石油物探2017，Vol.56Issue(2)：288-294,7.DOI:10.3969/j.issn.1000-1441.2017.02.016
基于斑块饱和模型井控属性融合法油气检测
The well-controlled attributes fusion method for hydrocarbon detection based on patchy-saturation model
摘要
Abstract
At the present stage,the recognition of reservoir fluid mainly relies on seismic amplitude anomalies and elastic parameters difference.In practical applications,there are always problems that seismic amplitude response is not obvious to hydrocarbon and the elastic parameters distinction between hydrocarbon and water is not clear.So conventional methods would lead to multiplicity of hydrocarbon detection.The oil-bearing reservoir leads to more strong velocity dispersion and energy attenuation of seismic wave than water-bearing reservoir,so it is feasible to use patchy-saturation model to sort hydrocarbon-sensitive frequency.In this paper,we obtain hydrocarbon-sensitive factor by merging velocity dispersion strong and energy attenuation strong,use the information of drilled reservoir in wells to control the merge answers and proposed the well-controlled velocity dispersion and energy attenuation attributes fusion method for hydrocarbon detection.The practical data test from Bohai A oilfield proved that this method can effectively predict hydrocarbon reservoir.关键词
斑块饱和模型/速度频散/能量衰减/井控/属性融合/油气检测Key words
patchy-saturation model/velocity dispersion/energy attenuation/well control/attribute fusion/hydrocarbon detection分类
天文与地球科学引用本文复制引用
王波,夏同星,谭辉煌..基于斑块饱和模型井控属性融合法油气检测[J].石油物探,2017,56(2):288-294,7.基金项目
国家科技重大专项(2016ZX05058)资助. This research is financially supported by the National Science and Technology Major Project of China (Grant No.2016ZX05058). （2016ZX05058）
