Percepto, an autonomous inspection and monitoring solution provider, has released survey results exposing the lack of usage of proven, advanced technologies such as drones, robotics and AI to inspect and monitor energy, oil and gas industrial sites – despite best intentions to keep employees safe and reach environmental, social and corporate governance (ESG) goals.
The survey queried 200 managers and executives within the energy and oil and gas industries, half of which were from North America, 25% from Europe, the Middle East and Africa (EMEA) and 25% from the Asia-Pacific region (APAC).
Respondents indicated that some hazardous assets, such as power grids and pipelines, are largely unmonitored for long periods of time, leaving infrastructure vulnerable to large scale failures such as fires, oil and gas leaks. Failing to detect faults in time can have far-reaching consequences, such as loss of life, billions of dollars in fines for environmental infractions and lost profits.
While most energy and oil and gas companies collect huge amounts of visual data in the form of images and video, only 12% of those surveyed indicated they are using AI for automating data analysis to gain insights.
“Drones, robotics and AI allow for automated visual infrastructure inspections at a pace, scale and accuracy level that humans alone cannot deliver using traditional visual inspection methods, particularly for hazardous, hard-to-reach assets,” said Percepto Co-founder and CEO, Dor Abuhasira.
“The heavy reliance on labor intensive, manual methods suggests a lack of awareness of how AI can be utilized to ensure the highest levels of safety, productivity, asset reliability and adherence to regulations, representing a vast untapped technological resource.”
Some key survey findings:
Percepto says that by using drones and robots coupled with AI-powered analysis software for their data management, companies can monitor their site health with far greater safety, speed, efficiency and accuracy from anywhere and allow all relevant stakeholders easy access to both the data itself as well as to the derived insights.