摘要：Eliminating seismic wavelet is important in seismic high-resolution processing. However, artifacts may arise in seismic interpretation when the wavelet phase is inaccurately estimated. Therefore, we propose a frequency-dependent wavelet phase estimation method based on the ant colony optimization (ACO) algorithm with global optimization capacity. The wavelet phase can be optimized with the ACO algorithm by fitting nearby-well seismic traces with well-log data. Our proposed method can rapidly produce a frequency-dependent wavelet phase and optimize the seismic-to-well tie, particularly for weak signals. Synthetic examples demonstrate the effectiveness of the proposed ACO-based wavelet phase estimation method, even in the presence of a colored noise. Real data example illustrates that seismic deconvolution using an optimum mixed-phase wavelet can provide more information than that using an optimum constant-phase wavelet. (C) 2015 Elsevier B.V. All rights reserved.

关键字：Wavelet phase estimation Ant colony optimization algorithm Mixed-phase wavelet Deconvolution Weak signal

ISSN号：0926-9851

卷、期、页：卷: 122 页: 159-166

发表日期：2015-11-01

期刊分区（SCI为中科院分区）：四区

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

发表期刊名称：JOURNAL OF APPLIED GEOPHYSICS

参与作者：张锐

通讯作者：马铭

第一作者：王尚旭,袁三一,骆春妹

论文类型：期刊论文

论文概要：王尚旭,袁三一,马铭,张锐,骆春妹，Wavelet phase estimation using ant colony optimization algorithm，JOURNAL OF APPLIED GEOPHYSICS，2015，卷: 122 页: 159-166

论文题目：Wavelet phase estimation using ant colony optimization algorithm