克莱尔·里奇:从处理英国最密集的OBN调查中学习

P. Tillotson, D. Davies, M. Ball, L. Smith
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引用次数: 2

摘要

2017年,英国石油公司在克莱尔油田进行了有史以来最密集的全油田海洋海底节点(OBN)调查。源采样为25m × 25m,接收器间隔为50m × 100m,超高密度OBN (UHDOBN)采样比之前的2010年克莱尔岭超高密度obbn高一个数量级。此次调查的主要目标是为Clair Ridge地区建立一个4D基线,但该数据也希望解决几个3D静态成像问题。其中包括通过插值了解数据的分辨率限制,改进PP和PS数据上关键储层段的3D成像,以及利用数据密度和丰富的方位角分布,通过方位角速度分析进行可靠的裂缝表征。速度模型是从头开始重建的,然后在调查开始之前使用FWI使用传统的HDOBC数据成功更新。最终处理的UHDOBN PP和PS图像在现场数据交付给处理承包商后的12个月内完成,并提供了成像和属性质量的逐步改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Clair Ridge: Learnings From Processing the Densest OBN Survey in the UKCS
Summary In 2017 BP acquired its densest ever full field marine ocean bottom node (OBN) survey over the Clair field. With a source sampling of 25m × 25m and receivers spaced at 50m × 100m the ultra-high density OBN (UHDOBN) sampling was an order of magnitude higher than the previous 2010 Clair Ridge HDOBC. The primary goal for the survey was a 4D baseline for the Clair Ridge area of the field however there were several 3D static imaging aspirations that the data also hoped to address. These included understanding the resolution limit of the data through interpolation, improved 3D imaging of key reservoir intervals on PP and PS data and to utilise the data density and rich azimuth distribution for robust fracture characterisation via azimuthal velocity analysis. The velocity model was rebuilt from scratch and then updated successfully using FWI using the legacy HDOBC data ahead of the survey starting. The final processed UHDOBN PP and PS images were completed within 12 months of the field data being delivered to the processing contractor and provided a step change improvement in imaging and attribute quality.
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