创新的数字化检测方法

Stephen Anderson, Sigve Barvik, Chad Rabitoy
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引用次数: 6

摘要

虽然有很多关于大数据分析、物联网(IoT)、人工智能(AI)、实时监控(RTM)、数字孪生(Digital Twin)和其他方法的讨论,但它们都不仅需要数据,还需要准确、可靠的数据。本文介绍了一种新的创新检测方法,该方法将三维激光扫描和精确的三维几何尺寸和公差(GD&T)计量数据与先进的无损检测(NDT)结果相结合。然后将这些数据合并到数字3D空间中,以准确表示当前设备状况和关键海上资产的机械完整性。这种检查和测试可以在制造过程中进行,作为质量检查,创建数字基线记录,或在操作期间在甲板上进行,从而节省大量停机时间和成本。通过包括计量和相控阵,所描述的检测方法可以提供精确的数字数据和专门的3D报告,不仅可以以更客观的方式满足合规和监管工作,还可以帮助原始设备制造商(oem),钻井承包商和运营商提供确凿和准确的设备状态数据。这些基于原位无损检测和几何尺寸公差测量信息的数据将支持Digital Twin数据以及操作和维护决策,从而保持资产的完整性、安全性和可用性。这种创新的检测解决方案可以成为基于状态的维护(CBM)计划的一部分,操作人员可以从基于时间的程序转移到使用数字数据来确定未来的设备性能、工作范围和计划,同时在设备的整个生命周期中保持完整和更新的数字状态记录。该计划可以在早期阶段预测和预防问题,提供简化维护活动的策略,并潜在地识别制造缺陷。更重要的是,它可以创建历史数字数据,这将改变钻井行业的运营方式,并满足监管机构自实施新的井控规则以来一直在寻求的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Innovative Digital Inspection Methods
While there is a lot of talk about Big Data Analytics, Internet of Things (IoT), Artificial Intelligence (AI), Real Time Monitoring (RTM), Digital Twin and other methodologies, all of them require, not only data, but accurate, reliable data. This paper describes a new and innovative inspection methodology that combines 3D laser scanning and precise 3D Geometric Dimensioning & Tolerancing (GD&T) metrology data with advanced Non-Destructive Testing (NDT) results. This data is then combined in digital 3D space to give an accurate representation of current equipment condition and mechanical integrity of critical offshore assets. Such inspection and testing can be conducted during manufacturing as a quality check, creating digital baseline records, or on deck during operations, saving significant downtime and costs. By including metrology and phased array, the described inspection methodology can provide precise digital data and specialized 3D reports that will satisfy not only compliance and regulatory efforts in a more objective manner, but also assist original equipment manufacturers (OEMs), drilling contractors and operators by supplying conclusive and accurate data of equipment condition. This data, based on in-situ NDT and Geometric Dimensioning & Tolerancing measurement information, will support Digital Twin data and operational and maintenance decisions that will preserve the integrity, safety, and availability of the assets. This innovative inspection solution can form part of a Condition-Based Maintenance (CBM) program where operators can move from time-based programs and use the digital data to determine future equipment performance, work scope, and schedules while maintaining a complete and updated digital condition record throughout the lifecycle of the equipment. The program may predict and prevent problems at early stages, provide strategies that will simplify maintenance activities, and potentially identify manufacturing flaws. More importantly, it can create historical digital data that will change the way the drilling industry operates and satisfy what regulatory agencies have been seeking since the implementation of the new well control rule.
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