Project description
Pushing boundaries to reshape energy resource development and CO2 sequestration
With ‘easy oil’ reserves dwindling, the need to optimise field development planning (FDP) is paramount in meeting the world’s energy demands. This challenge intensifies as we explore CO2 and hydrogen storage in decarbonised energy solutions. Traditional FDP modelling is computationally demanding and manual, hampering effective decision-making. With the support of the Marie Skłodowska-Curie Actions programme, the Smart_FDP project will create a cutting-edge decision support tool integrating AI and metaheuristic algorithms into automated simulations. This self-adaptive optimisation framework tackles complex optimisation tasks in reservoir development, fostering efficient hydrocarbon recovery and addressing environmental concerns. It begins with digital formulation, followed by smart optimisation solutions and culminating in a user-friendly decision-making tool.
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.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencescomputer and information sciencesartificial intelligence
- natural sciencescomputer and information sciencesdata science
- natural scienceschemical sciencesorganic chemistryhydrocarbons
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Keywords
Programme(s)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Funding Scheme
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinator
7491 Trondheim
Norway