多极子阵列声波测井数据的纵横波慢度联合反演方法
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摘要
多极子阵列声波测井仪器采集的单极和偶极数据受到地层、井孔、仪器测量系统的影响.在处理实际声波测井数据时,必须考虑多极子模式波的频散效应,以及测井仪器在其中的影响.根据仪器等效理论和相位匹配方法,本文提出了一种从多极子阵列声波测井数据中同时获得纵、横波慢度的联合反演方法.这种方法的关键在于利用相同仪器-地层模型计算多极子模式波频散曲线,以此来匹配频域内纵波与横波数据的相位.相对于将泄漏纵波和弯曲波频散效应分开处理的其他方法,该方法不仅可以减少纵横波速度反演的不确定性,而且还避免了从声波数据中提取频散数据的繁琐过程.通过理论分析和现场数据处理证明了本文联合反演方法的准确性和有效性.
Monopole and dipole waves acquired by the multipole acoustic array logging tools are jointly affected by formation and borehole-tool system.When processing real acoustic logging data,the dispersion effect of multipole acoustic waves must be considered and the influence of logging tools cannot be neglected.Based on the equivalent tool theory and phase matching method,we develop ajoint inversion method to simultaneously calculate compressional(P)and shear(S)wave slowness using the multipole logging data.The key in this inversion is using the multipole wave phase dispersion curves computed from the same tool-formation model to match the phase of the P-and S-wave data in the frequency domain.Compared with other individual dispersion processing methods for leaky-P or flexural wave data,this inversion method can not only reduce the uncertainties of P-and S-wave velocities estimation,but also avoid tedious dispersion extraction from acoustic logging data.Theoretical analyses and field data processing results demonstrate the validity and effectiveness of this new method.
Monopole and dipole waves acquired by the multipole acoustic array logging tools are jointly affected by formation and borehole-tool system.When processing real acoustic logging data,the dispersion effect of multipole acoustic waves must be considered and the influence of logging tools cannot be neglected.Based on the equivalent tool theory and phase matching method,we develop ajoint inversion method to simultaneously calculate compressional(P)and shear(S)wave slowness using the multipole logging data.The key in this inversion is using the multipole wave phase dispersion curves computed from the same tool-formation model to match the phase of the P-and S-wave data in the frequency domain.Compared with other individual dispersion processing methods for leaky-P or flexural wave data,this inversion method can not only reduce the uncertainties of P-and S-wave velocities estimation,but also avoid tedious dispersion extraction from acoustic logging data.Theoretical analyses and field data processing results demonstrate the validity and effectiveness of this new method.
引文
Chen S T,Willen D E.1984.Shear Wave Logging In Slow Formations.Society of Petrophysicists and Well-Log Analysts.
Geerits T W,Tang X M.2003.Centroid phase slowness as a tool for dispersion correction of dipole acoustic logging data.Geophysics,68(1):101-107,doi:10.1190/1.1543197.
Hornby B E,Pasternack E S.2000.Analysis of full-waveform sonic data acquired in unconsolidated gas sands.Petrophysics,41(5):363-374.
Huang X J,Yin H Z.2005.A data-driven approach to extract shear and compressional slowness from dispersive waveform data.∥75th Ann.Internat Mtg.,Soc.Expi.Geophys..Expanded Abstracts,384-387,doi:10.1190/1.2144349.
Kimball C V.1998.Shear slowness measurement by dispersive processing of the borehole flexural mode.Geophysics,63(2):337-344,doi:10.1190/1.1444333.
Kong F T,Zhuang C X,Su Y D,et al.2017.A data-driven dispersive processing of LWD quadrupole wave data.Chinese Journal of Geophysics(in Chinese),60(12):4938-4944,doi:10.6038/cjg20171232.
Lee S Q,Tang X M,Su Y D,et al.2016.Model-based dispersive processing of borehole dipole wave data using an equivalenttool theory.Geophysics,81(1):D35-D43,doi:10.1190/geo2015-0210.1.
Press W H,Flannery B P,Teukolsky S A,et al.1992.Numerical Recipes in C:the art of Scientific Computing.Cambridge:Press Syndicate of the University of Cambridge.
Sinha B K,Ikegami T,Johnson D L,et al.2009.Use of an effective tool model in sonic logging data processing:U.S.Patent,7529152.
Su Y D,Tang X M,Hei C,et al.2011.An equivalent-tool theory for acoustic logging and applications.Applied Geophysics,8(1):69-78,doi:10.1007/s11770-011-0272-6.
Su Y D,Jiang C,Zhuang C X,et al.2016.Joint inversion of logging-while-drilling multipole acoustic data to determine P-and S-wave velocities in unconsolidated slow formations.Geophysics,81(5):D553-D560,doi:10.1190/geo2016-0133.1.
