With Uali's technology, the problem detection stage can be carried out remotely and in real-time. Drones equipped with advanced sensors and high-resolution cameras fly over oil extraction sites, capturing images and data that are transmitted live to the offices. This allows operators to detect and analyze events immediately without needing to physically travel to the site.

Personnel only need to go to the oilfield to make the necessary repairs once the problems have been accurately identified and located. Reducing trips to the field lowers operational costs and optimizes the use of human and material resources, also reducing risk for workers by minimizing unnecessary exposure to the oilfield environment.

Overcoming Climatic Limitations

Weather can be a significant limiting factor in oilfields, especially in regions like southern Argentina, where extreme cold and heavy snowfall prevent personnel from accessing certain areas. With drones, these limitations are considerably mitigated as they can operate in adverse weather conditions, providing constant and reliable monitoring.

Digitalization not only facilitates problem detection but also improves diagnostic accuracy. Uali's drones and analysis platform can identify anomalies with much greater precision than traditional methods. The high precision in problem detection allows for more effective repair planning and more efficient asset management. The ability to identify incipient issues before they become critical failures also facilitates a proactive maintenance approach.

At Uali, we combine robotics, IoT, and artificial intelligence to provide precise and actionable data to the energy industry, facilitating decision-making in the care of its most relevant assets and thus generating a positive environmental impact. Get to know us!