工程学院学报,14(3):17-24.
李英民,赖明,赵青等.1993.脉动风特性及其仿真研究[J].工程力学,10(4):117-124.
林红波,李月,徐学纯.2011.压制地震勘探随机噪声的分段时频峰值滤波方法[J].地球物理学报,54(5):1358-1366,doi:10.3969/j.issn.0001-5733.2011.05.025.
刘财,王博,刘洋.2015.基于Duffing振子混沌系统的地震速度分析方法[J].地球物理学报,58(6):2057-2068,doi:10.6038/cjg20150620.
刘式达.1990.地球系统模拟和混沌时间序列[J].地球物理学报,33(2):144-153.
彭蛟龙.2013.陆地地震勘探环境噪声混沌特性及建模研究[D].长春:吉林大学.
田雅男,李月,林红波,等.2015.GNMF小波谱分离在地震勘探噪声压制中的应用[J].地球物理学报,58(12):4568-4575,doi:10.6038/cjg20151219.
王涛.2008.系统建模方法综述[J].科技资讯,(28):34-36.
徐文令,侯旻峡,谭聪,等.2013.ARMA模型的模型识别和参数估计研究[J].电源技术应用,(5):307-308.
徐义贤,罗银河.2015.噪声地震学方法及其应用[J].地球物理学报,58(8):2618-2636,doi:10.6038/cjg20150803.
张立超.2014.勘探地震风成环境系统研究[D].长春:吉林大学.
Albarello D,Baliva F.2009.In-situ estimates of material damping from environmental noise measurements[M]//Mucciarelli M,Herak M,Cassidy J eds.Increasing Seismic Safety by Combining Engineering Technologies and Seismological Data.Netherlands:Springer.
Astiz L,Creager K.1994.Geographic and seasonal variation of microseismic noise[J].EOS,75:419.
Barajas-Olade C,Ramadan A.2011.Is it possible to conduct seismic wind noise experiments in a wind tunnel?[C]//Conference:73rd EAGE Conference and Exhibition incorporating SPE EUROPEC2011.AT Vienna,Austria:SPE.238,doi:10.3997/2214-4609.20149538.
Campillo M.2006.Phase and correlation in‘random’seismic fields and the reconstruction of the Green function[J].Pure and Applied Geophysics,163(2-3):475-502.
Chávez-García F J,Rodríguez M.2007.The correlation of microtremors:empirical limits and relations between results in frequency and time domains[J].Geophys.J.Int.,171(2):657-664.
Ferraty F,Vieu P.2006.Nonparametric Functional Data Analysis:Theory and Practice[M].New York:Springer Science&Business Media.
Hara T,Shimizu M,Iguchi K,et al.1997.Chaotic fluctuation in natural wind and its application to thermal amenity[J].Nonlinear Analysis:Theory,Methods&Applications,30(5):2803-2813,doi:10.1016/S0362-546X(97)00370-2.
Kovacic I,Brennan M J.2011.The Duffing equation:Nonlinear Oscillators and Their Behaviour[M].New York:John Wiley&Sons.
Li G H,Li Y.2016.Random noise of seismic exploration in desert modeling and its applying in noise attenuation[J].Chinese Journal of Geophysics(in Chinese),59(2):682-692,doi:10.6038/cjg20160225.
Li G H,Li Y,Yang B J.2015.Effect of wind on seismic exploration random noise on land:Modeling and Analyzing[J].Journal of Applied Geophysics,119:106-118,doi:10.1016/j.jappgeo.2015.05.013.
Li Y,Yang B J,Zhao X P,et al.2005.An algorithm of chaotic vibrator to detect weak events in seismic prospecting records[J].Chinese Journal of Geophysics(in Chinese),48(6):1428-1433.
Lin H B,Li Y,Xu X C.2011.Segmenting time-frequency peak filtering method to attenuation of seismic random noise[J].Chinese Journal of Geophysics(in Chinese),54(5):1358-1366,doi:10.3969/j.issn.0001-5733.2011.05.025.
Liu C,Wang B,Liu Y.2015.Seismic velocity analysis based on the Duffing oscillator chaotic system[J].Chinese Journal of Geophysics(in Chinese),58(6):2057-2068,doi:10.6038/cjg20150620.
