While drones have been used on oil and gas facilities for video inspections and other tasks, they have been operated by an on-site pilot or one positioned on a bobbing workboat adjacent to an offshore platform. Now a proof-of-concept study conducted by TechnipFMC has tested the feasibility of a global drone system with drones operated remotely by pilots based anywhere in the world. The study is the subject of a paper (OTC 30241) presented at the Offshore Technology Conference Asia in Kuala Lumpur in November.
Construction supervision and health, safety, and environmental (HSE) monitoring were the main drivers of the study. The construction supervision application is part of a larger digitalization ambition to monitor and manage construction activities with data generated from the drone ultimately feeding an internal software dedicated to this business process. Potential HSE applications include crisis management, human safety, evacuation assistance, hazardous-area identification, traffic control, carbon-footprint reduction, and environmental surveys.
One of the study’s main objectives was to move from traditional unmanned autonomous vehicles (UAV) to resident systems and to investigate the possibilities they could offer. Aerial views have been used extensively to reduce personnel exposure in specific situations such as difficult access or potentially dangerous inspection areas like active flares, confined spaces, or high structures. In these cases, the drones are controlled by an on-site pilot who is either within their line of sight or a short distance away.
Combining AUV technology with embedded and associated intelligence from the internet of things (IoT), artificial intelligence (AI), and cloud and edge computing should enable drones to fly safely in complex and dynamic environments, resulting in integrated, resident systems that are permanently deployed at construction sites and available 24/7 without the need for an on-site certified pilot. Implementing these technologies will make data accessible and available in real time to people working on the project worldwide and it will also generate new work processes for project management and execution.
Flight and Operations Testing
According to the paper’s primary author, Nicolas Tcherniguin, manager of offshore business and technology with TechnipFMC, digital tools such as image recognition, machine learning, and simulation of digital twins based on the drone’s flight have been tested. Remaining bottlenecks have been identified, and some have been addressed while others will require additional efforts. AI development will offer additional features, especially if they can be integrated with other ground monitoring devices.
