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首页> 外文期刊>Journal of natural gas science and engineering >Data processing and interpretation schemes for a deep-towed high-frequency seismic system for gas and hydrate exploration
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Data processing and interpretation schemes for a deep-towed high-frequency seismic system for gas and hydrate exploration

机译:天然气和水合物勘探深牵引高频地震系统的数据处理和解释方案

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摘要

The deep-towed Autonomous Cable Seismic (ACS) system is a high-resolution acoustic survey system designed for use in deep-water environments. This system uses a high-frequency acoustic source and a multichannel receiver cable. A common problem in the analysis of deep-towed ACS data is the unstable positioning of the source and receivers due to ocean currents and seafloor bathymetry. Since the data acquisition using high-frequency source with unstable source-receiver positions causes destructive interference on the final stack profile, correction of the unstable source-receiver is a crucial issue. In this study, we propose a method to solve the unstable source-receiver position problem and thus to construct an accurate final stack profile. We used deep-towed ACS data acquired in the Joetsu Basin in Niigata, Japan, where hydrocarbon features in the form of gas chimneys, gas hydrate, and free gas have been observed. Because sidelobes in the ACS source signature defocus the source wavelet and decrease the bandwidth frequency content, we designed a filter to focus the source signature. Our proposed approach considerably improved the quality of the final stack profile. Even though depth information was not available for all receivers, the velocity spectra in the velocity analysis were well focused. Furthermore, shaping the source wavelet considerably increased the bandwidth frequency of the source signature. We applied seismic attribute analysis to the post-stack profile to identify the distributions of free gas and hydrate. Our seismic attribute analyses for the high-frequency ACS data demonstrated that free gas accumulations are characterized by low reflection amplitude and an unstable frequency component, and that hydrate close to the seafloor can be identified by its high reflection amplitude.
机译:深拖式自主电缆地震(ACS)系统是一种高分辨率声学测量系统,设计用于深水环境。该系统使用高频声源和多通道接收电缆。深拖ACS数据分析中的一个常见问题是,由于洋流和海底测深,源和接收器的定位不稳定。由于使用具有不稳定源-接收器位置的高频源进行数据采集会对最终叠加剖面造成破坏性干扰,因此不稳定源-接收器的校正是一个关键问题。在这项研究中,我们提出了一种方法来解决不稳定的源-接收器位置问题,从而构建精确的最终堆栈轮廓。我们使用了在日本新泻的Joetsu盆地获得的深拖ACS数据,在那里观察到了以气体烟囱、气体水合物和游离气体形式存在的碳氢化合物特征。由于ACS信源信号中的旁瓣会使信源小波散焦并降低带宽频率含量,因此我们设计了一个滤波器来聚焦信源信号。我们提出的方法大大提高了最终堆栈配置文件的质量。尽管并非所有接收器都能获得深度信息,但速度分析中的速度谱聚焦良好。此外,对源小波进行整形显著增加了源特征的带宽频率。我们将地震属性分析应用于叠后剖面,以识别游离气和水合物的分布。我们对高频ACS数据的地震属性分析表明,自由气藏具有反射振幅低、频率成分不稳定的特点,而靠近海底的水合物可以通过其高反射振幅来识别。

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