Objective
To combine the use of exploration tools, innovative reservoir description techniques, and methods normally used in the operation of oil and gas fields, into an integrated method. The use of this method will lead to better evaluation of petroleum reservoirs, improved location of appraisal and development wells, and more reliable, geologically-sound reservoir models. Through better informed selection of recovery techniques and improved dynamic monitoring of fields, this will result in improved recovery rates.
It has been found that this type of collaborative integration project requires a concentrated effort, in its early stages, on establishing data pathways and processes.
A requirement has been identified for a shared model of the subsurface, to be built and used by geoscientists and reservoir engineers together.
Initial and updated versions of shared subsurface models have been built for the three fields included in the project (two oil fields and one gas field).
Petroacoustic measurements and modelling, coupled to seismic, and integrated with geological and reservoir techniques, have been proved efficient to assess reservoir description.
Two out of the three models had been identified for validation against production data. This has been proved successful on both cases and particularly an oil-water production history period of eight years has been matched in a very few number of runs (< 5), which is a huge leap ahead compared to present common practice.
The IRMA project proposes to replace the normal method by which oil and gas field reservoir models are developed with a new method in which different aspects of geoscience and engineering are integrated by a multi-disciplinary team.
The innovative method consists of the simultaneous interpretation of geological, geophysical and reservoir engineering data in the development of reservoir models which are fully consistent with all the data. This approach is a departure from conventional practice and is designed to improve the accuracy, dependability and adaptability of reservoir models. The project will apply advanced, proven techniques in geophysics and geostatistics which are not applied in conventional reservoir studies. These techniques will permit the construction of reservoir simulations which are closely based on detailed geological models, themselves constrained by both geophysical and well-test data.
Three case studies will be carried out on active oil and gas fields and theresults will be objectively validated against reservoir performance and against new wells drilled in the course of field development.
The proposed method will be applicable to conventional datasets and will not be significantly more expensive to apply then the normal, non-integrated approach to reservoir modelling. The expected improvement in field development efficiency and in average recovery factors will yield a substantial economic benefit.
The project is divided in five phases :
PHase 1 - Data Checking
Phase 2 - Data preparation
Phase 3 - Case study
Phase 4 - Synthesis & validation
Phase 5 - Results
Fields of science (EuroSciVoc)
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Programme(s)
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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
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Funding Scheme
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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
92500 Rueil Malmaison
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.