应用光谱分解识别第聂伯-顿涅茨凹陷北缘岩性目标

І. L. Mykhalevych
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引用次数: 0

摘要

论述了一种有效的地震资料分析方法——谱分解。该方法已在世界范围内用于识别额外的地质特征,作为在复杂地质构造条件下识别古河道、透镜体和薄地层的地震地貌学工具。应该指出的是,光谱分解并不是识别烃饱和度的直接工具。通过将地震数据分解为频率元素,它允许以RGB格式(红、绿、蓝)表示地震数据。以第聂伯-顿涅茨凹陷北缘碳时代气田为例,介绍了地震资料谱分解方法在陆源沉积中的应用结果。根据已有的地震资料分析结果表明,在厚、多孔砂体中,谱分解结果合理,信息量最大的频率为25、28、31、37、39、47、56 Hz。通过确认莫斯科和巴什基里安时代真正存在的矿床,光谱分解使我们有理由认为这种方法是在DDD北部边缘使用的有效工具,因为后者通常对岩性有明显的反应,有时甚至对饱和度有反应。分析了8个最具代表性的层位:М-2а、М-3а、М-4、М-6、М-7、B-6(不同地层)、B-7和S-6。在M-2a层(矿床已通过钻井确认)、M-3a层(矿床和古河道已通过钻井确认)、M-4层(古河道)得到了最明确的结果。将光谱分解与其他地球物理方法的结果相结合,识别出一些透视目标。AVO和Vp/Vs分析结果证实了这些体的存在。两个目标均为位于最优条件下的两口探井服务。说明在有构造因素的个别透镜体和水道体找矿时,应特别采用光谱分解作为地质找矿工具。
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Applying spectral decomposition for identifying lithological objects within Northern edge of Dnieper-Donets Depression
The article dwells upon the effective method of seismic data analysis called spectral decomposition. This method has been used worldwide for identifying additional geological features, as a tool for seismic geomorphology in the conditions of complicated geological structures during identification of paleochannels, lenses, and thin formations. It should be noted that spectral decomposition is not a direct tool for identifying the hydrocarbon saturation. It allows to represent the seismic data in the RGB format (red, green, blue) by way of decomposing seismic data into frequency elements. Authors demonstrate results of applying the seismic data spectral decomposition method within the terrigenous deposits on the example of gas fields in the Carbon age within the northern edge of Dnieper-Donets Depression.  Based on the results of the available seismic material analysis, it has been shown that within thick and porous sand bodies, spectral decomposition demonstrates reasonable results, and the most informative frequencies are 25, 28, 31, 37, 39, 47, 56 Hz. By confirming the really existing deposits in the Moskovian and Bashkirian ages, spectral decomposition gives grounds for considering this method an effective tool to be used within the northern edge of the DDD, because the latter usually clearly responds to lithology, and sometimes even to saturation. The 8 most representative horizons have been analyzed: М-2а, М-3а, М-4, М-6, М-7, B-6 (at different stratigraphic levels), B-7 and S-6. The most definite results have been received within the following horizons: M-2a (the deposit has been confirmed by drilling), M-3a (the deposit and paleochannel have been confirmed by drilling), M-4 (paleochannel). Having regarded the spectral decomposition in complex with the results of other geophysical methods, some perspective objects have been identified. The bodies have been confirmed by the results of AVO and Vp/Vs analyses. Both objects served the targets for two prospecting wells located in the most optimal conditions. It has been brightly illustrated that the spectral decompositions as a tool for geological prospecting  should be specifically used when some individual lenses and channel bodies are being prospected, with structural factor being present.
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