多子波分解与重构法砂岩储层预测
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摘要
鄂尔多斯盆地北部大牛地气田的天然气藏是大型岩性圈闭气藏,储层具有岩性致密、非均质性强的特点,由于地震资料分辨率较低、砂泥岩波阻抗差微弱、煤层反射振幅过强,造成砂体的地震响应特征不明显,储层预测难度极大。通过对叠后地震数据的多子波分解与重构,也就是将地震道分解成不同主频的子波集合,将反映储层频率成分段的子波进行叠加,用于储层含气性预测,在含气砂岩储层预测中取得了良好的效果。
Daniudi Gasfield in Ordos Basin is typically a lithologic gas reservoir with tight and anisotropic characteristics.There is no obvious seismic response of sand body due to low resolution,small difference of acoustic impedance between sand and shale,and strong reflection events from coal.Therefore,it is very difficult to predict the reservoirs in the area.Using the multi-wavelet seismic trace decomposition and reconstruction,each post-stack seismic trace is decomposed into a set of Ricker wavelets of different dominant frequencies.A new seismic volume is then reconstructed with wavelets within a selected range of dominant frequencies that reflect the reservoirs and used to predict the reservoirs and gas-bearing property.
Daniudi Gasfield in Ordos Basin is typically a lithologic gas reservoir with tight and anisotropic characteristics.There is no obvious seismic response of sand body due to low resolution,small difference of acoustic impedance between sand and shale,and strong reflection events from coal.Therefore,it is very difficult to predict the reservoirs in the area.Using the multi-wavelet seismic trace decomposition and reconstruction,each post-stack seismic trace is decomposed into a set of Ricker wavelets of different dominant frequencies.A new seismic volume is then reconstructed with wavelets within a selected range of dominant frequencies that reflect the reservoirs and used to predict the reservoirs and gas-bearing property.
引文
[1]An Ping.Application of multi-wavelet seismic trace de-composition and reconstruction to seismic data interpreta-tionandreservoircharacterization[C].NewOrleans:2006SEG Annual Meeting,October,2006.
[2]An Ping.Case studies on stratigraphic interpretation andsand mapping using volume-based seismic waveform de-composition[C].New Orleans:2006 SEG Annual Meet-ing,October,2006.
[3]徐天吉,沈忠民,文雪康.多子波分解与重构技术应用研究[J].成都理工大学学报:自然科学版,2010,37(6):660–665.Xu Tianji,Shen Zhongmin,Wen Xuekang.Research andapplication of multi-wavelet decomposition and recon-structing technology[J].Journal of Chengdu Universityof Technology:Science&Technology Edition,2010,37(6):660–665.
[4]胥良君,殷洪川,苟玲,等.多子波树型分解算法[J].内蒙古石油化工,2010(21):32–35.XuLiangjun,YinHongchuan,Gouling,etal.Newmulti-wavelet decomposition and reconstruction algorithmbased on tree structure[J].Inner Mongolia PetrochemicalIndustry,2010(21):32–35.
[5]高倩,李仲东,赵爽.基于子波分解的含气性识别技术在CC地区浅层气藏勘探中的应用[J].天然气地球科学,2011,22(3):549–553.Gao Qian,Li Zhongdong,Zhao Shuang.Application ofgas-recognition technology based on wavelet decomposi-tion to shallow gas reservoir exploration[J].Natural GasGeoscience,2011,22(3):549–553.
[6]王昕,魏刚,刘歆,等.子波地震道分解与重构技术在复杂储层预测中的应用[J].断块油气田,2010,17(3):289–292.Wang Xin,Wei Gang,Liu Xin,et al.Application ofseismic trace-wavelet decomposition and reconfigura-tion technology in complex reservoir prediction[J].Fault-Block Oil&Gas Field,2010,17(3):289–292.
[7]代双和,陈志刚,于京波,等.多子波分解与重构技术在阿尔及利亚TKT-NGS油田储层描述中的应用[J].石油地球物理勘探,2011,46(1):103–109.Dai Shuanghe,Chen Zhigang,Yu Jingbo,et al.Appli-cation of multi-wavelet decomposition and reconstruc-tion technique in reservoir characterization in TKT-NGSOilfield,Algeria[J].Oil Geophysical Prospecting,2011,46(1):103–109.
[8]Ricker.The form and laws of propagation of seismicwavelets[J].Geophysics,1953,18(1):10–40.
[9]Geronomo J S.Fractal functions and wavelet expansionsbased oil several scaling functions[J].J.Approx Theory,1994,78(3):373–401.
[10]Daubechies I.Ten lectures on wavelets[M].Ladephia:Society for Industrial and applied Mathetics,1992.
[11]Bear L K,Pavlis G L.利用多子波方法对宽频带地震数据的时间残差进行多信道估计[J].刘志远,译.世界地震译丛,2001(1):65–77.
[12]An Ping.Comparison of wavelet selection and band-passfiltering for noise removal for seismic data processing[J].SEG Technical Program Expanded Abstract,2008(27):2662–2665.
[13]Pann K,Shin Y.A class of convolutional timevarying fil-ters[J].Geophysics,1976,41(1):28–43.
[14]牟永光.地震勘探资料数字处理方法[M].北京:石油工业出版社,1986.
[15]俞寿朋.高分辨率地震勘探[M].北京:石油工业出版社,1999.
[16]吴志强,田志福,丁国栋,等.鄂尔多斯盆地塔巴庙工区下石盒子组砂岩储层综合预测技术[J].石油物探,2000,39(3):26–35.WuZhiqiang,TianZhifu,DingGuodong,etal.Integratedprediction techniques for sand reservoirs at lower ShiheziFormation of Tabamiao area in Erdos Basin[J].Geophy-sical Prospecting for Petrole,2000,39(3):26–35.
