基于小波变换的分频技术在碳酸盐岩储层预测中的应用
|
摘要
塔河油田奥陶系海相碳酸盐岩储层埋藏深,地震反射信号弱,且风化壳多为杂乱反射,储集体类型复杂多样,有裂缝、溶洞、孔洞等类型,纵横向非均质性强,勘探难度大,属世界级难题。针对上述难题,这里引入基于小波变换的地震分频技术,首先针对该区实际地质情况设计模型,检验了该方法的可行性;然后对该区碳酸盐岩储层进行了预测,预测结果与实钻数据相一致,由此可见,分频解释技术可以有效刻划碳酸盐岩储层空间分布特征。研究表明,经分频处理后的地震数据,其解释分辨率高于常规地震主频所能达到的分辨能力,不需要建立假设的模型,尊重原始地震数据,减少了人为因素干扰带来的假象。该项技术在确定油藏边界、储层预测方面具有独特的优势。
Tahe oilfield′s carbonate reservoir is buried deeply with normal depth over 5300m.The dominated system of carbonate reservoirs are fractures,corrosive caverns and serious heterogeneity in plane,which are difficult for transverse prediction of the reservoir distribution.The describe of reservoirs using the tradition resolution method is very difficult.The paper expatiated basic theories and principles of wavelet transform and introduced the separate frequency interpretation technique by wavelet transform.Theoretic model near real deep based on the geological analysis results was made to prove the feasibility of separate frequency interpretation technique.Finally,this technology was applied to actual seismic data in Tahe oilfield,and the predicting results for oil and gas accorded with the drilling result.The spectral decomposition can improve effect of carbonate reservoir prediction.
Tahe oilfield′s carbonate reservoir is buried deeply with normal depth over 5300m.The dominated system of carbonate reservoirs are fractures,corrosive caverns and serious heterogeneity in plane,which are difficult for transverse prediction of the reservoir distribution.The describe of reservoirs using the tradition resolution method is very difficult.The paper expatiated basic theories and principles of wavelet transform and introduced the separate frequency interpretation technique by wavelet transform.Theoretic model near real deep based on the geological analysis results was made to prove the feasibility of separate frequency interpretation technique.Finally,this technology was applied to actual seismic data in Tahe oilfield,and the predicting results for oil and gas accorded with the drilling result.The spectral decomposition can improve effect of carbonate reservoir prediction.
引文
[1]ZHANG JINGHUA,CHAPMAN M.Application of spectral decomposition to detection ofdispersion a-nomalies associated with gas saturation[J].The LandingEdge,2006,25(2):206.
[2]PARTYKA G,GRIDLEY J,LOPEZ J.Interpreta-tional applications of spectral decomposition in reser-voir characterization[J].The Leading Edge,1999,18(3):353.
[3]COLORADO D.Stratigraphic detection and hydrocar-bon detection in offshore Gulf of Mexico Miocene sandstone reservoirs using Spectral Decomposition[J].Expanded Abstracts of74thAnnual International SEG Meeting,2004:11.
[4]蔡刚,吕锡敏,苏明军,等.频谱分解技术在准噶尔盆地油气勘探中的应用[J].天然气工业,2006,26(4):35.
[5]徐伯勋,白旭滨.地震勘探信息技术[M].北京:地质出版社,2001.
[6]叶泰然,苏锦义,刘兴艳.分频解释技术在川西砂岩储层预测中的应用[J].石油物探,2008,47(1):72.
[7]薛大力,徐鸣洁,龚姚进,等.地震分频解释技术在沈143井区储层预测中的应用[J].大庆石油地质与开发,2007,26(3):128.
[8]朱庆荣,张越迁,于兴河,等.分频解释技术在表征储层中的运用[J].矿物岩石,2003,23(3):104.
[9]LIU J L,WU Y,HAN D,et al.Time-frequency decomposition based on Ricker wavelet[J].Expanded Abstracts of74′Annual Intemat SEG Mtg,2004:1937.
