Study on the shallow gas distribution in Yeongil Bay using seismic attribute analysis

IF 1 4区 地球科学 Q4 GEOSCIENCES, MULTIDISCIPLINARY Geosciences Journal Pub Date : 2024-02-22 DOI:10.1007/s12303-023-0044-3
Jongpil Won, Jungkyun Shin, Jiho Ha, Hyunggu Jun
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Abstract

Seismic attribute analysis, a method of highlighting important information in seismic data, has been used in various fields. Recently, several studies have used seismic attributes to interpret seismic anomalies associated with subsurface gas. In this study, we applied seismic attribute analysis to seismic data acquired in Yeongil Bay to identify the subsurface gas distribution. Before applying seismic attributes to the Yeongil Bay seismic data, we selected promising seismic attributes and applied them to F3 Block seismic data to analyze the relation between the seismic attributes and seismic anomalies caused by subsurface gas. Since there are previous studies on the subsurface gas in the F3 Block, we could identify the characteristics of the seismic attributes based on the F3 Block seismic data. Then, we applied the selected seismic attributes to the Yeongil Bay seismic data to define the subsurface gas distribution. Through seismic attribute analysis, a three-dimensional gas distribution model of Yeongil Bay was generated, and this model can provide quantitative information on the subsurface geology of Yeongil Bay.

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利用地震属性分析研究永吉湾浅层天然气分布
地震属性分析是一种突出地震数据中重要信息的方法,已被用于多个领域。最近,一些研究利用地震属性来解释与地下天然气有关的地震异常。在本研究中,我们将地震属性分析应用于在永吉湾获取的地震数据,以确定地下天然气的分布。在将地震属性应用于永吉湾地震数据之前,我们选择了一些有前景的地震属性,并将其应用于 F3 区块地震数据,以分析地震属性与地下天然气引起的地震异常之间的关系。由于之前已有关于 F3 区块地下天然气的研究,我们可以根据 F3 区块的地震数据确定地震属性的特征。然后,我们将选定的地震属性应用于永吉湾地震数据,以确定地下天然气分布。通过地震属性分析,生成了永吉湾三维气体分布模型,该模型可提供永吉湾地下地质的定量信息。
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来源期刊
Geosciences Journal
Geosciences Journal 地学-地球科学综合
CiteScore
2.70
自引率
8.30%
发文量
33
审稿时长
6 months
期刊介绍: Geosciences Journal opens a new era for the publication of geoscientific research articles in English, covering geology, geophysics, geochemistry, paleontology, structural geology, mineralogy, petrology, stratigraphy, sedimentology, environmental geology, economic geology, petroleum geology, hydrogeology, remote sensing and planetary geology.
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