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Double-blended Seismic Acquisition for High- resolution Imaging

机译:高分辨率成像的双混震作采集

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In current seismic acquisition, the firing times between shots is sufficiently large to avoid temporal overlap between records. To economize on survey time, the current compromise is to keep the number of shots to an acceptable minimum. The result is a poorly sampled source domain. We propose to abandon the condition of non-overlapping shot records to allow densely sampled, wide-azimuth source distributions ( source blending ). The rationale is that interpolation is much harder than separation. Blending has significant implications for quality and economics. The blending concept can also be applied in the detector space ( detector blending ). Then, the recording channels consist of a superposition of detected signals, each signal with its own code. With detector blending, many more detectors can be used for the same number of recording channels. This is particularly beneficial when the number of channels is limited, like in wireless recording or OBS. The concept of double blending is defined as the case where both source blending and detector blending are applied. Double blending allows a significant data compression during acquisition. After a deblending procedure, existing processing schemes can be used. However, the challenge is to design new algorithms that do not require a deblending preprocessing step.
机译:在目前的地震采集中,射击之间的射击时间足够大以避免记录之间的时间重叠。为了节约调查时间,目前的妥协是将镜头的数量保持在可接受的最低限度。结果是一个差别源域。我们建议放弃非重叠拍摄记录的条件,以允许密集采样,宽方位点源分布(源混合)。理由是插值比分离更难。混合对质量和经济性具有重大影响。混合概念也可以应用于检测器空间(检测器混合)。然后,记录信道由检测信号的叠加组成,每个信号与其自己的代码。通过探测器混合,可以使用更多的检测器用于相同数量的记录通道。当信道的数量有限时,这是特别有益的,例如在无线记录或OBS中。双混合的概念被定义为施加源混合和检测器混合的情况。双混合在采集期间允许大量数据压缩。在脱模过程之后,可以使用现有的处理方案。然而,挑战是设计新的算法,这些算法不需要脱流预处理步骤。

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