Processing and imaging of a multi-petabyte OBN survey in the North Sea

T. Rayment, G. Hampson, L. Letki
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Abstract

Summary The Utsira ocean-bottom node (OBN) survey was acquired during 2018/19 covering 1510 km2 over the Utsira high, which is ~90 nautical miles west of Stavanger. As it was acquired using several asynchronous triple-source vessels, deblending was an essential step to recover signal at target depths. Deblending also removed very strong nearby seismic interference, by using the interfering survey’s shot times, with as many as 14 active sources firing. Up-down deconvolution is a key step to address the challenges observed in the area as it achieves both free-surface multiple elimination and 3D signature deconvolution. A similar approach was developed to tackle the same issues for the down-going wavefield resulting in a more effective and efficient processing flow for imaging shallow targets than conventional techniques. The long offsets and rich azimuthal sampling of the wavefield meant FWI could solve model building and imaging challenges over a range of depths. Such challenges included shallow channels and deeper cemented sand injectites. This survey illustrates how advances in acquisition and processing technologies enable large-scale, high-density OBN surveys to be acquired and processed in accelerated time frames leading to new insights even in relatively well-explored areas.
北海多pb OBN测量的处理和成像
Utsira海底节点(OBN)调查于2018/19年进行,覆盖Utsira高地1510平方公里,位于斯塔万格以西约90海里。由于是使用多个异步三源容器采集的,因此在目标深度恢复信号的关键步骤是去混。通过使用干扰测量的射击时间,除混还消除了附近非常强烈的地震干扰,其中多达14个活动震源发射。上下反褶积是解决该地区观测挑战的关键步骤,因为它既可以实现自由面多次消除,又可以实现3D特征反褶积。研究人员开发了一种类似的方法来解决下行波场的相同问题,从而使成像浅层目标的处理流程比传统技术更有效和高效。长偏移量和丰富的波场方位角采样意味着FWI可以解决在一定深度范围内的模型构建和成像挑战。这些挑战包括浅层通道和深层固井注砂。该调查说明了获取和处理技术的进步如何使大规模、高密度OBN调查能够在加速的时间框架内获得和处理,甚至在相对勘探充分的地区也能产生新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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