Objective
In response to a global concern for more effective exploration and production of hydrocarbons, there is an absolute need to optimize operational costs and to limit the technical risks, associated to either health and safety or impact on the environment, leading to an increasing use of natural gas in Europe, gas being the cleanest fossil energy. As a result, more accurate evaluation of underground hydrocarbon reservoirs and gas storage facilities is needed. Formation evaluation aims at identifying and characterizing subsurface geological formations. This is generally done by measuring the rock properties with instruments (called logging tools) that are lowered in exploration wells. Of paramount importance are electrical resistivity measurements that are necessary to quantify the presence of hydrocarbons but also critical to provide key information on the dip, texture and structure around the borehole. Model1ing of the instruments' response in complex surroundings is an essential and critical part of the R&D process. Commercial 3D electromagnetic finite element programmes are not directly able to accurately model strong resistivity contrasts that can be found in potential hydrocarbon reservoirs. Specific programmes such ALAT 3D or SKYLINE developed by Schlumberger or 3D finite difference programmes developed by Delft TU (ET3D) or Texas University are extensively used to improve the performance of logging tools. However, these programmes are limited to DC measurements and to laterolog electrode-type tools. The research training area is the development of innovative techniques for efficient electromagnetic modeling since current approximations given by a DC model are no longer sufficient and improvement in the resolution of new borehole imagers requires modeling programmes that can cope with the operating frequency of these tools. This research work will not only provide innovative solutions for efficient exploration of hydrocarbons, but will also very likely apply to electronic tomography for example.
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 physical sciences electromagnetism and electronics
- natural sciences chemical sciences organic chemistry hydrocarbons
- engineering and technology environmental engineering energy and fuels fossil energy natural gas
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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.
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.
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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.
Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
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.
Coordinator
92142 CLAMART
France
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.