远近道差异属性在琼东南盆地深水区AVO分析中应用

对于信噪比相对较低的叠前地震资料，利用传统AVO属性交会分析和截距梯度乘积属性分析（即P×G属性）效果可能并不理想。为了有效提取叠前道集AVO属性信息，从叠前部分叠加体出发，根据远近道部分叠加体的相对关系，构建类似P×G属性的远近道差异属性因子，其中近道叠加反映截距属性，近远道叠加差值反映梯度属性，并通过理论模型验证其可以取代P×G属性应用于实际地震资料的AVO分析。最后以琼东南盆地深水区某气藏进行实际验证与分析，可知部分叠加数据相比单道道集信噪比明显提高，所以远近道差异属性可以有效解决实际道集的满天星现象，从而为信噪比相对较低的地震资料AVO属性分析提供更有效的方法。 

Application of far and near trace attributes for AVO analysis in deep water area in Qiongdongnan basin

For prestack seismic data with low signal-to-noise ratio(SNR),the effect of traditional AVO rendezvous analysis and intercept gradient product attribute(P×G attribute)may not be ideal.In order to extract the information of AVO attribute effectively,this paper starts from the prestack partial superposition body,according to the relative relation of the far and near track part superposition body,the far and near attribute factor similar to the P×G attribute was constructed,in which the near track stack reflects the intercept attribute,and the near-far stack difference reflects the intercept attribute,which is similar to the P×G attribute.And it is verified by theoretical model that it can replace P×G attribute in AVO analysis of actual seismic data.At the same time,the signal-to-noise ratio of partial stack data is significantly higher than that of single-channel set.Finally,taking a gas reservoir in deep water area in Qiongdongnan basin as an example,it is shown that the difference attribute of far and near track attribute can effectively solve the full star phenomenon of actual gathers,thus providing a new way to study the AVO attribute analysis of seismic data with relatively low SNR.