Technologies for asset optimization

We develop digital technologies to transform the energy sector

What do we focus on?

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.

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

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."

Emilia Martínez Serrano

Director of Industrial Asset Optimization at the Repsol Technology Lab

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 to reduce CO₂

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 CO₂ 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 of CO₂ 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.

Logos entidades financiadoras: Financiado por la Unión Europea NextGenerationEU; Plan de Recuperación, Transformación y Resiliencia; Ministerio de Ciencia e Innovación y CDTI

We 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.

Logos entidades financiadoras: Financiado por la Unión Europea NextGenerationEU; Ministerio para la Transformación Digital y de la Función Pública; Plan de Recuperación, Transformación y Resiliencia; España Digital 2026; Universidad de Granada, UNIMORE y 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.

Learn more

Advanced mobility and renewables

We work on the development of technologies for a responsible mobility, household energy management, energy efficiency, and renewables.