河流相储层特征及识别:一个老河口油田的实例分析(英文)
|
摘要
河流相储层是一种重要的储层类型,寻找河道砂体是油气勘探的一项重要工作。但是河道变迁比较频繁,叠置比较严重,加之地震资料本身信噪比和分辨率的限制,河流相储层的精细描述至今仍存在一定的困难。本文以胜利油田老河口三维工区为例,首先研究了本区河流相储层的基本特征,发现该类储层剖面上呈强相位、切片上连续性好和频谱上呈低频特征;通过颜色处理和地震精细解释,发现本区河流相储层存在类串珠状特征,为了验证这一观测结果,我们用正演模拟分析了其形成机理,为在类似工区识别此类古河道找到了新的途径;应用多属性融合和RGB显示技术,河道下切特征更加明显,很好地彰显了河道结构特征,提高了河道识别能力;最后,我们研究并开发了多子波检测技术,检测出更多河流相弱反射信息。
Finding channel sandbodies is an important task in oil and gas exploration due to the importance of fluvial reservoirs.It is difficult to describe fluvial reservoirs in detail owing to their frequent changes and serious intersections,as well as limitations of S/N ratio and seismic data resolution.Based on the Laohekou 3D data in Shengli Oilfield,we analyze the general characteristics of fluvial reservoirs in this area,from which we find that they are characterized by strong amplitudes on seismic profiles,high continuity on time slices,and low frequency in the frequency domain.In addition,a cluster of strong string-beadlike reflections was found after color processing and detailed interpretation.To understand this observation,we conduct forward modeling to explain the mechanism.This provides a new way to identify ancient channels in similar areas.By using the multi-attribute fusion and RGB display techniques,channel incision is more obvious and the characteristics of the channel structures are manifested much better.Finally,we introduce and apply multi-wavelet detection technology to identify weaker fluvial reservoir signals.
Finding channel sandbodies is an important task in oil and gas exploration due to the importance of fluvial reservoirs.It is difficult to describe fluvial reservoirs in detail owing to their frequent changes and serious intersections,as well as limitations of S/N ratio and seismic data resolution.Based on the Laohekou 3D data in Shengli Oilfield,we analyze the general characteristics of fluvial reservoirs in this area,from which we find that they are characterized by strong amplitudes on seismic profiles,high continuity on time slices,and low frequency in the frequency domain.In addition,a cluster of strong string-beadlike reflections was found after color processing and detailed interpretation.To understand this observation,we conduct forward modeling to explain the mechanism.This provides a new way to identify ancient channels in similar areas.By using the multi-attribute fusion and RGB display techniques,channel incision is more obvious and the characteristics of the channel structures are manifested much better.Finally,we introduce and apply multi-wavelet detection technology to identify weaker fluvial reservoir signals.
引文
Brown,A. R.,2001,Understanding seismic attributes:Geophysics,66,47-48.
Bi,J. F.,Liu,S. H.,and Chen,X. G.,2003,The application of frequency-shared interpretation technique to channel sandbody description in upper Ng of Zhuang 106 area: PGRE,10(5),38-40.
Greene,M.,2007,The discrete prolate spheroidal sequences and a series expansion for seismic wavelets: Geophysics,72(6),V119 -V132.
Ji,T.Z.,Yang,Y.G.,and Li,S.L.,2003,Application of coherence technology in the prediction of channel sand: Geophysical Prospecting for Petroleum,42(3),399-401.
Lilly,J. M.,and Park,J.,1995,Multiwavelet spectral and polarization analysis of seismic records: Geophysical Journal International,122(3),1001-1021.
Liu,J.,and Marfurt,K.,2007,Multicolor display of spectral attributes: The Leading Edge,26,268-271.
Partyka,G.,Gridley,J.,and Lopez,J.,1999,Interpretational applications of spectral decomposition in reservoir characterization: The Leading Edge,18(3),353-360.
Wang,W.,2009,Technology of seismic geometric attributes for fault identification and its application: Dongying, China University of Petroleum.
Wang,Y. G.,Yue,Y. X.,and Zhang,J. H.,2007,Seismic attribute analysis: Dongying,Press of China University of Petroleum.
Zhang,J. H.,Wang,Y. Y.,and Zhao,Y.,2004,Detection of coherent data volume by wavelet multi resolution and application: Oil Geophysical Propecting,39(1),33-36.
Bi,J. F.,Liu,S. H.,and Chen,X. G.,2003,The application of frequency-shared interpretation technique to channel sandbody description in upper Ng of Zhuang 106 area: PGRE,10(5),38-40.
Greene,M.,2007,The discrete prolate spheroidal sequences and a series expansion for seismic wavelets: Geophysics,72(6),V119 -V132.
Ji,T.Z.,Yang,Y.G.,and Li,S.L.,2003,Application of coherence technology in the prediction of channel sand: Geophysical Prospecting for Petroleum,42(3),399-401.
Lilly,J. M.,and Park,J.,1995,Multiwavelet spectral and polarization analysis of seismic records: Geophysical Journal International,122(3),1001-1021.
Liu,J.,and Marfurt,K.,2007,Multicolor display of spectral attributes: The Leading Edge,26,268-271.
Partyka,G.,Gridley,J.,and Lopez,J.,1999,Interpretational applications of spectral decomposition in reservoir characterization: The Leading Edge,18(3),353-360.
Wang,W.,2009,Technology of seismic geometric attributes for fault identification and its application: Dongying, China University of Petroleum.
Wang,Y. G.,Yue,Y. X.,and Zhang,J. H.,2007,Seismic attribute analysis: Dongying,Press of China University of Petroleum.
Zhang,J. H.,Wang,Y. Y.,and Zhao,Y.,2004,Detection of coherent data volume by wavelet multi resolution and application: Oil Geophysical Propecting,39(1),33-36.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心