digital twins

Often it is too difficult to create the fault conditions necessary for training a predictive maintenance algorithm on the actual machine. A digital twin generates simulated failure data, which can then be used to design a fault-detection algorithm.

Time-stamped data anomalies can lead to more-accurate identification and faster diagnosis.

In partnership with TechnipFMC, DNV GL opened a pilot project for the international collaboration of operators and the supply chain. Many digital twins represent an asset’s initial form and struggle to reflect developments in their physical counterparts as the asset matures.

Digital twins are powerful combinations of models and data that “age” throughout the lifecycle of an asset as they gather and integrate data from the field. This technology is a quantum leap from earlier efforts at modeling complex systems.

A proving ground for the use of digital twins has emerged in the North Sea. There, operators Total, Aker BP, and Shell have each developed and deployed twins that they expect to pay big dividends.

ADNOC will utilize Honeywell’s asset monitoring and predictive analytics platform to improve asset efficiency and integrity across the operator’s upstream and downstream businesses.

Developing the facility of the future is a technological and infrastructural challenge, but the people behind the technology play just as critical of a role in actualizing complex, innovative asset designs. How will future facilities affect the way companies operate?

As part of the $11-million deal, Kongsberg will establish a dynamic virtual representation of the plant, which serves as a gas processing and export hub for the Shell-operated Ormen Lange in the Norwegian North Sea.

The two companies have entered into a partnership to develop the oil and gas industry’s first methodology for qualifying the integrity of digital twin technology.

The service company and independent verifier are aiming to develop a methodology for qualifying the integrity of digital twins, which they say will help level the industry’s varying technical definitions of, and expectations towards, the technology.