综合可视化分析的智能决策提高了井下诊断效率,同时节省了成本

S. Hamid, N. Abulhamayel, M. MacDonald, A. Alduraihem
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引用次数: 0

摘要

通过视频技术和图像处理技术的创新进步,现在可以在一次连续通道中获得360度的井筒量化成像。这不仅通过大大减少采集所需的时间,简化了成本效益的干预措施,而且还将视频的应用扩展到更广泛的诊断和评估应用中。然后,这些信息可以与整个井的其他井下数据集相结合。这些易于理解的数据集可以立即了解复杂的井下情况。这些信息用于识别和了解与射孔分析、限制、泄漏、腐蚀、阀门状态和功能状态以及许多其他不良井下状况相关的问题。本文将展示增加的效率,以及改进的扩展可视化数据集,如何提供对特定挑战的更全面的理解,从而减少操作时间、风险和成本,并增强决策能力,以实现果断行动和提高生产力。本文将使用现实世界的例子来演示如何应用视觉分析,定量测量和2D/3D建模来改进干预操作。详细描述了一个四阶段的工作流程:详细介绍了如何获得独特的360度侧视进尺和下视进尺,以及如何根据确定的特定问题评估完整的井筒状况。利用交互式报告平台呈现定量视觉效果、2D和3D模型,并将视觉效果与其他井下数据集相结合,形成新颖的可交付成果。评估作业的整体价值,包括由于效率提高而减少的钻井时间,以及通过提供的答案得出的结论。该论文将展示360度井眼图像如何帮助更好地理解特定的井下挑战。此外,我们将展示该技术如何能够诊断常规数据集无法诊断的井下状况。每个示例将提供对所获得的技术能力和各种可交付成果的具体见解。这些实例将展示在修井作业过程中实现的效率提升,同时提供改善油井性能的诊断解决方案。本文介绍的技术包括世界上第一个超高清阵列侧视相机的应用,提供完整的可视化井筒覆盖。结合定制的数据分析和可视化套件,提供直观和交互式日志,2D和3D交付。重要的是,它为生产和油井干预工程师提供了无可争议的答案,使他们能够有效地计划和执行补救措施,成功地克服一系列井筒挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Decision Making with Comprehensive Visual Analytics Improves Downhole Diagnostics Efficiency While Saving Costs
Through innovative advances in video technology and image processing techniques, a 360-degree quantified imaging of the wellbore can now be acquired in a single continuous pass. Not only does this enable simplified, cost-effective intervention by significantly reducing the time required for acquisition, but the innovation also extends the application of video to a wider range of diagnostic and evaluative applications. This information can then be combined with other downhole datasets across the well. These easily understood datasets provide immediate understanding of complex downhole situations. This information is used to identify and understand problems relating to perforation analysis, restrictions, leaks, corrosion, the condition and functional status of valves, along with numerous other undesirable downhole conditions. This paper will demonstrate how the added efficiency, as well as the improved extended visual datasets acquired, provide a more comprehensive understanding of specific challenges, resulting in reducing operational time, risk and cost, and empowering improved decision-making to enable decisive action and enhanced productivity. This paper will use real-world examples to demonstrate how the application of visual analysis, quantitative measurements and 2D/3D modelling allows the improvement of intervention operations. A four-stage workflow will be described, detailing: detailing how the unique 360-degree sideview footage, combined with downview footage, was attained and how it allowed the complete wellbore conditions to be assessed with specific issues identified. utilizing interactive reporting platforms to render quantitative visuals, 2D and 3D models as well as combining the visuals with other downhole datasets in novel deliverables. assessment of the overall value of the operation, which includes the reduction in rig time due to efficiency improvements as well as the conclusions reached by the answers provided. The paper will show how the 360-degree footage of the wellbores aided in better understanding of specific downhole challenges. Additionally, we will demonstrate how the technology was able to diagnose downhole conditions that would not otherwise be possible with conventional datasets. Each example will provide specific insights into the technical capabilities and the varied deliverables that were obtained. These examples will showcase the efficiency improvement realized in the course of these well intervention operations undertaken while providing diagnostic solutions that improve well performance. The techniques described in this paper involve the application of the world's first ultra-HD array side-view camera, providing complete visual wellbore coverage. Combined with a bespoke data analysis and visualization suite, intuitive and interactive log, 2D and 3D deliverables are provided. Critically, it provides production and well intervention engineers with indisputable answers which allow them to effectively plan and execute remedial well interventions to successfully overcome a range of wellbore challenges.
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