The digital dead cow: how artificial intelligence is applied to operational security | Better Energy

Development Cow Dead It was fully digital from the start. Loma Campana, area YPF and American Chevronbecame a reference for non-conventional industry in the application of resources and innovation which establish and enhance the natural capabilities of the terrain and multiply the effectiveness of the equipment.

But following this digital application to the daily operation of hydrocarbons and energy in general, today a combination of three tools such as robotics, Internet of Things (IoT) and Artificial Intelligence They enable us to offer a service that simplifies, saves time and costs in multiple control and monitoring activities to reduce environmental damage.

Faced with this challenge, an Argentine startup was born in 2018 Uoli in an effort to streamline routine operational tasks, to which technology can contribute a lot, especially in non-conventional training in Neuquén, which is itself a broad digital ecosystem. “We understood that there was a second very large industrial pole behind the countryside that needed to improve costs in the production processes, which, although it had great potential from the ground up, was limping upwards in the assumption that it would be globally competitive.”explained the CEO of Uali, Ian Bogado.

The company offers in your solution portfolio gas detection services, methane quantification, inspection of pipelines, processing plants, refineries, construction monitoring, asset safety monitoring, topographic studies, inspections of mobile wind turbines, solar panels and electrical grid installations, among other options to which can be added offshore crude oil spills and onshore producing wells.

The opportunity of this wide range of services allowed Uali to quickly cross the borders of Argentina and expand its field of activity to the countries of the region and the European Union and The goal is to become strong in the huge Brazilian market by enter the competitive United States market in later years.

In this menu automate repetitive operations and maintenance tasksthe company uses technological devices, for example, to collect thousands of images and videos in record time flying over targets using a drone equipped with high definition cameras. “This makes it possible to replace repetitive, tedious and sometimes very long-term tasks due to the distances and the difficulty of the terrain to be covered with a system that is not only more agile and efficient, but also with less error in information and safer for the environment. work,” Bogado explained.

The route of a gas pipeline or power line with a length of hundreds of kilometersfor example, which was usually done by aircraft or from the ground in generally hostile climate and terrain, requiring several days of data collection, This can be done in hours with much greater accuracy.

The assumption is that any asset whose behavior is visible can be converted into information accessible to the layman., with simple and straightforward actions that do not require additional complexity to provide a solution and that are also easily scalable for different organizations. However, in order to predict, it is necessary to have a historical reference that allows us to understand the occurrences of previous data, thanks to which we understand the signals to predict the problem.

Once the previous and current information is collected, it is time to replace manual research by sending it to protected servers and databases where it is analyzed using artificial intelligence and machine learning. Post-processing is done through a platform where clients can access detailed and actionable reports on each of their assets.always through analysis “suitable for all target groups, not just specialist engineers, which provides preventive and predictive information to help the energy industry in its transition to a sustainable future”.

“There is a smaller Texas with the same potential -said CEO Uali-. Vaca Muerta is strong and it is key to develop the periphery of other industries that help, understanding that the technological capacity of oil is huge and it is being transferred to other activities.”

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