论文详情
东营凹陷北带深层砂砾岩体的地震预测方法
石油物探
2009年 48卷 第No. 6期
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Title
Seismic prediction method for deep glutinite bodies in the northern zone of Dongying Depression
单位
1中国石油化工股份有限公司胜利油田分公司物探研究院,山东东营257100;2中国石油大学(北京),北京102249
Organization
Geophysical Prospecting Institute,Shengli Oilfield Branch Company,SINOPEC,Dongying 257100,China
摘要
东营凹陷北带盐下砂砾岩体具有良好的成藏条件,但由于深层地震资料的分辨率低,盐下砂砾岩体勘探具有较大的风险。因此,基于现有资料,对盐下砂砾岩体的地震预测技术进行了探索。首先进行了成藏控制因素和成藏模式分析,将扇体分为近岸水下扇和深水浊积扇两大类;〖JP+1〗然后针对不同类型的扇体,分别讨论了相应的地震预测方法。对于近岸水下扇,采用岩石物理分析、正演模拟、地层切片和叠前弹性阻抗反演等方法进行储层预测和流体识别;对于深水浊积扇,利用地震属性分析、测井约束反演和吸收特征分析等方法,进行储层预测和含气性分析。预测结果与钻井结果的对比表明,上述地震预测方法可以有效识别储层的含气性,划分有利勘探区。
Abstract
Seismic prediction method for deep glutinite bodies in the northern zone of Dongying Depression.. Wang Shugang,Li Hongmei,Wei Wen,Wang Fanjian,Wang Hong.GPP,2009,48(6):584~590
The subsalt glutinite bodies in the northern zone of Dongying Depression provide favorable pooling potential.However,because of the low resolution of seismic data from deep layers,the exploration of subsalt glutinite bodies still has risky.Therefore,based on the existing data,we probed seismic prediction technique of subsalt glutinite bodies.Firstly,the pooling controlling factors and pooling patterns were analyzed,and the fans were classified into nearshore subaqueous fan and deepwater turbidite fan.Then,seismic prediction methods discussed for different types of fans.For nearshore subaqueous fan,petrophysical analysis,forward modeling,strata slice and prestack elastic impedance inversion can be used for reservoir prediction and fluid identification;for deepwater turbidite fan,seismic attributes analysis,logging constraint inversion and absorption characteristics analysis can be adopted for reservoir prediction and gasbearing analysis.The comparison between prediction results and drilling results show that the above seismic prediction method can effectively recognize the gasbearing of reservoirs and identify favorable exploration area.
关键词:
砂砾岩体;
成藏控制因素;
成藏模式;
弹性阻抗反演;
地震属性;
吸收特征分析;
Keywords:
glutinite body;
pooling controlling factor;
pooling pattern;
elastic impedance inversion;
seismic attribute;
absorption characteristics analysis;