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The financial benefits of predictive maintenance on normally unmanned facilities can be <span class="ring">huge.<span>
Imagine a facility is producing 100,000 bbls oil/day and the oil price is $60/bbl. If the robot saves 2 days of production/year, it will save <span class="underline">$12 million<span> of annual revenue.
Other benefits on a normally unmanned facility include the cost of mobilising humans. For an offshore facility this might include salaries, a helicopter and its crew, standby costs if the weather is poor, and the onshore resource needed to organise and mobilise the intervention.
Robots collect data more regularly, reliably and repeatably than human operators. They are also cost-competitive (it typically costs €85 to collect one item of information every day for a year, and this cost will decrease). That data can be analysed in the cloud by AI to identify emerging issues. This can reduce lost production because better predictive maintenance can avoid disruptive shut-downs.
Robots can also be docked on and can inspect normally unmanned facilities where people are not located. These robots can investigate unexpected production shut-downs before humans arrive. If the incident is spurious, production can be re-started remotely. If intervention is required, the human operators will be better equipped to resolve the situation quickly and safely when they arrive.
The financial benefits can be <span class="ring">huge.</span>
Imagine a facility is producing 100,000 bbls oil/day and the oil price is $60/bbl. If the robot saves 2 days of production/year, it will save <span class="underline">$12 million</span> of annual revenue.
Other benefits include the cost of mobilising humans. For an offshore facility this might include salaries, a helicopter and its crew, standby costs if the weather is poor, and the onshore resource needed to organise and mobilise the intervention.
Engineers have to travel to location to inspect equipment or rely on information collected by human operators. Human operators may not collect the right information and may not communicate clearly. This may require multiple visits to the equipment and meetings with the engineer.
Engineers can remotely control robots to collect information using their sensors. This can accelerate the identification and diagnosis of issues.
Methane is a more powerful greenhouse gas than carbon dioxide. Petrochemical companies are subject to legislation to reduce methane emissions. These are enforced by satellite surveillance.
ExR-2 can be fitted with gas detectors that <span class="underline">detect seepages</span> before they become <span class="ring">leaks</span> (and are detected by satellites).
Customers programme these robots to perform autonomous emissions detection rounds two or three times each day.
If a robot detects gas, it alerts the customer's operations team.
Our robots reduce risk to human lives.
We send <span class="ring">brave</span> people to assess hazardous situations. Examples include:
Remotely controlled ExR-2 robots can investigate with <span class="ring">no risk to humans.</span>
If the robot is already on location, response times can be quicker than deploying an emergency response team, and the team will be better informed when it arrives on location.