Objective
The goal of the project is to produce an extendible framework for a system that enables the integrated use of different reservoir characterization methods, working at different levels of detail, using different sources of information and based on a variety of expertise.
State of the art data base management techniques will be combined with knowledge base system techniques. The following tasks can be distinguished:
1) Development of an information model and a knowledge model (rule set) of the reservoir characterization process. An inventory will be performed of relevant geological and geophysical knowledge (techniques). Special attention must be paid to the problem of correlating results at different levels of detail (e.g. well logs versus seismic data versus regional geology). Since reservoir characterization is a spatial problem, the problems of describing storing and using spatial (geological) information and knowledge must be addressed.
2) The success of the project will heavily depend on the ability to produce complete, precise, consistent and implementable descriptions of relevant reservoir characterization methods. Therefore attention must be paid to information analysis and knowledge engineering techniques which support the production of such descriptions.
3) Prototypical implementation of a knowledge system based on selected geological and geophysical knowledge. This will enable us to produce implementation techniques which enable the efficient use of spatial and signal knowledge. Stratigraphic seismic interpretation has been chosen as first prototyping domain.
These tasks will be performed largely in parallel so that results from either task can be iteratively evaluated and improved by applying them to other tasks.
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 artificial intelligence
- natural sciences computer and information sciences knowledge engineering
- natural sciences earth and related environmental sciences geology
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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)
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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
2600 JA Delft
Netherlands
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.