Data & Innovation • Oil & Gas • AWS
A leading energy company is revolutionizing artificial lift systems with a Generative AI
A co-created solution on AWS that combines artificial intelligence and human expertise to transform critical engineering processes.
About the client
Leading energy company in Latin America, with integrated operations in exploration, production, refining, transportation, and renewable energy.
Its commitment to innovation, efficiency, and sustainability positions it as a key player in the region’s energy development, with a presence in countries such as Argentina, Bolivia, Brazil, Mexico, Paraguay, and Uruguay.
Needs
The design process for artificial lift systems posed a significant challenge due to its technical complexity, large volume of data, and reliance on individual specialists’ knowledge.
The organization needed to standardize criteria, automate repetitive tasks, and capture expert knowledge to make it accessible across teams.
Additionally, the process aimed to include the inventory variable, ensuring that design decisions took into account the actual availability of equipment and materials.
Solution
To overcome these challenges, Nubiral collaborated with the client to co-create a Design Assistant powered by Generative AI.
More than just automation, the solution acts as a “Copilot” for engineers, combining artificial intelligence with human expertise to achieve superior results.
The solution, based on a multi-agent AI architecture, is capable of:
– Automating the end-to-end design workflow, from interpreting initial well conditions to generating a final auditable report.
– Simulating and evaluating thousands of possible scenarios, identifying the most technically and economically efficient design.
– Integrating the inventory variable by checking the availability of equipment and materials to propose realistic and executable solutions.
– Centralizing and applying engineering best practices consistently in every design, democratizing expert knowledge.
Success Story • Oil & Gas
Relive the success story presentation at the AWS Energy Symposium 2025 – Buenos Aires.
Results
Design time optimization
Drastic reduction in hours spent on manual tasks, allowing engineers to focus on validation and more complex challenges.
Design standardization and quality
Ensures the consistent application of engineering best practices, enhancing the quality and reliability of every proposed design.
Democratization of expert knowledge
The solution captures and applies the knowledge of top specialists, making it accessible to the entire organization and facilitating the training of new talent.
Synchronization with the supply chain
By considering available inventory, delays in material procurement are minimized, accelerating project execution in the field.