Liu S D.1990.Earth system modeling and chaotic time series[J].Chinese Journal of Geophysics(in Chinese),33(2):144-153.
Ma X M,Zhang B T.2010.Weak signal detecting of gas concentration based on Duffing chaotic oscillator[C]//Proceedings of International Conference on Computer Application and System Modeling(ICCASM).Taiyuan,China:IEEE,doi:10.1109/ICCASM.2010.5619253.
Moon T K,Stirling W C.2000.Mathematical Methods and Algorithms for Signal Processing[M].Englewood Cliffs,New Jersey:Prentice Hall.
Mucciarelli M,Gallipoli M R,Di G,et al.2005.The influence of wind on measurements of seismic noise[J].Geophysical Journal International,161(2):303-308,doi:10.1111/j.1365-246X.2004.02561.x.
Sheu L J,Chen H K,Chen J H,et al.2007.Chaotic dynamics of the fractionally damped Duffing equation[J].Chaos,Solitons&Fractals,32(4):1459-1468,doi:10.1016/j.chaos.2005.11.066.
Tian Y N,Li Y,Lin H B,et al.2015.Application of GNMF wavelet spectral unmixing in seismic noise suppression[J].Chinese Journal of Geophysics(in Chinese),58(12):4568-4575,doi:10.6038/cjg20151219.
Wei W W S.1994.Time Series Analysis[M].Addison-Wesley Press.
Wither M M,Aster R C,Young C J.1996.High-frequency analysis o seismic background noise as a function of wind speed and shallow depth[J].Bulletin of the Seismological Society of America,86(5):1507-1515.
Xu Y X,Luo Y H.2015.Methods of ambient noise-based seismology and their applications[J].Chinese Journal of Geophysics(in Chinese),58(8):2618-2636,doi:10.6038/cjg20150803.
陈腾浩,马振利,韩建荣.2012.系统建模与仿真技术探讨[J].中国储运,(3):106-107.
方崇智,萧德云.1998.过程辨识[M].北京:清华大学出版社.
侯忠生.1999.非参数模型及其自适应控制理论[M].北京:科学出版社.
李光辉,李月.2016.沙漠地区地震勘探随机噪声建模及其在噪声压制中的应用[J].地球物理学报,59(2):682-692,doi:10.6038/cjg20160225.
李月,杨宝俊,赵雪平,等.2005.检测地震勘探微弱同相轴的混沌振子算法[J].地球物理学报,48(6):1428-1433.
李英民,赖明,赵青.1992.ARMA模型及参数识别技术在脉动风仿真中的应用[J].重庆建筑工程学院学报,14(3):17-24.
李英民,赖明,赵青等.1993.脉动风特性及其仿真研究[J].工程力学,10(4):117-124.
林红波,李月,徐学纯.2011.压制地震勘探随机噪声的分段时频峰值滤波方法[J].地球物理学报,54(5):1358-1366,doi:10.3969/j.issn.0001-5733.2011.05.025.
刘财,王博,刘洋.2015.基于Duffing振子混沌系统的地震速度分析方法[J].地球物理学报,58(6):2057-2068,doi:10.6038/cjg20150620.
刘式达.1990.地球系统模拟和混沌时间序列[J].地球物理学报,33(2):144-153.
彭蛟龙.2013.陆地地震勘探环境噪声混沌特性及建模研究[D].长春:吉林大学.
田雅男,李月,林红波,等.2015.GNMF小波谱分离在地震勘探噪声压制中的应用[J].地球物理学报,58(12):4568-4575,doi:10.6038/cjg20151219.
王涛.2008.系统建模方法综述[J].科技资讯,(28):34-36.
徐文令,侯旻峡,谭聪,等.2013.ARMA模型的模型识别和参数估计研究[J].电源技术应用,(5):307-308.
徐义贤,罗银河.2015.噪声地震学方法及其应用[J].地球物理学报,58(8):2618-2636,doi:10.6038/cjg20150803.
张立超.2014.勘探地震风成环境系统研究[D].长春:吉林大学.