首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于非线性能量分析的鲕滩储层预测方法
引用本文:熊晓军,王小品,贺振华.基于非线性能量分析的鲕滩储层预测方法[J].西南石油大学学报(自然科学版),2010,32(4):1-5.
作者姓名:熊晓军  王小品  贺振华
作者单位:(1.成都理工大学地球探测与信息技术教育部重点实验室,四川 成都 610059;2.“油气藏地质与开发工程”国家重点实验室·成都理工大学,四川 成都 610059)
摘    要:Teager Kaiser非线性能量(T K能量)可以归为振幅类地震属性,但有别于常规的振幅类地震属性,它与振幅的平方、频率的平方成正比。鲕滩储层中流体为油气时地震记录往往呈现“高频衰减” 现象,由于T K能量与频率平方成正比,因此含油气鲕滩储层内部T K能量弱。鲕滩储层与围岩的物性差别使储层顶和底边界形成“亮点”反射,相应的T K能量高,T K属性剖面背景越发“明亮”,而内部相对较“暗”,利用这些特征可以有效地进行鲕滩储层预测,实际资料的计算结果表明,基于非线性能量分析的鲕滩储层预测方法得到的鲕滩储层分布与实钻完全一致。

关 键 词:非线性能量分析  鲕滩  储层预测  TK能量算子  亮点  

OOLITIC RESERVOIR PREDICTION METHOD BASED ON NONLINEAR ENERGY ANALYSIS
XIONG Xiao-jun WANG Xiao-pin HE Zhen-hua.OOLITIC RESERVOIR PREDICTION METHOD BASED ON NONLINEAR ENERGY ANALYSIS[J].Journal of Southwest Petroleum University(Seience & Technology Edition),2010,32(4):1-5.
Authors:XIONG Xiao-jun WANG Xiao-pin HE Zhen-hua
Institution:1.MOE Key laboratory of Earth Exploration And Information Technology,Chengdu University of Technology,Chengdu Sichuan 610059,China;2.State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Chengdu University of Technology,Chengdu Sichuan 610059,China)
Abstract:Non linear Teager Kaiser energy (TK energy) can be classified as the amplitude of the seismic attributes,but it is different from the conventional seismic attributes,because it is proportional to the square of amplitude and frequency.When the oolitic reservoir is full of oil or gas,seismic records often present “high"frequency attenuation” phenomenon.As TK energy is proportional to the square of frequency,TK energy of the reservoir which contains oil or gas is weak.Since the oolitic reservoir′s top and bottom is different from the surrounding in rock properties,“bright spot” reflection often presents on top and bottom of the reservoir,so TK energy of the top and bottom of the reservoir is stronger.With seismic profile after extraction of seismic attribute of TK energy,the top and bottom of the reservoir on the seismic profile is much “brighter”,while TK energy is relatively weak in the internal reservoir.These characteristics can be used to predict the oolitic reservoir.The computational result of the real data shows that the predicted distribution of oolitic reservoir based on TK energy method is completely consistent with the real work data.
Keywords:nonlinear energy analysis  oolitic beach  reservoir prediction  TK energy operator  highlight  
本文献已被 CNKI 等数据库收录!
点击此处可从《西南石油大学学报(自然科学版)》浏览原始摘要信息
点击此处可从《西南石油大学学报(自然科学版)》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号