Innovative Digital Inspection Methods
- Stephen Anderson (INTERTEK) | Sigve Barvik (INTERTEK) | Chad Rabitoy (INTERTEK)
- Document ID
- Offshore Technology Conference
- Offshore Technology Conference, 6-9 May, Houston, Texas
- Publication Date
- Document Type
- Conference Paper
- 2019. Offshore Technology Conference
- 7 Management and Information, 6.3 Safety, 7.6 Information Management and Systems, 1.7.5 Well Control, 1.7 Pressure Management, 1.6 Drilling Operations, 7.6.4 Data Mining, 3 Production and Well Operations, 7.6.6 Artificial Intelligence
- 3D scanning, Condition Based Maintenance, Inpection, Metrology, Phased Array
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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.
|File Size||1 MB||Number of Pages||10|