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海南特殊地理环境下的地震资料处理技术研究
引用本文:赵建章,张进铎,赖江德,蔡东地,杨广琴.海南特殊地理环境下的地震资料处理技术研究[J].勘探地球物理进展,2008,31(3):201-205.
作者姓名:赵建章  张进铎  赖江德  蔡东地  杨广琴
作者单位:中国石油集团东方地球物理勘探有限责任公司研究院,河北涿州,072750
摘    要:海南福山凹陷地理环境特殊,属于陆地与浅海过渡区域,其地表条件及地质条件复杂多样,由此导致了地震资料品质差、分辨率低。通过开展地震资料处理技术研究与应用,处理后的资料效果令人满意。关键的处理技术包括微测井积分法静校正技术、匹配滤波法子波整形技术以及交互减去法压制多次波技术。针对海南特殊地理地表条件,在大炮初至、折射法静校正和层析法静校正等常规静校正技术无法发挥作用的情况下,开发研制的微测井积分法静校正技术较好地解决了静校正问题,使得有效反射的连续性得到明显的改善。在对主要的地震资料一致性处理方法优缺点对比的基础上,采用匹配滤波法子波整形技术消除了不同接收条件下的地震信号的不一致性。研究区内浅表层火成岩的存在,导致了多次波异常发育,采用交互减去法压制多次波技术后,消除了多次波干扰,有效地保护了一次有效反射信号

关 键 词:静校正  子波整形  多次波压制  信噪比  资料品质
收稿时间:2007-12-19
修稿时间:2008-1-28

Processing of seismic data from Hainan Island
Zhao Jianzhang,Zhang Jinduo,Lai Jiangde,Cai Dongdi,Yang Guangqin.Processing of seismic data from Hainan Island[J].Progress in Exploration Geophysics,2008,31(3):201-205.
Authors:Zhao Jianzhang  Zhang Jinduo  Lai Jiangde  Cai Dongdi  Yang Guangqin
Affiliation:Geophysical Research Institute, BGP, CNPC, Zhuozhou 072751, China
Abstract:Fushan sag,Hainan Island is special in geography.It is located in the transition area of land and shallow sea,featuring complex surface and subsurface conditions.The data acquired from the sag are poor in quality and low in resolution.Object-oriented data processing study has been carried out,and a suite of techniques has been developed.The techniques mainly include uphole integral static correction,matched filtering wavelet shaping,and interactive multiple removal.The uphole integral static correction was developed to replace commonly used static correction methods such as shooting first break,refraction statics,and tomographic statics to improve the continuity of reflections.The matched filtering wavelet shaping is used to remove the disagreement of seismic signatures acquired in different receiving conditions.Multiples are well developed due to the presence of igneous rocks in shallow formation.Interactive multiple removal is effective in protecting primaries in seismic data.
Keywords:static correction  wavelet shaping  multiple removal  signal-to-noise ratio  data quality
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