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2D and 3D tomographic methods based on CRS parameters.

Grant number: 16/19115-0
Support Opportunities:Scholarships in Brazil - Doctorate
Effective date (Start): October 01, 2016
Effective date (End): September 30, 2020
Field of knowledge:Physical Sciences and Mathematics - Geosciences - Geophysics
Principal Investigator:Martin Tygel
Grantee:Gustavo Barroso Dias Ignácio
Host Institution: Faculdade de Engenharia Mecânica (FEM). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Associated research grant:13/08293-7 - CCES - Center for Computational Engineering and Sciences, AP.CEPID


One of the main objectives of the processing of seismic data is to provide a detailed subsurface image of geological structures. Those images are typically obtained through depth migration techniques, most prominently the ones that are based on the wave equation. Under the use of a depth-velocity model inverted from the data, wave-equation techniques correlate the propagating wave fields from thesources with back-propagating fields from receivers through the application of a so-called imaging condition. The construction of such wave fields require intense computational effort, being crucially dependent on a velocity model extracted from the data [3]. As a consequence, methodologies and algorithms that are able to accurately and efficiently extract velocity models for depth migration are in high demand. Among the various approaches reported in the literature, so-called tomographic inversionalgorithms occupy a prominent role. The present project aims to advance the understanding ofvelocity-model building from seismic data with emphasis on the tomographic inversion approach.Besides a thorough investigation on the theoretical basis of that approach, the research will concentrate the development and testing of algorithms in realistic or real-data examples.

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Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
IGNÁCIO, Gustavo Barroso Dias. Tomografia CRP. 2021. Doctoral Thesis - Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Mecânica Campinas, SP.

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