4D Ocean Bottom Node Decimation Study over the North Sea Golden Eagle Field

I. Gregory, Z. Dobó, F. Ebrahim, J. Sinden, P. Mcdonnell, A. Wilson
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Abstract

Summary Ocean Bottom Node (OBN) surveys provide full azimuth coverage with long offsets and rich bandwidth. These attributes improve the resolution, stability, and steep-dip fidelity of seismic images derived from the data, which are desirable for 4D monitoring of a producing oilfield. However, acquisition of OBN data is expensive, and it is important to understand the impact of receiver density (which directly affects the acquisition cost) on the resultant seismic image. Here, using a dense North Sea 4D dataset, we demonstrate the impact of node density on both the 3D and 4D seismic image by migrating progressively sparser node configurations (including 50x300 m and 300x300 m cases) and comparing the results. It is shown that 4D image quality is more sensitive to changes in node density than is the 3D image. Furthermore, an acceptable sparse survey for 3D imaging may be inadequate for 4D applications. Attempts to mitigate the effects of reduced node density with processing methods show partial success for 4D imaging, but serve to highlight the importance of suitable node density in 4D survey design for North Sea OBN data. Our tests suggest a minimum node density of 100x300 m is necessary for this 4D example.
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北海金鹰油田海底节点的4D抽取研究
海底节点(OBN)测量提供了长偏移量和丰富带宽的全方位覆盖。这些属性提高了从数据中获得的地震图像的分辨率、稳定性和陡倾角保真度,这对于生产油田的四维监测是理想的。然而,OBN数据的采集是昂贵的,重要的是要了解接收器密度(直接影响采集成本)对所得地震图像的影响。在这里,我们使用密集的北海四维数据集,通过逐步迁移更稀疏的节点配置(包括50x300米和300x300米的情况)并比较结果,展示了节点密度对3D和4D地震图像的影响。结果表明,与三维图像相比,四维图像质量对节点密度的变化更为敏感。此外,用于3D成像的可接受的稀疏调查可能不适用于4D应用。尝试通过处理方法减轻节点密度降低的影响,在四维成像中取得了部分成功,但也凸显了北海OBN数据四维调查设计中适当节点密度的重要性。我们的测试表明,对于这个4D示例,需要最小节点密度为100x300 m。
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