[10]LIU J L,MARFURE K J.Matching pursuit decom-position using Morlet wavelets[J].Expanded Ab-stracts of75′h Annual Internat SEG Mtg,2005:786.
[11]MEYERS S D,KELLY B G,O′BRIEN J J.An in-troduction to wavelet analysis in oceanography and meteorology:with application to the dispersion of Yanai waves[J].Monthly Weather Review,1993,121(10):2858.
[12]LIU J L.Spectral decomposition and its application in mapping stratigraphy and hydrocarbons[D].Houston,USA:University of Houston,2006.
[13]高静怀,万涛,陈文超,等.三参数小波及其在地震资料分析中的应用[J].地球物理学报,2006,49(6):1802.
[14]柳建新,韩世礼,马捷.小波分析在地震资料去噪中的应用[J].地球物理学进展,2006,21(2):541.
[15]郭刚明,时立彩,高生军,等.小波变换在地震资料处理中的应用效果分析[J].石油物探,2003,42(2):237.
[16]李宗杰,杨林,王勤聪.小波变换在位场数据处理中的应用[J].石油物探,1997,36(2):86.
[17]郭刚明,时立彩,高生军,等.小波变换在地震资料处理中的应用效果分析[J].石油物探,2003,42(2):237.
[18]张德丰.MATLAB小波分析[M].北京:机械工业出版社,2009.
[2]PARTYKA G,GRIDLEY J,LOPEZ J.Interpreta-tional applications of spectral decomposition in reser-voir characterization[J].The Leading Edge,1999,18(3):353.
[3]COLORADO D.Stratigraphic detection and hydrocar-bon detection in offshore Gulf of Mexico Miocene sandstone reservoirs using Spectral Decomposition[J].Expanded Abstracts of74thAnnual International SEG Meeting,2004:11.
[4]蔡刚,吕锡敏,苏明军,等.频谱分解技术在准噶尔盆地油气勘探中的应用[J].天然气工业,2006,26(4):35.
[5]徐伯勋,白旭滨.地震勘探信息技术[M].北京:地质出版社,2001.
[6]叶泰然,苏锦义,刘兴艳.分频解释技术在川西砂岩储层预测中的应用[J].石油物探,2008,47(1):72.
[7]薛大力,徐鸣洁,龚姚进,等.地震分频解释技术在沈143井区储层预测中的应用[J].大庆石油地质与开发,2007,26(3):128.
[8]朱庆荣,张越迁,于兴河,等.分频解释技术在表征储层中的运用[J].矿物岩石,2003,23(3):104.
[9]LIU J L,WU Y,HAN D,et al.Time-frequency decomposition based on Ricker wavelet[J].Expanded Abstracts of74′Annual Intemat SEG Mtg,2004:1937.
[10]LIU J L,MARFURE K J.Matching pursuit decom-position using Morlet wavelets[J].Expanded Ab-stracts of75′h Annual Internat SEG Mtg,2005:786.
[11]MEYERS S D,KELLY B G,O′BRIEN J J.An in-troduction to wavelet analysis in oceanography and meteorology:with application to the dispersion of Yanai waves[J].Monthly Weather Review,1993,121(10):2858.
[12]LIU J L.Spectral decomposition and its application in mapping stratigraphy and hydrocarbons[D].Houston,USA:University of Houston,2006.
[13]高静怀,万涛,陈文超,等.三参数小波及其在地震资料分析中的应用[J].地球物理学报,2006,49(6):1802.
[14]柳建新,韩世礼,马捷.小波分析在地震资料去噪中的应用[J].地球物理学进展,2006,21(2):541.
[15]郭刚明,时立彩,高生军,等.小波变换在地震资料处理中的应用效果分析[J].石油物探,2003,42(2):237.
[16]李宗杰,杨林,王勤聪.小波变换在位场数据处理中的应用[J].石油物探,1997,36(2):86.
[17]郭刚明,时立彩,高生军,等.小波变换在地震资料处理中的应用效果分析[J].石油物探,2003,42(2):237.
[18]张德丰.MATLAB小波分析[M].北京:机械工业出版社,2009.
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