地球物理学进展 ›› 2013, Vol. 28 ›› Issue (6): 3001-3006.doi: 10.6038/pg20130622

• 应用地球物理 • 上一篇    下一篇

双复杂条件下层析速度反演方法研究

张凯, 李振春   

  1. 中国石油大学(华东)地球科学与技术学院, 青岛 266580
  • 收稿日期:2012-08-10 修回日期:2012-12-10 出版日期:2013-12-20 发布日期:2013-12-20
  • 作者简介:张凯,男,1978年生,理学博士,中国石油大学(华东)地球科学与技术学院教师,主要从事地震成像与速度反演、全波形反演方面的研究.(E-mail:zhksam@163.com)
  • 基金资助:
    论文由国家自然科学基金青年基金项目(41204086)、中国石油大学自主创新科研计划资助项目(13CX02041A)、教育部博士点基金项目(20110133120001)、国家863课题(2011AA060301)和国家科技重大专项(2011ZX05006-002)联合资助.

Tomographic velocity inversion method with dual-complexity

ZHANG Kai, LI Zhen-chun   

  1. School of Geosciences, China University of Petroleum, Qingdao 266580, China
  • Received:2012-08-10 Revised:2012-12-10 Online:2013-12-20 Published:2013-12-20

摘要: 地表复杂、地下陡倾构造、极深层目标反射体、复杂储层是碳酸盐岩地震勘探的难点问题.这些特点使得基于水平层状介质假设、适合于碎屑岩的常规处理方法精度有限.叠前深度偏移成像是改善海相碳酸岩地区地震资料质量和提高深层复杂构造与岩性成像精度的最有效的方法.为了能够得到高质量的成像结果,需要有与之相对应的速度反演方法.对于双复杂碳酸盐岩地区,基于静校正的常速替代方法后再进行叠前偏移速度分析精度有限.本文提出的基于双复杂条件的层析速度反演方法是常规走时层析方法的改进,不需要对数据进行静校正处理,从复杂地表直接对碳酸盐岩目标层的速度场更新,从而提高层析速度反演的精度与效率.本文首先介绍了基于高斯束偏移的角度域共成像点道集的提取方法,以此为基础介绍了双复杂条件层析速度反演方法.通过模型和实际资料的试算验证了本文方法的正确性与有效性.

Abstract: The exploration for carbonate rock area has the characters of complex surface, steep dip structures, deep target layer and complex reservoir, which make it difficult to process data using conventional methods suited for horizontal layered media and clastic rock media. Pre-stack depth migration method is an effective method to improve imaging quality of carbonate rock data and raise the precision of deep complex structure and lithology imaging. While, high quality migration methods depend on high precision velocity inversion methods. For complex carbonate rock area, the methods of statics plus pre-stack depth migration velocity analysis have limitation in precision. This paper proposes a method of tomographic velocity inversion with dual-complexity, which is the improvement of conventional travel-time tomographic method. This method could update velocity to carbonate rock target layer from complex surface and need not do statics in pre-stack data. Through this method, we can improve the precision and efficiency of velocity inversion. This paper introduces the method to acquire angle-domain common imaging gathers (ADCIGs) on complex surface Gaussian beam migration method on which to perform the tomographic velocity inversion. The tests to model data and field data prove the method to be correct and effective.

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