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Vidya Technology implements Digital Fabric Maintenance solution for FPSO

Published by , Deputy Editor
Oilfield Technology,

Innovation in the Oil & Gas industry has become increasingly attractive. Despite this, McKinsey research indicates that offshore platforms currently operate on average at only 77% of their maximum potential, which generates even more interest in oil and gas companies worldwide in adopting new tools for their operation.

In this scenario, in order to speed up the corrosion assessment process and the creation of maintenance plans to assertively manage asset integrity, a project was developed in an operating FPSO together with Vidya Technology. The delivered solution generated in one year:

  • 91 fewer days of people on board (PoB) for corrosion assessment tasks.
  • 59% M/H (Man/Hour) reduction in Maintenance Planning.

The main driver of the project was the contracting company's need to optimise the more than US$2 million dollars spent annually on coating management activities. In addition, the constant need for people on board to inspect and solve the problems present were also increasing the exposure to the risks present in the harsh environments of the oil and gas industry, generating more accidents in the operation.

"The project, besides the economic benefits, also allowed a drastic increase in the safety of FPSO workers, as we generated a decrease from 97 to 6 days of total PoB for tasks related to a coating management campaign," said Otavio Correa, CEO of Vidya Technology.

To achieve the client main goal, Vidya implemented a Digital Fabric Maintenance project to perform virtual corrosion assessment of the FPSO and to develop corrosion inspection and maintenance plans in less than 70% of the time normally spent, contextualising paint integrity data and managing field work orders integrated with different ERPs.

Solution deployment

In order for the inspection to be done virtually, one of Vidya’s qualified inspectors was in charge of collecting images of the entire platform with 360° cameras in just 6 days of embarkation. The images were then processed by Machine Vision technology to detect corrosion points automatically, and uploaded to the platform.

The vessel's integrity data generated fed customised dashboards, and enabled the emission of maintenance notes directly on CMMS or ERPs. Therefore, this application allowed, besides all the presented results, a greater reliability of the generated and processed data, turning them into more efficient decision-making tools.

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