Technologies for asset optimization
Digital technologies to promote the transformation of the energy sector
Artificial intelligence, digital twins, IoT, machine learning, or robotics are the tools that allow us to accelerate the transformation of our plants and industrial processes to achieve our goal of net zero emissions by 2050.
What do we focus on?
Industry 4.0
We work on the implementation of digitalized industrial plants and the development of digital models of our processes to make our assets more efficient.
Artificial intelligence and robotics
We are committed to digital tools to accelerate formulations or anticipate the behavior of new raw materials. Robotics allows scientists to focus on value added tasks.
Advanced mathematics
Present in all our industrial optimization and transformation activities, it allows us to improve decision-making through the development of mathematical simulation models and optimization of our industrial assets.
We are transforming the energy industry with the conviction that digital tools, such as AI, mathematical models, and robotics, will be our best allies in accelerating this shift towards an increasingly decarbonized sector.
Digital solutions, the key to turn ideas into real technological developments
Computational chemistry
We use computational models to solve chemical problems, which allows us to save time and resources by only carrying out those experiments and formulations in the laboratory that will be successful.
AI, IoT, and robotics
We speed up a multitude of experimental and analytical processes in our laboratories through the combination of algorithms, automatisms, reinforcement learning, or collaborative robots.
Digital solutions for decarbonization
Digitalization allows us to drive a smart energy industry: digital twins of assets and processes, predictive models based on their physicochemical knowledge, and use of advanced artificial intelligence.
We also focus on…
Nanotechnology
We promote this disruptive technology that will allow us to generate materials in very small sizes, but stronger and more durable, with applications such as photovoltaic cells.
Emissions management
We work to reduce emissions from our production processes and develop techniques to reuse the C02 that is emitted into the atmosphere.
Quantum computing
With a computational and processing capacity infinitely superior to the traditional one, it will allow for never-before-seen advances in process optimization or machine learning.
Digital characterization of materials
We are committed to this tool that allows us to make digital simulations to guarantee the maximum quality of our products.
Operational efficiency in O&G assets
We develop innovative technologies based on multiphysics models, digital solutions, and AI to optimize our operations in a safe and sustainable manner.
Success stories
CUCO Project, quantum computing applied to the energy industry
With the collaboration of the Spanish government, private companies, research centers, and universities, its purpose is to provide competitive advantages to the country, such as accelerating the reduction ofCO2 emissions.
The aim is to apply quantum algorithms to sectors such as energy, finance, space, defense, and logistics.
Use cases being investigated include the fight against climate change, financial optimization, and traceability of information in the supply chain.
The project is funded by the Spanish government's Recovery, Transformation, and Resilience Plan.
The UGR and Repsol promote a program in Ethical and Responsible AI
The Universidad de Granada, in collaboration with Repsol, has obtained one of the most outstanding university-company education and research programs in Artificial Intelligence in the country, with 1.6 million euros in funding. This project will focus on the development of ethical and responsible AI, with applications in high-risk scenarios such as critical infrastructure.
It aims to create reliable AI technologies applied to critical sectors such as oil refineries.
Ethical, legal, and social aspects are addressed for the development of sophisticated and transparent systems, in line with European AI regulations.
It includes the international collaboration of AI experts from the University of Modena and an interdisciplinary team from the UGR and Repsol.
Visit other areas of research that drive our businesses
Low carbon and circular economy
Renewable fuels, renewable hydrogen, or CO2 capture and use, as drivers to transform the industry and reduce the carbon footprint.
Advanced mobility and renewables
We work on the development of technologies for low-carbon mobility, household energy management, energy efficiency, and renewables.
