首页> 外文期刊>Journal of Geosciences and Geomatics >Free Surface Multiple Removal Using 3D Surface Related Multiple Elimination Technique on 3D Seismic Data from Offshore Niger Delta
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Free Surface Multiple Removal Using 3D Surface Related Multiple Elimination Technique on 3D Seismic Data from Offshore Niger Delta

机译:使用3D表面相关多重消除技术对离岸尼日尔三角洲的3D地震数据进行自由表面多重去除

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In addition to de-spiking, gun delay correction, correction for spherical spreading and earth’s absorption, gun and cable correction, zero-phasing, noise attenuation and correction for time shifts between sail lines due to changes in velocity of the water column, multiple elimination is the other important true relative amplitude processing routine desired to produce seismic gathers consistent with DHI and AVO analysis to de-risk the presence of hydrocarbon interpreted from seismic data. Multiple problems associated with seismic data acquired in the Niger Delta offshore are those due mainly to the free air-water interface and the seabed, and their presence constitute noise in the seismic dataset. In this study, we employed an approach in which we convolved all possible source and receiver peglegs for every multiple event that strikes the free surface irrespective of its path in the subsurface to model the multiple wave field in a 3D sense, in a partially processed pre-migration seismic data acquired in the Niger Delta deep offshore. The method of adaptive subtraction was then used to eliminate the modeled multiples from the dataset. Un-like other demultiple techniques such as tau-p deconvolution and radon, our multiple modeling and subtraction techniques do not require prior knowledge of the subsurface geology in terms of the velocity and reflectivity of the multiple wave field. The aim of the study was to improve the overall quality of the seismic data and signal-to-noise ratio, in addition to the DHI and AVO compliant gathers output from the process. The approach was successful and effective in removal of the free, air-water surface multiples from the dataset.
机译:除了去尖峰,喷枪延迟校正,球形扩展和地球吸收的校正,喷枪和电缆校正,零相位,噪声衰减以及由于水柱速度变化而引起的帆线之间时间偏移的校正,多次消除是另一个重要的真实相对振幅处理程序,该程序需要产生与DHI和AVO分析一致的地震道集,以降低从地震数据中解释的碳氢化合物的存在风险。与尼日尔三角洲近海采集的地震数据有关的多个问题主要是由于自由的空气-水界面和海床造成的,这些问题的存在构成了地震数据集中的噪声。在这项研究中,我们采用了一种方法,即对部分撞击自由表面的多个事件(无论其在地下的路径如何)进行卷积,将所有可能的源和接收器桩进行卷积,以部分处理的预模型在3D方向上模拟多波场。尼日尔三角洲深海采集的大地震迁移数据。然后使用自适应减法从数据集中消除建模倍数。与tau-p反卷积和ra等其他分倍技术不同,我们的多重建模和减法技术不需要就多重波场的速度和反射率就先验地表地质知识。这项研究的目的是提高地震数据的整体质量和信噪比,此外还要符合DHI和AVO的要求。该方法成功且有效地从数据集中删除了自由的空气-水表面倍数。

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