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多分量地震数据处理技术研究现状

A review of the multi-component seismic data processing

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【作者】 孙歧峰杜启振

【Author】 Sun Qifeng1,2,Du Qizhen2(1.College of Computer and Communication Engineering,China University of Petroleum,Dongying 257061,China;2.College of Geo-Resources and Information,China University of Petroleum,Dongying 257061,China)

【机构】 中国石油大学(华东)计算机与通信工程学院中国石油大学(华东)资源与信息学院

【摘要】 多波多分量地震勘探技术综合利用纵波和横波信号进行勘探。多分量地震资料处理技术以弹性波理论为基础,依据资料处理流程不同,可以将其分为两类:①基于标量波波场理论的波场分离多分量处理技术,该技术已经形成了较完善的处理流程并进入实用阶段,其中主要包括波场分离、横波静校正、转换横波速度分析及转换横波偏移成像等核心技术。②基于矢量波波场理论的多波联合处理技术,该技术具有较好的理论基础,能够更好地保持地震数据的原始信息,但目前尚处于研究和实验阶段,与其相配套的相关技术仍不完善,对于多分量地震实际资料的处理没有形成完整的处理流程。多波多分量技术是解决目前复杂油气藏勘探的有效手段,是地震勘探发展的必然趋势。

【Abstract】 Multi-wave and multi-component seismic exploration can fully utilize the signals of P-wave and S-wave.The technology of multi-component seismic data processing is based on the theory of elastic wave.According to processing steps,it can be classified into two kinds of techniques:(1) The wave field separation processing technology based on the scalar wave field theory.It has formed complete processing steps and can be used into practice,with core technologies of decomposition of multi-wave field,static correction of converted wave,velocity analysis of converted wave,migration of converted wave,etc.(2) The multi-component joint processing technology based on the vector wave field theory.It has a better theoretical foundation and can well maintain the original information of seismic data.But it is still in the research and experimental stage,and cannot form a complete processing flow to meet the need of processing of actual multi-component seismic data.The related technologies still need improvement and development.Multi-wave multi-component technology is the effective solution for solving complex geological and geophysical problems and is the development trend of seismic exploration.

【基金】 新世纪优秀人才支持计划(NCET-07-0845);国家“863”计划项目(2006AA06Z202);中国石油天然气集团公司物探重点实验室开放基金(GPKL0802)
  • 【文献出处】 石油勘探与开发 ,Petroleum Exploration and Development , 编辑部邮箱 ,2011年01期
  • 【分类号】P631.4
  • 【被引频次】21
  • 【下载频次】773
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