Project description
New technology to improve efficiency of reservoir simulation performances
Oil reservoirs require advanced techniques to recover oil. Recovery from hydrocarbon reservoirs requires three steps: the first results from the internal reservoir energy, the second involves the injection of water or gas to support the pressure, and the third is the process to extract the non-recovered oil. Reservoir simulations are usually executed to assess the performance of the applied methods. However, these simulations are time-consuming as several runs are required to achieve optimal results. The EU-funded SPM-RS project will develop an innovative strategy to create user-friendly smart proxy models for significantly reducing the run-time in reservoir simulation performances. The project will combine advanced methods including statistics, optimisation and data-driven techniques.
Objective
Despite the progress in renewable energies, oil and gas remain the primary source of energy. Recovery from hydrocarbon reservoirs is subjected to three steps: primary, secondary and tertiary. The primary step results from the intrinsic reservoir energy; the second stage usually consists of injection of water or gas to support the pressure; and the third stage is the process of extracting the oil that cannot be recovered during the previous stages, by injecting miscible gas, thermal and chemicals. To assess the performance of implemented methods during the recovery steps, reservoir simulations are usually performed. However, these traditional simulations are known to be time-consuming, and significant number of runs is required to achieve optimal results. This project will use a combination of advanced methods including optimization, statistics and data-driven techniques, to develop a novel strategy for establishing user-friendly smart proxy models which aim at reducing significantly the run-time in reservoir simulation tasks. The project will be performed at four levels: the physical and numerical aspects of the recovery methods, sampling strategies to select runs for the proxy, learning techniques to build the proxy, and their application for optimizing recovery plans. The project has ultimate multidisciplinary aspects, including reservoir engineering, data science and environment (as CO2 storage is included in the project). The project will be carried out by the experienced researcher who worked during his PhD on the application of data-driven techniques for resolving petroleum engineering problems. The experienced researcher will collaborate with supervisors with a strong background in reservoir simulation and optimization. The transfer of knowledge from the project will have a twofold benefit, to the host institution and to the researcher. Expected results have the potential to improve the knowledge about simulation calculability using new robust approaches.
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. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- natural sciences computer and information sciences data science
- engineering and technology environmental engineering energy and fuels renewable energy
- natural sciences chemical sciences organic chemistry hydrocarbons
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions
MAIN PROGRAMME
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H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
MSCA-IF - Marie Skłodowska-Curie Individual Fellowships (IF)
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) H2020-MSCA-IF-2019
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
7491 Trondheim
Norway
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.