| Grant number: | 24/05690-0 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | September 01, 2024 |
| End date: | August 31, 2026 |
| Field of knowledge: | Engineering - Electrical Engineering - Telecommunications |
| Principal Investigator: | Guilherme Simon da Rosa |
| Grantee: | Raul Oliveira Ribeiro |
| Host Institution: | Faculdade de Engenharia. Universidade Estadual Paulista (UNESP). Campus Experimental São João da Boa Vista. São João da Boa Vista , SP, Brazil |
Abstract The prospecting of hydrocarbon reservoirs in deep underground formations is crucial for the oil and gas industry, especially with intelligent drilling in ultra-deep wells of the Campos and Santos Basins in Brazil.This demand requires the development of advanced computational techniques to solve Maxwell's equations in a robust and stable manner, given the complexity of the geophysical formations.In this sense, the project focuses on the development of numerical techniques for modeling electromagnetic profiling sensors, aimed at evaluating fossil hydrocarbon reserves and inspecting completed wells. The recent discovery of hydrocarbons in the Potiguar Basin, on the Brazilian Equatorial Margin, underscores the need for real-time well monitoring to prevent environmental impacts.These structures can be modeled by the junction of cylindrical waveguides with axial and radial stratifications. Conventional computational methods, which require discretization in the 3D domain, face problems of high computational cost and stability when considering significant contrasts in relation to the conductivity of the media and the thicknesses of the stratifications. An computationally efficient way to solve electromagnetic problems in these structures is by using the mode-matching technique~(MMT) employing fields obtained by the spectral element method~(SEM).MMT is a precise and flexible method for geometries with non-homogeneous media, being extremely efficient for large-scale problems in terms of wavelength. In summary, in the execution of this project, we will explore SEM combined with MMT for modeling of electromagnetic sensors for logging and inspection of oil wells in complex geophysical formations. (AU) | |
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