摘要：When seismic waves propagate through the earth, their high-frequency energy is absorbed by subsurface viscoelastic media. Seismic wavelet appears to be stretched out, as it is dominated by low-frequency components. In order to enhance seismic resolution, we propose here a wavelet compression method that utilizes the scale characteristic in the Fourier transform. The novelty of the scheme is a frequency-dependent scaling that extends the amplitude spectrum to both high- and low-frequency axes simultaneously. This is for the first time to make this frequency-dependent proposal, instead of a constant scaling scheme in the classic Fourier theory. It compresses seismic wavelet in the time domain and also simplifies the wavelet form effectively. This frequency-dependent scaling scheme leads to a transferring filter that is applicable to seismic field data. It results in an improvement in data resolution and in the ability of thin-layer identification, which will facilitate further seismic inversion and reservoir characterization.
© 2004-2012 IEEE.

ISSN号：1545-598X

卷、期、页：v 15,n 5,p654-658

发表日期：2018-05-01

期刊分区（SCI为中科院分区）：三区

收录情况：SCIE（科学引文索引网络版）,ESI（基本科学指标数据库）,EI（工程索引）

发表期刊名称：IEEE Geoscience and Remote Sensing Letters

参与作者：王仰华

第一作者：陈双全

论文类型：期刊论文

论文概要：陈双全,王仰华，Seismic Resolution Enhancement by Frequency-Dependent Wavelet Scaling，IEEE Geoscience and Remote Sensing Letters，2018，v 15,n 5,p654-658

论文题目：Seismic Resolution Enhancement by Frequency-Dependent Wavelet Scaling