Tang X M,Reiter E C,Burns D R.1995.A dispersive-wave processing technique for estimating formation shear velocity from dipole and Stoneley waveforms.Geophysics,60(1):19-28,doi:10.1190/1.1443747.
Tang X M,Zheng C H.2004.Quantitative Borehole Acoustic Methods(in Chinese).Zhao X M trans.Beijing:Petroleum Industry Press.
Tang X M,Li C,Patterson D.2010.A curve-fitting technique for determining dispersion characteristics of guided elastic waves.Geophysics,75(3):E153-E160,doi:10.1190/1.3420736.
White J E.1983.Underground Sound,Application of Seismic Waves.Amsterdam:Elsevier Science Publishing Company Inc.
Zheng Y B,Huang X J,Tang X M,et al.2006.Application of a new data-driven processing method to LWD and wireline dispersive compressional and shear waveform data.∥76th Ann.Internat Mtg.,Soc.Expi.Geophys..Expanded Abstracts,doi:10.2118/103328-MS.
孔凡童,庄春喜,苏远大等.2017.随钻四极横波测量的数据驱动频散处理方法.地球物理学报,60(12):4938-4944,doi:10.6038/cjg20171232.
唐晓明,郑传汉.2004.定量测井声学.赵晓敏译.北京:石油工业出版社.
Geerits T W,Tang X M.2003.Centroid phase slowness as a tool for dispersion correction of dipole acoustic logging data.Geophysics,68(1):101-107,doi:10.1190/1.1543197.
Hornby B E,Pasternack E S.2000.Analysis of full-waveform sonic data acquired in unconsolidated gas sands.Petrophysics,41(5):363-374.
Huang X J,Yin H Z.2005.A data-driven approach to extract shear and compressional slowness from dispersive waveform data.∥75th Ann.Internat Mtg.,Soc.Expi.Geophys..Expanded Abstracts,384-387,doi:10.1190/1.2144349.
Kimball C V.1998.Shear slowness measurement by dispersive processing of the borehole flexural mode.Geophysics,63(2):337-344,doi:10.1190/1.1444333.
Kong F T,Zhuang C X,Su Y D,et al.2017.A data-driven dispersive processing of LWD quadrupole wave data.Chinese Journal of Geophysics(in Chinese),60(12):4938-4944,doi:10.6038/cjg20171232.
Lee S Q,Tang X M,Su Y D,et al.2016.Model-based dispersive processing of borehole dipole wave data using an equivalenttool theory.Geophysics,81(1):D35-D43,doi:10.1190/geo2015-0210.1.
Press W H,Flannery B P,Teukolsky S A,et al.1992.Numerical Recipes in C:the art of Scientific Computing.Cambridge:Press Syndicate of the University of Cambridge.
Sinha B K,Ikegami T,Johnson D L,et al.2009.Use of an effective tool model in sonic logging data processing:U.S.Patent,7529152.
Su Y D,Tang X M,Hei C,et al.2011.An equivalent-tool theory for acoustic logging and applications.Applied Geophysics,8(1):69-78,doi:10.1007/s11770-011-0272-6.
Su Y D,Jiang C,Zhuang C X,et al.2016.Joint inversion of logging-while-drilling multipole acoustic data to determine P-and S-wave velocities in unconsolidated slow formations.Geophysics,81(5):D553-D560,doi:10.1190/geo2016-0133.1.
Tang X M,Reiter E C,Burns D R.1995.A dispersive-wave processing technique for estimating formation shear velocity from dipole and Stoneley waveforms.Geophysics,60(1):19-28,doi:10.1190/1.1443747.
Tang X M,Zheng C H.2004.Quantitative Borehole Acoustic Methods(in Chinese).Zhao X M trans.Beijing:Petroleum Industry Press.
Tang X M,Li C,Patterson D.2010.A curve-fitting technique for determining dispersion characteristics of guided elastic waves.Geophysics,75(3):E153-E160,doi:10.1190/1.3420736.
White J E.1983.Underground Sound,Application of Seismic Waves.Amsterdam:Elsevier Science Publishing Company Inc.
Zheng Y B,Huang X J,Tang X M,et al.2006.Application of a new data-driven processing method to LWD and wireline dispersive compressional and shear waveform data.∥76th Ann.Internat Mtg.,Soc.Expi.Geophys..Expanded Abstracts,doi:10.2118/103328-MS.
孔凡童,庄春喜,苏远大等.2017.随钻四极横波测量的数据驱动频散处理方法.地球物理学报,60(12):4938-4944,doi:10.6038/cjg20171232.
唐晓明,郑传汉.2004.定量测井声学.赵晓敏译.北京:石油工业出版社.