Low-frequency Model Update Using Adjustive FWI at Clair Ridge

A. Bullock, S. Roy
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Abstract

Summary Clair Ridge, located West of Shetland, is the new development phase for the Clair field in an area with near-surface velocity variability that causes challenges for traditional full-waveform inversion (FWI). A hard seabed with fast velocities and an inversion below, as well as shallow channelling, pock marks, and gas within the overburden, result in image distortion and severe multiple challenges. To prepare for the new ultra-dense ocean-bottom node (OBN) data set, a pre-acquisition model building strategy made use of legacy data sets to simplify the initial model and conclude the first successful FWI in this area. Adjustive FWI enabled this solution at Clair field by mitigating the requirements for standard least-squares methods that are difficult to meet in this area. Imaging with a simplified initial model and adjustive FWI delivers structural simplicity, enhanced amplitudes, and continuity, giving significant improvements from the overburden to the reservoir level. Reflection based FWI was tested and added details outside the coverage of diving-wave penetration and improved structural imaging around the reservoir. The addition of reflections also allows the velocity update to be extended deeper.
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利用克莱尔岭可调FWI进行低频模型更新
Clair Ridge位于设得兰群岛西部,是Clair油田的新开发阶段,该地区近地表速度多变,给传统的全波形反演(FWI)带来了挑战。快速的硬海床和下面的反演,以及覆盖层内的浅通道、麻袋痕迹和气体,都会导致图像失真和严重的多重挑战。为了准备新的超密集海底节点(OBN)数据集,采用了一种预采集模型构建策略,利用遗留数据集简化初始模型,并在该地区成功完成了第一次FWI。可调整的FWI减轻了在该地区难以满足的标准最小二乘方法的要求,从而使Clair油田的解决方案成为可能。使用简化的初始模型和可调整的FWI进行成像,可以简化结构,增强振幅和连续性,从上覆层到储层都有显著改善。基于反射的FWI进行了测试,增加了潜水波穿透范围之外的细节,并改善了储层周围的结构成像。反射的添加也允许速度更新扩展到更深的层次。
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