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.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesphysical scienceselectromagnetism and electronics
- natural scienceschemical sciencesorganic chemistryhydrocarbons
- engineering and technologyenvironmental engineeringenergy and fuelsfossil energynatural gas
You need to log in or register to use this function
Topic(s)
Data not availableCall for proposal
Data not availableFunding Scheme
BUR - Bursaries, grants, fellowshipsCoordinator
92142 CLAMART
France