东营凹陷北带深层砂砾岩体的地震预测方法

2009年 48卷 第No. 6期
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Seismic prediction method for deep glutinite bodies in the northern zone of Dongying Depression
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
Geophysical Prospecting Institute,Shengli Oilfield Branch Company,SINOPEC,Dongying 257100,China
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。
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 subsalt 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 subsalt glutinite bodies still has risky.Therefore,based on the existing data,we probed seismic prediction technique of subsalt glutinite bodies.Firstly,the pooling controlling factors and pooling patterns were analyzed,and the fans were classified into nearshore subaqueous fan and deepwater turbidite fan.Then,seismic prediction methods discussed for different types of fans.For nearshore subaqueous fan,petrophysical analysis,forward modeling,strata slice and prestack elastic impedance inversion can be used for reservoir prediction and fluid identification;for deepwater turbidite fan,seismic attributes analysis,logging constraint inversion and absorption characteristics analysis can be adopted for reservoir prediction and gasbearing analysis.The comparison between prediction results and drilling results show that the above seismic prediction method can effectively recognize the gasbearing of reservoirs and identify favorable exploration area.
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;
glutinite body; pooling controlling factor; pooling pattern; elastic impedance inversion; seismic attribute; absorption characteristics analysis;