摘要
为了提高储层预测精度和可信度,根据不同角度道集所反映的地层结构和流体信息不同的特点,利用AVO分析方法中角度道集的预处理,对叠前地震资料处理,获得近角度叠加道集和远角度叠加道集2个属性。将远近不同的2个属性进行组合而形成一个新的流体识别因子。并通过数值模拟和塔河地区的实际地震数据处理证明,该流体识别因子在突出异常的同时也压制了其他的干扰,对流体预测的效果是敏感的。
For improving the accuracy and reliability of the reservoir prediction, and by using the pre-process of AVO angles gathers to process pre-stack seismic data, the attributes of stack section of partial angle gathers were obtained based on the property of reservoir structure and fluid information reflected from different gathers. The two attribute factors were combined to a new fluid identifying factor. The result of data modeling and practical application in TH area shows that the fluid identifying factor is effective in comparison with other factors, at the same time, it can not only give prominence to abnormity, but also weaken the noise, it is sensitive to fluid prediction result.
出处
《石油天然气学报》
CAS
CSCD
北大核心
2009年第3期68-71,11,共4页
Journal of Oil and Gas Technology
基金
国家自然科学基金项目(40774064)
国家"863"计划项目(2006AA0AA102-12)
关键词
叠前地震资料
流体识别
AVO
油气储层
角度道集
pre-stack seismic data
fluid identification
AVO
oil and gas reservoir
angle gathers