基于谱分解的薄层调谐与AVO异常识别方法  

Identification of Thin-bed Tuning and AVO Anomaly Based on Seismic Spectral Decomposition

作　　者：刘伟[1] 杨凯[1] 曹思远[2,3] 张鹏[1] 

机构地区：[1]中海油田服务股份有限公司物探事业部,天津300451 [2]中国石油大学北京油气资源与探测国家重点实验室,北京102249 [3]中国石油大学CNPC物探重点实验室,北京102249

出　　处：《石油天然气学报》2011年第5期82-85,336,共4页Journal of Oil and Gas Technology

基　　金：国家“863”计划项目(2007AAS06Z229);国家科技重大专项(2008ZX05024-001-01)

摘　　要：我国油气田多为薄层或薄互层类型,薄层调谐效应导致叠加剖面上出现假亮点,这些＂亮点＂与含油气亮点（第3类AVO异常）有本质区别。针对这一问题,根据实际储层的岩石物理参数和地质条件,设计了楔形和薄层地质模型,分析了薄层调谐效应与频率之间的关系和含油气亮点与频率之间的关系,并由此提出利用谱分解技术来识别真假亮点。实际地震资料处理结果表明,谱分解技术能有效地识别真假亮点,降低油气田勘探开发风险。Most oil-gas fields in China were thin beds or thin inter-beds.The false 'bright spots' which were caused by thin-bed tuning effect appeared on post-stack seismic data.These false bright spots' were naturally different from those bright spots from hydrocarbon zones(the 3rd class AVO anomaly).In consideration of the problem and based on physical parameters of rocks and geological conditions of actual reservoirs,wedge and thin-bed geological models were designed to analyze the relations between thin-bed tuning and frequency and between oil-bearing bright spots and frequency.A new method of spectral decomposition used to identify false 'bright spots' is proposed.The field example illustrates that seismic spectral decomposition can be used to effectively identify false bright spots.This method can reduce the risk of exploration and development.

关 键 词：谱分解 薄层 薄层调谐 AVO异常 

分 类 号：P631.44[天文地球—地质矿产勘探]