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Source wavelet correction for practical Marchenko imaging: A sub-salt field-data example from the Gulf of Mexico

机译:实用Marchenko成像的源小波校正:来自墨西哥湾的亚盐场数据示例

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摘要

Imaging a target zone below a salt body can be challenging because large velocity contrasts in the overburden between the salt and surrounding sediments generate internal multiples, which interfere with primary reflections from the target level in the imaging process. This can lead to an erroneous interpretation of reflections in the sub-salt area if multiples are misinterpreted as primaries. The Marchenko redatuming method may enable imaging of the sub-salt target area where the effect of the multiply-scattering overburden is removed. This is achieved by creating a redatumed reflection response where virtual sources and receivers are located below the overburden using a macromodel of the velocity field and the surface reflection data. The accuracy of the redatumed data and the associated internal multiple removal, however, depends on the accurate knowledge of the source wavelet of the acquired reflection data. For the first time, we propose a method which can accurately and reliably correct the amplitudes of the reflection response in field data as required by the Marchenko method. Our method operates by iteratively and automatically updating the source function so as to cancel the most artefact energy in the focusing functions, which are also generated by the Marchenko method. We demonstrate the method on a synthetic dataset and successfully apply it to a field dataset acquired in a deep-water salt environment in the Gulf of Mexico. After the successful source wavelet estimation for the field dataset, we create sub-salt target-oriented images with Marchenko redatumed data. Marchenko images using the proposed source wavelet estimation show clear improvements, such as increased continuity of reflectors, compared to surface-based images and to conventional Marchenko images computed without the inverted source wavelet. Our improvements are corroborated by evidence in the literature and our own synthetic results.
机译:对盐体下方的目标区域进行成像可能具有挑战性,因为盐与周围沉积物之间的覆盖层中的大速度差异会产生内部倍数,这会干扰成像过程中目标水平的主要反射。如果将倍数错误地解释为主盐,则可能导致对盐下层反射的错误解释。马尔琴科的重新划定方法可以实现盐分目标区域的成像,在该盐分目标区域中消除了多重散射覆盖层的影响。通过使用速度场和表面反射数据的宏模型,在虚拟源和接收器位于覆盖层下方的情况下,创建重新计算的反射响应,可以实现此目的。但是,重新计算的数据和相关的内部多次去除的准确性取决于所获取反射数据的源小波的准确知识。我们首次提出了一种方法,该方法可以按照Marchenko方法的要求,准确,可靠地校正场数据中反射响应的幅度。我们的方法通过迭代和自动更新源函数进行操作,以消除聚焦函数中也由Marchenko方法生成的最大伪像能量。我们在合成数据集上演示了该方法,并将其成功地应用于在墨西哥湾深水盐环境中获取的现场数据集。成功地对现场数据集进行小波源估计后,我们使用Marchenko重新计算的数据创建了以盐分为目标的图像。与基于曲面的图像和不带反演源小波的常规Marchenenko图像相比,使用建议的源小波估计的Marchenko图像显示出明显的改进,例如反射器的连续性增强。文献证据和我们自己的综合结果证实了我们的改进。

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