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Pattern Recognition Applied to Attenuation of Multiples in Subsalt Imaging

机译：模式识别应用于余量成像中倍数的衰减

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摘要

It is well known that high impedance contrasts between salt bodies and their surroundings yield blurriness in seismic images which does not allow adequate interpretation; some of the artifacts generated by this process are multiple reflections and diffractions. In this work we propose a novel method of detection and attenuation of multiples from seismic gathers which is based on pattern recognition and fuzzy logic. In order to corroborate the effectiveness of this new approach, we use synthetic models which mimic a region intensely affected by salt tectonics in deep-water Gulf of Mexico. We obtained synthetic seismic sections by simulating wave propagation with an FDTD-CPML formulation. Detection of seismic events is performed through the mapping of parabolic shapes in shot gathers that approximate the recorded wavefronts. Undesired multiple events are then surgically attenuated by using fuzzy threshold criteria. Results show an optimal attenuation of multiple events, even when they are not directly related to salt structures.
机译：众所周知，盐体与周围环境之间的高阻抗对比地震图像中的模糊性，其不允许充分的解释;由该过程产生的一些伪像是多重反射和衍射。在这项工作中，我们提出了一种基于模式识别和模糊逻辑的地震收集的倍数检测和衰减的新方法。为了证实这种新方法的有效性，我们使用综合模型，这些模型模仿受墨西哥深水湾海湾盐构造浓度影响的区域。通过使用FDTD-CPML配方模拟波传播来获得合成地震切片。通过抛光物形状的映射来进行地震事件的检测，镜头映射近似记录的波前。然后通过使用模糊阈值标准来传递不期望的多个事件。结果显示出多种事件的最佳衰减，即使它们与盐结构直接相关。

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