小波变换高分辨率层序地层学研究
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摘要
以大庆长垣杏树岗地区高三组层序地层划分为例,分析了小波变换在高分辨率层序划分中的应用。利用对自然伽马曲线进行Morlet小波变换,将测井曲线信号转换为深度与尺度域的变化关系,得到不同尺度上的小波系数曲线,然后建立最佳尺度因子下的小波系数曲线的周期性振荡特征与各级层序界面的对应关系,最终将最佳尺度因子下的小波系数曲线用于层序的识别与划分。同时,结合地震资料和储层反演等资料验证,实践证明,最佳尺度因子下的小波系数曲线能准确识别出各级层序的界面,因此,利用小波变换进行层序地层划分为高分辨率层序地层学研究了提供一条新的途径。
Taking the division of G3 strata sequence in Daqing Placanticline Xingshugang as example,this paper analyzed the application of wavelet transform in high-resolution sequence stratigraphy.To making morlet wavelet transform on GR curve,log curve signal is converted to the alter relationship between depth and scale domain,receiving wavelet coefficient curve of different scales,then create the corresponding relations between the periodic oscillation characteristics of wavelet coefficients and levels of sequence boundaries wcich are in best scaled factor,and will eventually applying the wavelet coefficients in the best scale factor to the identification and division of the sequence.Meanwhile Combining seismic data and reservoir inversion verify,practice has proved that the wavelet coefficients of the curve in the optimal scale factor can accurately identify the sequence at all levels of the interface,Therefore,the application of wavelet transform in dividing sequence stratigraphy studies has provided a new way for high resolution sequence stratigraphy.
Taking the division of G3 strata sequence in Daqing Placanticline Xingshugang as example,this paper analyzed the application of wavelet transform in high-resolution sequence stratigraphy.To making morlet wavelet transform on GR curve,log curve signal is converted to the alter relationship between depth and scale domain,receiving wavelet coefficient curve of different scales,then create the corresponding relations between the periodic oscillation characteristics of wavelet coefficients and levels of sequence boundaries wcich are in best scaled factor,and will eventually applying the wavelet coefficients in the best scale factor to the identification and division of the sequence.Meanwhile Combining seismic data and reservoir inversion verify,practice has proved that the wavelet coefficients of the curve in the optimal scale factor can accurately identify the sequence at all levels of the interface,Therefore,the application of wavelet transform in dividing sequence stratigraphy studies has provided a new way for high resolution sequence stratigraphy.
引文
[1]袁新涛,沈平平.高分辨率层序框架内小层综合对比方法[J].石油学报,2007,28(6):87-91.
[2]郑希民,郭彦如,刘化清,等.应用自然伽玛测井曲线小波分析划分陆相坳陷盆地三级层序的方法:以鄂尔多斯盆地延长组为例[J].天然气地球科学,2006,17(5):672-676.
[3]陈桂明,张明照,戚红雨.应用Matlab语言处理数字信号与数字图像[M].北京:科学出版社,2000.
[4]王志坤,钟建华,艾合买提江.阿布都热合曼,等.基于小波振幅谱和复小波相位谱的高分辨率层序划分[J].石油学报,2008,29(6):865-869.
[5]刘文业.小波分析在高分辨率层序地层划分中的应用[J].地质力学学报,2006.12(1):64-70.
[6]李江涛,李增学,余继峰,等.基于测井数据小波变换的层序地层对比——以鲁西和济阳地区石炭、二叠系含煤地层为例[J].沉积学报,2005,23(4),639-645.
[7]房文静,范宜仁,邓少贵,等.测井数据小波变换用于准层序研究[J].地层学杂志,2007,31(3):303-308.
[8]李相博,郭彦如,刘化清,等.浅谈小波分析在鄂尔多斯盆地延长组层序地层划分中应用[J].天然气地球科学,2006,17(6):779-782.
[9]李新虎.小波分析在测井层序地层划分中的应用——以二连盆地白音查干凹陷达30井腾格尔组为例[J].天然气地球科学,2008,19(3):385-389.
[2]郑希民,郭彦如,刘化清,等.应用自然伽玛测井曲线小波分析划分陆相坳陷盆地三级层序的方法:以鄂尔多斯盆地延长组为例[J].天然气地球科学,2006,17(5):672-676.
[3]陈桂明,张明照,戚红雨.应用Matlab语言处理数字信号与数字图像[M].北京:科学出版社,2000.
[4]王志坤,钟建华,艾合买提江.阿布都热合曼,等.基于小波振幅谱和复小波相位谱的高分辨率层序划分[J].石油学报,2008,29(6):865-869.
[5]刘文业.小波分析在高分辨率层序地层划分中的应用[J].地质力学学报,2006.12(1):64-70.
[6]李江涛,李增学,余继峰,等.基于测井数据小波变换的层序地层对比——以鲁西和济阳地区石炭、二叠系含煤地层为例[J].沉积学报,2005,23(4),639-645.
[7]房文静,范宜仁,邓少贵,等.测井数据小波变换用于准层序研究[J].地层学杂志,2007,31(3):303-308.
[8]李相博,郭彦如,刘化清,等.浅谈小波分析在鄂尔多斯盆地延长组层序地层划分中应用[J].天然气地球科学,2006,17(6):779-782.
[9]李新虎.小波分析在测井层序地层划分中的应用——以二连盆地白音查干凹陷达30井腾格尔组为例[J].天然气地球科学,2008,19(3):385-389.
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