地震资料非高斯信息分析提取方法及油气预测
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摘要
从讨论实际地震记录高阶累积量分析入手,研究利用高阶累积量计算高阶谱的方法.在分析高阶累积量及高阶谱提取分离具有非高斯分布信号时,详细讨论了产生非高斯分布的地震记录的特征规律.阐明了用地震资料的低频高阶谱预测砂体含油气性的机理.从理论模型和实际资料论证了研究方法的正确性.最后利用该方法计算的高阶谱结果和实际产油气井资料进行符合率验证分析.在此基础上,利用该方法进行有利含油气层预测.
On the bases of researching structure and deposit in oil-gas field,we study the new method of prediction oil and gas by seismic data.We research the approach of calculating high order spectrum utilizing high order accumulation through analyses actual seismic data.When the non-Gauss distribute information is collected by means of analyzing the high order spectrum utilizing high order accumulation,the geological condition and reason of coming into Gauss and non-Gauss distributes is discussed.We clarify the mechanism of prediction oil and gas using seismic lower frequency data.The method is approved through theory model ,finally the bearing gas well according high order spectrum results of being calculating with researched the method is analyzed.On the base,we conduct to predict the better gas layers.
On the bases of researching structure and deposit in oil-gas field,we study the new method of prediction oil and gas by seismic data.We research the approach of calculating high order spectrum utilizing high order accumulation through analyses actual seismic data.When the non-Gauss distribute information is collected by means of analyzing the high order spectrum utilizing high order accumulation,the geological condition and reason of coming into Gauss and non-Gauss distributes is discussed.We clarify the mechanism of prediction oil and gas using seismic lower frequency data.The method is approved through theory model ,finally the bearing gas well according high order spectrum results of being calculating with researched the method is analyzed.On the base,we conduct to predict the better gas layers.
引文
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[2]杨晨明.高阶统计量在检测中的应用[J].信号处理,1995,11(4):710~717.
[3]杜宁平,史军朱红涛.高阶统计量分析在油气预测中的应用[J].海洋地质动态,2004,20(8):27~29.
[4]宋维琪,曹自强,刘仕友.多尺度四阶累积量相关分析方法及其应用[J].石油物探,2006,45(6):607~610.
[5]Lu W K,Li Y D,Zhang S W,et al.Higher-order-statisticsand supertrace-basedcoher ehce-estimational gorithm[J].Geophsics,2005,70(3):13~18.
[6]Walden A T.Non-Gaussian reflectivity,eentroy,and deconvo-lution[J].Geophysics,1985,50(12):2862~2888.
[7]Liang G H,Caai X P,Li Q Y.Using high-order cumulants toextrapolate spatially variant seismic wavelets[J].Geophysics,1997,62(6):1947~1876.
[8]田晓峰,张先康,杨卓欣,徐朝繁.反射波走时高阶多项式拟合在三维地震透射中的应用[J].地球物理学进展,2007,22(3):913~918.
[9]张三宗,徐义贤.地震记录小波域高阶相关叠加技术[J].地球物理学报,2006,49(2):554~560.
[10]张贤达.时间序列分析——高阶统计量方法[M].北京:清华大学出版社,1996.
[11]梁应敞等.高阶累积量在谱估计中的应用[J].电子学报,1992,20(4):93~96.
[12]康晓涛,石要武,张丽丽.谐波恢复的互高阶累计量Hankel矩阵法[J].电子学报,2005,33(1):67~69.
[13]徐健,杜丽娟.信噪比的高阶累计量算法研究[J].聊城大学学报,2006,19(3):90~93.
[14]Pauluzzi D R,Beaulieu N C.A comparison of SNR estima-tion techniques for the AWGN channel[J].IEEE Trans onCommunications,2000,48(10):168l~1691.
[15]赵梨丰,傅坚.基于高阶累计量的自适应波束形成[J].青岛海洋大学学报,2000,30(4):690~696.
[16]廖桂生,保铮,等.基于高阶统计量的自适应非线性波束形成新算法[J].电子学报,1997,25(3):102~104.
[17]李志华.高阶统计量方法在地球物理学中的应用[J].工程地球物理学报,2006,3(5):386~391.
[18]石殿祥.基于高阶累积量的非最小相位地震子波提取[J].石油地球物理勘探,1999,34(5):491~499.
[19]尹成,伍志明.邓怀群高阶统计量方法在地震勘探中的应用[J].地球物理学进展,2003,18(3):546~550.
[20]唐兵,尹成.基于高阶统计的非最小相位地震子渡恢复[J].地球物理学报,2001,44(3),404~410.
[21]尹成,唐兵,谢桂生.地震子波估计一高阶曩积量矩阵方程法[J].信号处理,2000,16(增刊):83~87.
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