| 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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| 引用本文： | 江灿,庄春喜,李盛清,苏远大,唐晓明.多极子阵列声波测井数据的纵横波慢度联合反演方法[J].地球物理学报,2019,62(6):2294-2302. |
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| 作者姓名： | 江灿 庄春喜 李盛清 苏远大 唐晓明 |
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| 作者单位： | 中国石油大学(华东)地球科学与技术学院, 山东青岛 266580 |
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| 基金项目： | 中国科学院战略性先导科技专项（XDA14020304），山东自然科学基金（ZR2014DL009），中央高校基本科研业务费专项资金（17CX06035）资助. |
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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.
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| 关 键 词： | 泄漏纵波 弯曲波 仪器等效理论 相位匹配 频散效应 |
| 收稿时间： | 2017-11-20 |
Joint inversion for compressional and shear wave slowness using multipole acoustic array logging data |
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| JIANG Can,ZHUANG ChunXi,LI ShengQing,SU YuanDa,TANG XiaoMing.Joint inversion for compressional and shear wave slowness using multipole acoustic array logging data[J].Chinese Journal of Geophysics,2019,62(6):2294-2302. |
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| Authors: | JIANG Can ZHUANG ChunXi LI ShengQing SU YuanDa TANG XiaoMing |
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| Institution: | School of Geosciences, China University of Petroleum, Qingdao Shandong 266580, China |
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| Abstract: | 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 a joint 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. |
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| Keywords: | Leaky-P wave Flexural wave Equivalent-tool theory Phase matching Dispersion effect |
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