[17]边树涛,董艳蕾,郑浚茂.地震波频谱衰减检测天然气技术应用研究[J].石油地球物理勘探,2007,42(3):296–300.Bian Shutao,Dong Yanlei,Zheng Junmao.Study on ap-plication of seismic frequency spectrum attenuation to de-tect natural gas[J].Oil Geophysical Prospecting,2007,42(3):296–300.
[18]徐长贵,于水,林畅松,等.渤海海域古近系湖盆边缘构造样式及其对沉积层序的控制作用[J].古地理学报,2008,10(6):627–635.Xu Changgui,Yu Shui,Lin Changsong,et al.Structuralstyles of the Paleogene lacustrine basin margin and theircontrol on sedimentary sequences in Bohai Sea area[J].Journal of Palaeogeography,2008,10(6):627–635.
[2]An Ping.Case studies on stratigraphic interpretation andsand mapping using volume-based seismic waveform de-composition[C].New Orleans:2006 SEG Annual Meet-ing,October,2006.
[3]徐天吉,沈忠民,文雪康.多子波分解与重构技术应用研究[J].成都理工大学学报:自然科学版,2010,37(6):660–665.Xu Tianji,Shen Zhongmin,Wen Xuekang.Research andapplication of multi-wavelet decomposition and recon-structing technology[J].Journal of Chengdu Universityof Technology:Science&Technology Edition,2010,37(6):660–665.
[4]胥良君,殷洪川,苟玲,等.多子波树型分解算法[J].内蒙古石油化工,2010(21):32–35.XuLiangjun,YinHongchuan,Gouling,etal.Newmulti-wavelet decomposition and reconstruction algorithmbased on tree structure[J].Inner Mongolia PetrochemicalIndustry,2010(21):32–35.
[5]高倩,李仲东,赵爽.基于子波分解的含气性识别技术在CC地区浅层气藏勘探中的应用[J].天然气地球科学,2011,22(3):549–553.Gao Qian,Li Zhongdong,Zhao Shuang.Application ofgas-recognition technology based on wavelet decomposi-tion to shallow gas reservoir exploration[J].Natural GasGeoscience,2011,22(3):549–553.
[6]王昕,魏刚,刘歆,等.子波地震道分解与重构技术在复杂储层预测中的应用[J].断块油气田,2010,17(3):289–292.Wang Xin,Wei Gang,Liu Xin,et al.Application ofseismic trace-wavelet decomposition and reconfigura-tion technology in complex reservoir prediction[J].Fault-Block Oil&Gas Field,2010,17(3):289–292.
[7]代双和,陈志刚,于京波,等.多子波分解与重构技术在阿尔及利亚TKT-NGS油田储层描述中的应用[J].石油地球物理勘探,2011,46(1):103–109.Dai Shuanghe,Chen Zhigang,Yu Jingbo,et al.Appli-cation of multi-wavelet decomposition and reconstruc-tion technique in reservoir characterization in TKT-NGSOilfield,Algeria[J].Oil Geophysical Prospecting,2011,46(1):103–109.
[8]Ricker.The form and laws of propagation of seismicwavelets[J].Geophysics,1953,18(1):10–40.
[9]Geronomo J S.Fractal functions and wavelet expansionsbased oil several scaling functions[J].J.Approx Theory,1994,78(3):373–401.
[10]Daubechies I.Ten lectures on wavelets[M].Ladephia:Society for Industrial and applied Mathetics,1992.
[11]Bear L K,Pavlis G L.利用多子波方法对宽频带地震数据的时间残差进行多信道估计[J].刘志远,译.世界地震译丛,2001(1):65–77.
[12]An Ping.Comparison of wavelet selection and band-passfiltering for noise removal for seismic data processing[J].SEG Technical Program Expanded Abstract,2008(27):2662–2665.
[13]Pann K,Shin Y.A class of convolutional timevarying fil-ters[J].Geophysics,1976,41(1):28–43.
[14]牟永光.地震勘探资料数字处理方法[M].北京:石油工业出版社,1986.
[15]俞寿朋.高分辨率地震勘探[M].北京:石油工业出版社,1999.
[16]吴志强,田志福,丁国栋,等.鄂尔多斯盆地塔巴庙工区下石盒子组砂岩储层综合预测技术[J].石油物探,2000,39(3):26–35.WuZhiqiang,TianZhifu,DingGuodong,etal.Integratedprediction techniques for sand reservoirs at lower ShiheziFormation of Tabamiao area in Erdos Basin[J].Geophy-sical Prospecting for Petrole,2000,39(3):26–35.
[17]边树涛,董艳蕾,郑浚茂.地震波频谱衰减检测天然气技术应用研究[J].石油地球物理勘探,2007,42(3):296–300.Bian Shutao,Dong Yanlei,Zheng Junmao.Study on ap-plication of seismic frequency spectrum attenuation to de-tect natural gas[J].Oil Geophysical Prospecting,2007,42(3):296–300.
[18]徐长贵,于水,林畅松,等.渤海海域古近系湖盆边缘构造样式及其对沉积层序的控制作用[J].古地理学报,2008,10(6):627–635.Xu Changgui,Yu Shui,Lin Changsong,et al.Structuralstyles of the Paleogene lacustrine basin margin and theircontrol on sedimentary sequences in Bohai Sea area[J].Journal of Palaeogeography,2008,10(6):627–635.
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