检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:刘仕友 张迎朝 李洋森 闫安菊 张海洋 LIU Shiyou;ZHANG Yingzhao;LI Yangsen;YAN Anju;ZHANG Haiyang(Zhanjiang Branch Company,China National Offshore Oil Corporation,Zhanjiang 524057,China)
机构地区:[1]中海石油(中国)有限公司湛江分公司,广东湛江524057
出 处:《煤田地质与勘探》2020年第1期197-202,共6页Coal Geology & Exploration
摘 要: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。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.
关 键 词:琼东南盆地 AVO属性 远近道差异属性 流体检测 部分叠加
分 类 号:P631[天文地球—地质矿产勘探]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.145