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Geophone Noise Attenuation and Wave-field Separation Using a Multi-dimensional Decomposition Technique

机译:使用多维分解技术的地震孔噪声衰减和波场分离

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Perhaps the largest single obstacle to overcome in wave-field separation of P-Z data is the presence of noise energy (non P-wave specific) on the geophone that is not present on the hydrophone. In general, the noise manifests as coherent energy on common receiver gathers with moveout characteristics of converted wave velocity, and with relatively random phase and amplitude on shot gathers. Here we introduce a new method for processing dual sensor data, particularly in deep water, that includes intrinsic removal of V(z) noise as well as enhancing the wave-field separation. This method is based on a decomposition of data simultaneously into dip and frequency while retaining temporal locality. This energy has often been associated with acquisition integrity related issues such as coupling and phone orientation. Only recently, alternative explanations have been developed that describe a mechanism that will produce exactly the same type of energy (Paffenholz et al., 2006a, 2006b). This description explains all observed characteristics of the spurious energy on the geophones. This noise, hereafter referred to as "V (z) noise", often is so severe that without adequate tools for removal, the advantages of dual-component ocean bottom acquisition are practically negated.
机译:也许在P-Z数据的波场分离中克服的最大单个障碍是在水听筒上不存在的地理孔上存在噪声能量(非P波特定)。通常,噪声表现为普通接收器上的连贯能量,随着转换波速度的偏移特性,并且在射击聚集上具有相对随机的相位和幅度。在这里,我们介绍一种用于处理双重传感器数据的新方法,特别是在深水中,包括内在地去除V(Z)噪声以及增强波场分离。该方法基于数​​据分解,同时进入DIP和频率,同时保持时间位置。这种能量经常与获取完整性相关问题相关联,例如耦合和电话方向。最近,已经开发了替代解释,描述了一种能够产生完全相同类型的能量的机制(Paffenholz等,2006a,2006b)。本说明书介绍了地理位音中杂散能量的所有观察到的特征。这种噪声,此后称为“V(Z)噪声”,通常是如此严重的是,没有足够的去除工具,实际否定了双组分海底采集的优点。

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