被动地震
地质学
区域地质
地震学
反射(计算机编程)
表面波
经济地质学
工程地质
环境地质学
地震波
地震噪声
宽带
地震干涉测量
地震勘探
干涉测量
地球物理成像
垂直地震剖面
噪音(视频)
能量(信号处理)
光学
计算机科学
变质岩石学
图像(数学)
人工智能
电信
物理
火山作用
统计
构造学
程序设计语言
数学
作者
F. Balestrini,Deyan Draganov,Alireza Malehmir,Paul Marsden,Ranajit Ghose
标识
DOI:10.1111/1365-2478.12890
摘要
ABSTRACT In mineral exploration, new methods to improve the delineation of ore deposits at depth are in demand. For this purpose, increasing the signal‐to‐noise ratio through suitable data processing is an important requirement. Seismic reflection methods have proven to be useful to image mineral deposits. However, in most hard rock environments, surface waves constitute the most undesirable source‐generated or ambient noise in the data that, especially given their typical broadband nature, often mask the events of interest like body‐wave reflections and diffractions. In this study, we show the efficacy of a two‐step procedure to suppress surface waves in an active‐source reflection seismic dataset acquired in the Ludvika mining area of Sweden. First, we use seismic interferometry to estimate the surface‐wave energy between receivers, given that they are the most energetic arrivals in the dataset. Second, we adaptively subtract the retrieved surface waves from the original shot gathers, checking the quality of the unveiled reflections. We see that several reflections, judged to be from the mineralization zone, are enhanced and better visualized after this two‐step procedure. Our comparison with results from frequency‐wavenumber filtering verifies the effectiveness of our scheme, since the presence of linear artefacts is reduced. The results are encouraging, as they open up new possibilities for denoising hard rock seismic data and, in particular, for imaging of deep mineral deposits using seismic reflections. This approach is purely data driven and does not require significant judgment on the dip and frequency content of present surface waves, which often vary from place to place.
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