Top business benefits
Improved risk assessment & enhanced hazard analysis
Reduced job time and increased utilisation
Reduced ambiguity in internal incident investigations
Independent evidencing and communication
Improved first-time job effectiveness
Improved incident investigation
Facilitation of remote training for non-regular NUI visitors
NUIs are difficult to service and maintain. This innovative solution uses cutting-edge AI to complete tasks such as maintenance and well servicing, providing a seamless, remote sign-off.
In more detail
NUIs (Normally Unmanned Installations) provide significant cost savings compared to manned facilities - estimated to be as high as 30% - as well as reducing the potential of hazardous exposure to staff in ongoing operations. They do, however, introduce new operational complexities to offshore oil and gas production, from maintenance management and safety issues to productivity inefficiencies and logistical challenges.
Platform managers currently create effective plans, work schedules, risk assessments, and safety procedures for crews working on isolated offshore installations to maximise productive time. However, they do so without the benefit of up-to-the-minute information about the work site.
This solution uses AI, machine and cognitive learning to provide data-driven insights that improve the management and automation of upstream operations, drilling, and projects, enhancing the capability of operators working with NUIs to manage safety and operational performance by providing a real-time feed from the remote installation.
This enables platform managers to improve safety and increase productivity with real-time digital data capture of unstructured visual data and spoken commentary for site work risk assessment, supported by AI.
The remote location of NUIs from parent facilities create complexities in implementing and adhering to a safe system of work. The activities approved for execution in permits may not match the most up-to-date information when teams arrive on the NUI.
In contrast to main platform activities, specialist technicians and engineering staff acting as permitting authorities may not be readily available at the remote work site. In addition, satellite and telecommunications systems are often unreliable in these remote locations.
Crews often perform work that may not be authorised in order to ensure their overall planned activities are completed, or they return to the main platform without completing planned activities. Site risk assessments are also based on the skill of the crew, rather than the more rigorous independent verification onsite that technology allows.
With the increasing usage of offshore facilities and trends in individual and process safety related events, emerging digital technologies are critical to support driving continuous improvement in HSE performance whilst optimising operational outcomes.
This solution provides real time digital data capture of unstructured visual data and spoken commentary for site work risk assessment, supported by AI. It can be used for HAZID, fabric, and equipment inspections, as well as equipment confirmation, and pre- and post-job completion close-out involving teams engaged in maintenance and modifications. It also enables work to be completed faster, and the data collected enables processes to be redesigned for more efficient delivery with higher quality.
Similarly, for jobs occurring over multiple shifts or single-shift work scopes extended as a result of onsite inspection results, it can provide additional and independent corroboration of job closeout and work performed as well as confirmation that the site has been restored to safe condition to allow permit closure, and later reissue in the following shift.
Its digital data capture further supports compliance and incident investigation.
Additional enhancements to current functionality create the potential to extend its capability to include digital records of conventional permits for specific work scopes, and in the longer term creating explicit links to appropriate procedures.
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