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共反射面元叠加方法(CRS)是一种完全由数据驱动、不依赖于宏观速度模型的地震成像技术,该方法在相应的相干区内依据相邻CMP数据所生成的超道集,凭借高覆盖次数压制地震资料中的噪声,可大幅度地提高地震资料信噪比和成像质量.大庆油田深层目标主要为火山岩和致密砂砾岩,一般来说各工区的地震资料对深层成像都不清晰,信噪比较低.为满足深层目标勘探的需要,应用了共反射面元叠加技术,对大庆油田某区的实际地震资料处理表明,该方法能够提高剖面的信噪比,增加反射波同相轴的连续性,为研究区AVO属性分析、叠前储层预测提供高质量的地震数据体和叠前道集.
The CRS method is a completely data-driven seismic imaging technique that does not depend on the macro-velocity model. The CRS method is based on the supergraph set generated by the adjacent CMP data in the corresponding coherence region. The coverage times suppress the noise in seismic data, which can greatly improve the signal-to-noise ratio and imaging quality of seismic data.The deep targets of Daqing Oilfield are mainly volcanic rocks and compact sandy conglomerates, and generally the seismic data of various work areas are not clear enough for deep imaging, In order to meet the needs of deep target exploration, the co-reflector element superposition technique is applied. The actual seismic data processing in a certain area of Daqing Oilfield shows that this method can improve the signal-to-noise ratio of profile and increase the phase of reflected wave For the AVO attribute analysis in the study area, pre-stack reservoir prediction provides high-quality seismic data volumes and prestack gathers.