【摘要】 传统共反射面元(CRS)叠加方法是通过数据驱动的策略,在超共中心点道集(或称为CRS道集)内通过相关分析搜索得到初始属性参数组,然后对这组参数进行优化处理实现得到实现的。但是上述实现策略导致了传统方法中计算效率比较低的问题。基于共偏移距剖面,并结合广义Radon变换与倾角分解共反射点(CRP)叠加方法,得到了一种实用的基于广义Radon变换的共反射面元(GRT)CRS叠加实现方法。基于理论数据的测试表明,GRTCRS方法有效地提高了CRS叠加的计算效率和计算精度,在理论数据上的试验证实了该方法的有效性。更多还原

【Abstract】 Conventional common reflection surface (CRS) stack technique is to extract initial attribute parameter set through correlation analysis in super common-midpoint gather (also called CRS gather) by using data-driven method, and then optimize and process the obtained parameter set. However, this realization method results in the low computational efficiency of the conventional CRS stack. A practical generalized Radon transform (GRT)-based CRS stack technique is developed based on common offset profile and in conjunction with the GRT and dip decomposition common reflection point (CRP) stack methods. Tests with theoretical data show that GRT-based CRS stack technique can effectively improve computational efficiency and accuracy of CRS stack.更多还原