The ability to continue through the various production cycles unabated (zero unplanned downtime) in the up- and downstream oil & gas industries means that practical efficiencies using digitisation are essential. The most practical, accurate and efficient digitisation method to manage production cycle continuity in oil & gas is a digital twin – an accurate virtual representation of your plant or asset. In addition to improving production efficiency and significantly reducing the likelihood of unplanned maintenance, a digital twin provides numerous other benefits.
These benefits include proper visualisation, sharing and collaboration on projects; faster and better decision-making; asset integrity monitoring and management; and advanced project planning. WorldsView vendors Topcon, Esri, Autodesk and Clearedge each provide hard- and software that help facilitate the ‘building’ of a truly representative digital twin that enables substantial revenue increases. Improved revenue is realised through increased production, reduced project start-up times and improved operational efficiencies.
The real digital twin
Most interpretations of a digital twin have been limited to 3D visualisation of physical assets. This is an inaccurate description. A digital twin, in the true sense, is a virtual representation of a potential or physical asset that integrates artificial intelligence, machine learning and software analytics. In so doing, it creates a real-time, dynamic digital model from a physical model. “The model can be developed into a living, functional, intelligent digital model that provides live data on physical assets and their operations,” says Edwin Atiegoba, Technical Account Manager, WorldsView. “This allows for the effective remote management of real assets.”
To generate an intelligent, living digital twin model of an oil & gas facility, a location-based monitoring application that enables proper visualisation of the data on maps and live dashboards – with location-based intelligence – is necessary. WorldsView stocks and distributes OEM products that help facilitate the four-step pathway required for digital twins.
To do this, 3D laser scanners that measure 3D co-ordinates, that have the capacity to collect large arrays of data at a given time and generate a point cloud, are required. WorldsView vendor, Topcon, has developed a revolutionary 3D laser scanner, the GLS2000, to this end.
Step 2 – process: Raw data must be processed before it can be interpreted. Two of WorldsView’s vendors, Topcon and Autodesk, provide solutions for this aspect of the digital twin build. Topcon Magnet Collage is an intuitive, flexible software that processes and analyses point cloud data from any 3D laser scanner. It does this quickly and includes point clouds and panoramic images from the field when processing and analysing raw data. Autodesk Recap (Reality Capture) is a point cloud processing software and 3D scanning software for intelligent model creation.
Step 3 – model & design: Once the above two steps are complete, designing a 3D model based on the accurate point cloud follows. Topcon and Clearedge 3D teamed up to develop feature-extraction software called EdgeWise. It is an inbuilt modelling platform that uses advanced algorithms and pattern-matching technologies to automatically extract plant features. The adoption of these technologies speed up the process of creating an intelligent 3D model of your plant.
“By using these 3D digital models, customers have reportedly saved over 70% of their project time when compared to using traditional manual modelling software,” Atiegoba points out.
Step 4 – share & collaborate: Esri, another of WorldsView’s vendors, provides tailored share and collaboration software called ArcGIS Online. It is a cloud-based software used to create and share interactive web maps and apps, collaborate online, and analyse and work with data. A Nextspace software application called Bruce Digital Twin is used to integrate CAD, BIM, GIS, IoT, Point Clouds/LIDAR, multimedia data, and other spatial and non-spatial data for facilities and asset management.
Bruce is used to store, search, view, analyse, collaborate and present from an open standards cloud-based web user interface. It allows users to directly import from various industry foundation classes’ (IFC) data sources, including Revit IFC and many others. A distinct advantage of this software is that it provides a modern digital version of the ‘Method of Loci’, making the visual data navigation available to everyone.
“Yet another benefit of Bruce,” says Atiegoba, “is it enables sophisticated data integration, visualisation, analytics and machine learning not just for the oil & gas, but also for architecture, engineering, construction, agriculture and other industries.” The software integrates with the Nextspace data interchange tool XMpLant, which has interfaces to plant and process design systems to create a living, breathing complete model of oil & gas assets.
"With the aid of this digital twin workflow,” Atiegoba concludes, “a living, intelligent and location-based digital twin model of an oil & gas facility can easily be developed.”
Alongside digital twins, available digital technologies include predictive analytics for maintenance, machine learning, AI, drones and inspection robots. All of them are main drivers in achieving lower oil production costs per barrel and improved operational efficiencies. To this end, WorldsView distributes AI, machine learning and software analytics tools from some of the world’s leading technology companies.