Smart_FDP · Smart Digital Solution for Field Development Planning Optimization
Horizon Europe — Marie Skłodowska-Curie Actions
- Duration
- 2023-09-01 → 2025-08-31
- EU contribution
- €226,751
- Participants
- 1
- Scheme
- HORIZON-TMA-MSCA-PF-EF
Lines connect the coordinator with its partners.
Results in brief
Smart Digital Solution for Field Development Planning Optimization
The Smart-FDP project was launched in response to one of the most pressing challenges in the global energy sector: maximizing the value of existing hydrocarbon fields while reducing their environmental footprint and supporting both digital transformation and the transition to sustainable energy systems. With ‘easy oil’ reserves dwindling and energy consumption increasing, the need to optimize field development planning (FDP) is paramount in meeting the world’s energy demands. This challenge intensifies with carbon-neutral economy ambitions and the integration of hydrogen storage into a decarbonized energy system. Traditional FDP relies on numerical reservoir simulations using approaches that are either based solely on engineering intuition or automated alternatives that require prohibitive computational effort. These approaches often fail to quickly identify truly optimal development scenarios under complex technical, economic, and environmental constraints in large, heterogeneous and mature reservoir systems. The Smart-FDP project addresses these challenges by developing a next-generation digital solution for fast, reliable, and environmentally responsible field development planning. Its core vision is to combine AI and metaheuristic algorithms into automated simulations. This self-adaptive optimisation framework tackles complex optimization tasks in reservoir development/management, fostering efficient hydrocarbon recovery with reduced cost, risk, and environmental impact. The conception of the automated optimization tool begins with digital formulation, followed by smart optimizer development and culminates in a user-friendly decision-making tool enabling industrial and research exploitation for both fossil and renewable energy applications. The approach adopted in this project directly aligns with EU strategic goals by supporting the European Green Deal, digital transformation of the energy sector, and sustainable subsurface use, including CO2 storage and geothermal energy production.
Data: CORDIS, © European Union
Project objective
To meet the world's energy demands specifically with “easy oil” reservoirs depleting, it is important to optimize production and field development planning (FDP). This will be even more pronounced in the years to come if pore space is to be used to store CO2 or hydrogen in large-scale decarbonized energy solutions. Traditional modeling practices are known for high computational demand, and workflows for optimizing management strategies tend to be manual due to the complexity of the models. In this project, the goal is to develop an advanced optimization procedure that will serve as a smart decision support tool, which can be used to choose the best field development plan while handling properly the technical, economic, and environmental constraints. This tool integrates automated simulation with artificial intelligence and metaheuristic algorithms in one self-adaptive optimization framework and will provide possibilities to deal with complex optimization tasks in the development and management of reservoirs under uncertainty. The expected outcomes of this project are a new generation of solutions that can enhance and optimize the recovery of hydrocarbons and can also be customized to address complex optimization issues in natural energy resource development, CO2 sequestration and in other disciplines.The project will be performed in three steps: i) digital formulation of FDP tasks under complex constraints, ii) development of a smart solution for FDP optimization and iii) user-friendly tool for decision-making. The multidisciplinary aspects of the project include simulation, optimization and data science. The researcher will combine his previous research experience within these areas and develop new skills to perform the project. The host institution will provide infrastructure and supervision of different aspects of the project by integrating the researcher in a strong team in reservoir modeling and optimization that also provides collaboration with industry.
Original text from CORDIS.
Participants
- NORGES TEKNISK-NATURVITENSKAPELIGE UNIVERSITET NTNU · TrondheimCoordinatorNorway
Links
- View on CORDIS
- DOI: 10.3030/101111369
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e509523175&appId=PPGMS
- https://ec.europa.eu/research/participants/documents/downloadPublic?documentIds=080166e520787f3d&appId=PPGMS
Data: CORDIS, © European Union