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Seismic data processing

机译：地震数据处理

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Producing broader bandwidth seismic data has always been a quest since exploration seismic started in the 1930s. Since then, numerous algorithms have been written and tested and some are very effective in extending the useable spectrum in a data set. Spiking deconvolution and spectral balance are just two of the common approaches which have been used over the yeast to achieve higher frequency data. However, as oil and gas become increasingly difficult to find, it is necessary to image much more subtle events; thin sands, small faults, secondary carbonate porosity and pinchouts among them. In order to image these events, much higher fidelity seismic is required. It is no longer feasible to use data with frequencies restricted to a maximum of 50 Hz. To detect subtle structural changes, stratigraphic detail or to ensure that an expensive new well is (or is not) in the same reservoir as a nearby well, frequencies approaching 110 Hz or even higher are often needed. This needs to be achieved at depths previously thought impossible for this level of resolution.
机译：自1930年代开始勘探地震以来，生产更宽带宽的地震数据一直是人们的追求。从那时起，已经编写并测试了许多算法，其中一些算法在扩展数据集中的可用频谱方面非常有效。尖峰解卷积和频谱平衡只是酵母上用于获得更高频率数据的两种常用方法。但是，由于越来越难以找到石油和天然气，因此有必要对更微妙的事件进行成像。薄砂，小断层，次生碳酸盐孔隙度和夹断物。为了对这些事件进行成像，需要更高保真度的地震。使用频率限制为最大50 Hz的数据不再可行。为了检测细微的结构变化，地层细节或确保昂贵的新井与附近的井位于（或不在）同一储层中，通常需要接近110 Hz或更高的频率。这需要在以前对于该分辨率级别无法实现的深度上实现。

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