We increase the efficiency and precision of our operations through the use of cutting-edge digital technologies, such as supercomputing and artificial intelligence.
Supercomputing and artificial intelligence are all the more indispensable for the competitiveness of our operations and the development of our decarbonisation technologies. Digital geosciences, combined with the computing power of our supercomputers and our proprietary algorithms, allow us to maintain high efficiency in our exploration. The digital transformation involves every business activity and process, supporting our evolution to respond to the energy transition. Artificial intelligence also supports us in safety at work through tools that prevent and manage hazardous situations, and in the protection of the forest heritage of Ruanda, where a cross-sectoral collaboration is underway where precision and monitoring technologies have a decisive role.
By means of digital geosciences, we study the nature of the subsoil and pinpoint possible fields. We process data and information, reconstructing the geological characteristics of deep layers. We use the High Performance Computer layer 5 (HPC5), one of the most powerful and sustainable computers in the world, with which we are able to identify new natural gas reserves more efficiently and study new energy sources. Thanks to this supercomputer we can create three-dimensional models of the subsoil more quickly and study solutions to increase the efficiency of renewable energy.
Our supercomputer allows us to expand geophysical exploration to quickly identify new fields.
We use advanced applications in the study of underground rocks to make the search for new deposits more efficient and faster.
Research programmes, applications and solutions to improve efficiency at every level.
We collaborate with PASQAL, a company that produces quantum computers, to optimise the performance and energy efficiency of assets, and we participate in the National Research Centre in High Performance Computing, Big Data and Quantum Computing.
In July 2024, we launched Eniquantic, a joint venture between Eni and IT Quanta, with the ambitious aim of developing an integrated machine combining both hardware and software, to solve complex problems (mathematical optimisation, modelling and simulation, artificial intelligence) and to initiate specific and significant applications of quantum computing in support of the energy transition.
We extended the Safety Pre-sense tool to all lines of business to increase worker safety. Using artificial intelligence, the system predicts recurring dangerous situations and implements corrective actions.
We use data analytics to support our strategic decisions such as, for example, in the area of bioenergy for biofuel production, by searching for marginal land where we can begin cultivation, as was the case for the first agri-hub in Kenya, set up to grow raw materials to be made into vegetable oil.
In addition, digitisation of processes is underway in CO2 offsetting activities, such as in the area of Carbon Offset Solutions, supporting REDD+ projects for forest conservation and protection.
Together with the Massachusetts Institute of Technology (MIT) we also take part in the MIT Quest for Intelligence (MIT Quest) initiative, which promotes advanced research in artificial intelligence for philanthropic purposes.
Research programmes, applications and solutions to improve efficiency at every level.
We collaborate with PASQAL, a company that produces quantum computers, to optimise the performance and energy efficiency of assets, and we participate in the National Research Centre in High Performance Computing, Big Data and Quantum Computing.
In July 2024, we launched Eniquantic, a joint venture between Eni and IT Quanta, with the ambitious aim of developing an integrated machine combining both hardware and software, to solve complex problems (mathematical optimisation, modelling and simulation, artificial intelligence) and to initiate specific and significant applications of quantum computing in support of the energy transition.
We extended the Safety Pre-sense tool to all lines of business to increase worker safety. Using artificial intelligence, the system predicts recurring dangerous situations and implements corrective actions.
We use data analytics to support our strategic decisions such as, for example, in the area of bioenergy for biofuel production, by searching for marginal land where we can begin cultivation, as was the case for the first agri-hub in Kenya, set up to grow raw materials to be made into vegetable oil.
In addition, digitisation of processes is underway in CO2 offsetting activities, such as in the area of Carbon Offset Solutions, supporting REDD+ projects for forest conservation and protection.
Together with the Massachusetts Institute of Technology (MIT) we also take part in the MIT Quest for Intelligence (MIT Quest) initiative, which promotes advanced research in artificial intelligence for philanthropic purposes.
Our main achievements when it came to preventing cyber attacks in 2022.
(including automatic ones) against internet-exposed applications
of phishingreported
malicious intercepted
In the field of robotics, mechatronics and automation, we have developed a system of innovative nanosensors to detect potential emissions in areas difficult to reach by personnel or other robotic means. We improved the Clean Sea submarine system, a robot that monitors submarine installations and water quality for CO2 capture and storage (CCS) activities. We use robots with legs and computer vision algorithms for industrial site inspections.
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