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利用常规测井资料对王集地区低阻油田进行油水层识别

Using conventional well logging data to identify oil-water layer in the low resistivity oilfield in Wangji area
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摘要 王集地区油藏由岩性圈闭和断块圈闭构成,加上低电阻率油层使得测井解释难度加大。文章利用常规测井资料,采用"无侵线法"、含水饱和度、束缚水饱和度重叠显示可动水法、双孔隙度重叠显示含油性法、微差识别法、试油约束的图版法和神经网络识别法建立针对性的油层识别方法与标准,进一步提高常规测井资料对低阻油层的识别能力,增加低阻油层储量,更好地为油田的勘探开发服务。 Wangji lithologic traps set by the reservoir area and the fault block traps composition,combined with low resistivity reservoir makes log interpretation become more difficult.This paper uses conventional logging data and takes several methods like ″non-aggression line method″,water saturation,irreducible water saturation movable Cascade Water Act,dual porosity,oil-bearing overlay display method,differential recognition method,test plates bound oil law and neural network identification method,to establish targeted reservoir identification methods and standards to further improve the conventional oil well logging data on the ability to identify low-impedance,low resistance to increase oil reserves and better services for the oil field exploration and development.
出处 《石油仪器》 2011年第6期58-61,10,共4页 Petroleum Instruments
关键词 低电阻率 重叠 微差 交会 神经网络 low resistivity overlap differential rendezvous neural network
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