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古潜山裂缝性油藏储层参数横向预测
引用本文:陈钢花,王学军,王永刚,朱家俊,杨海霞.古潜山裂缝性油藏储层参数横向预测[J].石油大学学报(自然科学版),2005,29(4):26-29,34.
作者姓名:陈钢花  王学军  王永刚  朱家俊  杨海霞
作者单位:[1]中国石油大学地球资源与信息学院,山东东营257061 [2]胜利油田地质科学研究院,山东东营257015
摘    要:对古潜山裂缝性复杂岩性油藏,任何单一的方法均不能对裂缝作出总体特征描述。将测井资料与地震资料相结合,充分发挥测井资料纵向分辨率高、地震资料横向分辨率高的优点,提出了一套古潜山裂缝识别和储层参数预测的方法。在单井测井资料精细分析和解释的基础上,通过测井与井旁地震资料精细标定、地震属性提取、归一化处理和优选,建立了地震属性与储层参数之间的关系,实现在井约束条件下的地震属性参数向储层参数的空间分布预测。该研究成果已在胜利油田数十口井中进行了推广应用,其有效孔隙度、次生孔隙度、泥质含量预测结果与测井解释结果吻合较好,两者误差相当小,取得了良好的应用效果。

关 键 词:古潜山  裂缝  储层参数  地震属性  横向预测
文章编号:1000-5870(2005)04-0026-04
收稿时间:2004-10-29
修稿时间:2004-10-29

Transversal prediction for reservoir parameters of fractured reservoirs in buried hills
Chen GangHua;Wang XueJun;Wang YongGang;Zhu GuJun;Yang HaiXia.Transversal prediction for reservoir parameters of fractured reservoirs in buried hills[J].Journal of the University of Petroleum,China(Edition of Natural Science),2005,29(4):26-29,34.
Authors:Chen GangHua;Wang XueJun;Wang YongGang;Zhu GuJun;Yang HaiXia
Abstract:As fractured complex lithology reservoirs in buried hills, the identification and evaluation of fracture is especially difficult by any single research technique. A set of methods of fracture distinguish and parameters prediction fractured reservoir in buried hills were presented by well logging data with high along-track resolution and seism data with high lateral resolution combined. Based on the fine analysis and interpretation of single well logging data, the relationship between seismic attribute and reservoir parameters was built by demarcating well logging and borehole-side seismic data, distilling the seismic attribute, normalizing management and optimizing parameters. And the prediction for the space distribution of reservoir parameters from seismic attribute under constraining conditions is realized. The application results of Shengli Oilfield show that the prediction results of effective porosity, secondary porosity and shale content accord with the results of well log interpretation, and good geological effect is obtained.
Keywords:buffed hill  fracture  reservoir parameter  seismic attribute  transversal prediction
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