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叠前属性提取和叠前反演处理,需要采用不同角度道集的信息。去除实际资料中所含的面波、随机噪声及相干噪声时或多或少都会影响角道集资料的品质。由于实际资料的复杂性,难以直接定量评价叠前去噪对角道集资料的影响程度,因此建立针对性的理论模型进行了定量研究。研究结果表明,①角道集叠加的抗噪能力要明显好于CMP叠加,对于角度域叠加,资料最低信噪比可达0.5;②相干噪声对角道集的影响程度要小于对CMP道集的影响程度,相干噪声的视速度大,则对叠加效果影响也大,反之则小;③面波能量强、频率低,少量的面波残留也会明显地影响角道集,由于面波主要出现在近偏移距,因此,它对近道的影响要强于远道。
Prestack attribute extraction and prestack inversion processing require the use of information from gathers at different angles. Removal of the actual data contained surface waves, random noise and coherent noise more or less will affect the quality of the gathers set of information. Due to the complexity of the actual data, it is difficult to directly and quantitatively evaluate the influence of the prestack noise on the gazetting set data. Therefore, a specific theoretical model is established and quantitatively studied. The results show that ① the anti-noise ability of the gather of the gathers is obviously better than that of the CMP superposition, and the minimum signal to noise ratio of the information is up to 0.5 for the superposition of the angle domain; ② The influence of the coherent noise on the gathers is less than that of the gathers Degree and coherent noise, the effect on the superposition effect is large, and vice versa; ③ The strong and low frequency of surface wave energy, the small amount of surface wave residual will obviously affect the gathers, as the surface wave mainly appears in the near Offset, therefore, its impact on the road is stronger than distance.