石油学报 ›› 1997, Vol. 18 ›› Issue (4): 43-48.DOI: 10.7623/syxb199704008

• 地质勘探 • 上一篇    下一篇

合成声波测井及在储层研究中的应用

殷积峰, 刘颖   

  1. 石油勘探开发科学研究院 北京
  • 收稿日期:1997-02-24 出版日期:1997-10-25 发布日期:2013-07-08
  • 作者简介:殷积峰,1992年毕业于石油大学(北京)地球科学系,现为石油勘探开发科学研究院地球物理研究所工程师,通讯处:北京910信箱地球物理所,邮政编码:100083

SYNTHETIC SONIC LOGS AND ITS APPLICATION IN RESERVOIR RESEARCH

Yin Jifeng, Liu Ying   

  1. Scientific Research Institute of Petroleum Exploration and Development, Beijing
  • Received:1997-02-24 Online:1997-10-25 Published:2013-07-08

摘要: 从地震道提取出来的速度是重要的岩性参数,方法是把从声波测井模拟合成地震道所用的方法顺序颠倒过来,从地震道提取声波测井信息的技术称之为合成声波测井技术.野外地震数据经过宽带子波处理,得到反射系数的合理近似值,然后做密度校正,反演模型,并经适当标定,得到高频速度系数,再进行低频信息补偿,最终得到合成声波测井曲线.合成声波测井是一种先进的地震反演技术,它将界面型反射地震剖面转换成岩层型声波测井剖面,信息表现成声波测井形式就可反映各个岩性单元,能直接与其他地质信息连接对比,由井外推,以岩层为单元进行研究,可对储层的空间位置、厚度和物性做出横向预测,优化储层评价,提高油气田勘探开发效益.

关键词: 合成声波测井, 反褶积, 相位校正, 低频模型, 层位标定, 储层研究

Abstract: Velocity is an important lithologic parameter,which can be extracted from seismic traces by reversing the procedure used to model synthetic seismic traces from sonic logs.The technique of extracting sonic log information from seismic traces is called synthetic sonic logs.The field seismic data are broad band wavelet processed to a reasonable approximation of reflection coefficients,corrected for density,reverse modeled,and suitable scaled,the result of higher frequency velocity coefficients can be used to modulate the lower frequency information derived from velocity data to produce a synthetic sonic log.Synthetic sonic logs is an advanced technique of seismic inversion,it converses velocity boundaries of the seismic trace to lithologic layers of the sonic logs.The sonic log form of information maps individual lithologic units as they appear on the sonic logs,making the data more readily comparable to other geologic information.From well to exterior field,the space location,isopach and physical properties of reservoir can be predicted based on the research of lithogic units.Thus,optimizing reservoir evaluation would enhance the efficiency of exploration and development in oil and gas field.

Key words: synthetic sonic logs, deconvolution, phase calibration, lower frequency model, layer identification, reservoir research