Oil & Gas
The oil and gas industry is one of the most dangerous and volatile of industries. It requires constant monitoring and surveillance of production, environmental compliance, safety, and other important aspects of the industry. Such monitoring is complex, costly, high risk for workers, and leads to lengthy production downtimes. Emerging technologies in unmanned systems are providing the necessary potential towards the digital transformation of the oil and gas industry, to improve operations by reducing downtime and risk, and increasing safety, speed, and efficiency.
Other confined spaces such as storage tanks
Detecting rust/corrosion and other degradation factors is crucial to the lifecycle of the oil and gas industry as well as having rigs and pipelines that are safe and in compliance with regulations. Unmanned systems can be equipped with specific payloads to search for corrosion prone areas, detect damage, detect invasive vegetation, monitor for leaks or gas emissions, detect spills and more.
By combining robotics, artificial intelligence, IoT, analytics, and other hardware and software tools, oil and gas companies can move towards new levels of business intelligence, limit human interaction, decrease costs, and improve safety and operational efficiency.
Contact Robotics Centre to find the right unmanned system for your inspection challenge
Oil and Gas Case Study
Saudi Arabia is home to the world’s largest and most valuable oil and gas companies. With such a scale, the ability to inspect and maintain the many thousands of oil and gas infrastructure assets (e.g. storage tanks, flare stacks, and etc.) has been an equally enormous challenge, especially as infrastructure begins to age. Traditional means of inspection require extremely large timelines, pose a serious risk to inspectors, and are very costly. As a solution, Robotics Centre introduces engineers to robotic fuelled data collection in the form of automatic high-quality imagery collection through UAVs equipped with high-level zoom cameras and the potential for intelligent imagery processing with AI for specific infrastructure degradation (e.g. rust).