西安石油大学学报（自然科学版）2013，Vol.28Issue(2)：20-24,5.
蚂蚁追踪技术在辛34断块解释中的应用
Application of multi-means comprehensive analysis in the prediction of thin reservoirs of Carboniferous Kalashayi Formation in Tahe Oilfield
摘要
Abstract
The Carboniferous Kalashayi reservoir in Tahe Oilfield is characterized by great buried depth,thin sand-layers,great lateral variation, strong heterogeneity and difficult seismic identification, so the spatial distribution of thin oil-bearing sandbodies in the reservoir is predicted by using the multi-means comprehensive analysis method of seismic data frequency-increasing,seismic slice,logging curve reconstruction, logging constrained inversion and facies-controlling reservoir prediction. The method is combining seismic attributes with acoustic impedance inversion to guide the interpretation of facies-controlling sand-bodies. Practice proves that the method can effectively utilize seismic data to forecast thin reservoir bodies.关键词
东辛油田/辛34断块/断层识别/蚂蚁追踪技术/蚂蚁属性体/三维断片系统Key words
prediction of thin reservoir/ seismic data frequency-increasing/ seismic slice/ Tahe Oilfield/ Carboniferous分类
能源科技引用本文复制引用
李振华,邱隆伟,齐赞,李国兴,李晓文..蚂蚁追踪技术在辛34断块解释中的应用[J].西安石油大学学报（自然科学版）,2013,28(2):20-24,5.基金项目
国家科技重大专项(编号:2009ZX05009-002) （编号:2009ZX05009-002）
