Application of Hilbert-Huang transform method in fine illustrating shallow marine sediment system
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摘要: 位于马来盆地与西纳土纳盆地交汇处的研究区上新统−更新统发育复杂的浅海、海陆过渡相水下分支河道体系,常规的地震资料无法进行精细识别刻画。通过对叠后地震资料进行希尔伯特−黄变换,提取了地震资料高频分量,提高了地震资料的分辨率,有效识别了薄层砂泥岩交互特征和细微沉积体。通过对高频分量进行瞬时属性提取,明确了目的层段水下分支河道的平面展布特征。与常规叠后地震属性相比,经过希尔伯特−黄变换后的叠后地震资料提取的瞬时属性显示了更多沉积体系的细节特征,为水下分支河道的内部结构、发育期次、切割关系等时空演化研究提供了更高分辨率的地震数据。Abstract: The complex subaqueous channel system of shallow and transition facies is developed in the Pliocene-Pleistocene strata at the conjunction area of Malay Basin and West Natuna Basin, and can not be characterized in detail by conventional seismic data. By applying Hilbert-Huang transform to post-stack seismic data, the high frequency components of seismic data were extracted, the resolution of seismic data was improved, and the interaction characteristics of thin layer sand and mudstone and small sedimentary bodies were identified effectively. Through the instantaneous attribute extraction of the high frequency component, the plane distribution characteristics of the underwater branch channels in the target interval are defined. Compared with conventional post-stack seismic attributes, the instantaneous attributes extracted from post-stack seismic data after Hilbert-Huang transform show more detailed features of sedimentary system. And it provides high-resolution seismic data for the study of spatio-temporal evolution of underwater branch channels, such as internal structure, development period and cutting relationship.
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图 5 理论信号黄分解本征模态分量图
a. 理论原始信号;b. 黄分解第一本征模态分量;c. 黄分解第二本征模态分量;d. 黄分解第三本征模态分量;e. 黄分解第四本征模态分量;f. 残余分量
Fig. 5 Eigenmode component diagram of theoretical signal Huang transform
a. Theoretical original signal; b. the first eigenmode component of Huang transform; c. the second eigenmode component of Huang transform; d. the third eigenmode component of Huang transform; e. the fourth eigenmode component of Huang transform; f. residual component
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