基于三参数S变换的地震资料时频分析

IF 4 3区 地球科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Naihao Liu, Jing-Hua Gao, Bo Zhang, Fangyu Li, Qian Wang
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引用次数: 62

摘要

S变换(ST)是最常用的时频(TF)分析算法之一,通常用于辅助储层表征和油气探测。不幸的是,ST获得的TF频谱在低频时具有较低的时间分辨率,这降低了其在薄层和通道检测中的能力。在这封信中,我们提出了一个三参数ST (TPST)来灵活地优化TF分辨率。为了证明TPST的有效性,我们首先将其应用于合成数据和合成地震道,然后将其应用于现场数据。综合数据算例表明,与标准ST和带两个参数的改进ST相比,该TPST达到了优化的TF分辨率。现场数据实验表明,TPST在突出通道边缘方面优于ST。TPST产生的频率片的横向连续性比ST更连续。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time–Frequency Analysis of Seismic Data Using a Three Parameters S Transform
The S transform (ST) is one of the most commonly used time–frequency (TF) analysis algorithms and is commonly used in assisting reservoir characterization and hydrocarbon detection. Unfortunately, the TF spectrum obtained by the ST has a low temporal resolution at low frequencies, which lowers its ability in thin beds and channels detection. In this letter, we propose a three parameters ST (TPST) to optimize the TF resolution flexibly. To demonstrate the validity and effectiveness of the TPST, we first apply it to a synthetic data and a synthetic seismic trace and then to a filed data. Synthetic data examples show that this TPST achieves an optimized TF resolution, compared with the standard ST and modified ST with two parameters. Field data experiments illustrate that the TPST is superior to the ST in highlighting the channel edges. The lateral continuity of the frequency slice produced by the TPST is more continuous than that of the ST.
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来源期刊
IEEE Geoscience and Remote Sensing Letters
IEEE Geoscience and Remote Sensing Letters 工程技术-地球化学与地球物理
CiteScore
7.60
自引率
12.50%
发文量
1113
审稿时长
3.4 months
期刊介绍: IEEE Geoscience and Remote Sensing Letters (GRSL) is a monthly publication for short papers (maximum length 5 pages) addressing new ideas and formative concepts in remote sensing as well as important new and timely results and concepts. Papers should relate to the theory, concepts and techniques of science and engineering as applied to sensing the earth, oceans, atmosphere, and space, and the processing, interpretation, and dissemination of this information. The technical content of papers must be both new and significant. Experimental data must be complete and include sufficient description of experimental apparatus, methods, and relevant experimental conditions. GRSL encourages the incorporation of "extended objects" or "multimedia" such as animations to enhance the shorter papers.
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