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Zawartość zarchiwizowana w dniu 2024-06-11

From seismic anisotropy to upper mantle flow - an integrated numerical study

Cel



Research objectives and content
Study of the upper mantle deformation by modeling the development of a seismically anisotropic structure due to a specific flow process. This simulation corresponds to successive steps: 1- Thermo-mechanical modeling of the finite strain field generated by a given geodynamic process 2- Modeling of the crystallographic fabrics generated by this strain field 3- Using these fabrics, calculation of the 3D elastic properties of the medium; 4- Modeling of shear waves propagation through this medium. I propose to acquire the seismic modeling skills and interface the different models.
Predictions will be compared with seismic (analysis of shear-wave splitting measurements) and petrofabric data (acquired using Leeds' SEM techniques).
Training content (objective, benefit and expected impact)
Acquire skills in: (1) Analysis of teleseismic data. (2) Theory of wave propagation in anisotropic media. (3) Seismic modeling. (4) SEM petrofabric analyses.
This training, associated with my present skills, will result in a scientific profile that spans various disciplines of the Earth Sciences: Structural Geology, Geodynamics, and Seismology, providing me a strong foundation for the study of the tensorial physical properties of rocks, whose effects on the upper mantle and crustal evolution are still largely unknown.
Links with industry / industrial relevance (22)
This project may lead to a refinement of seismic investigation techniques used in oil and mineral exploration. This will be particularly useful in areas of intense deformation, like salt diapirs or shear zones.

Dziedzina nauki (EuroSciVoc)

Program(-y)

Temat(-y)

Zaproszenie do składania wniosków

Brak dostępnych danych

System finansowania

RGI - Research grants (individual fellowships)

Koordynator

UNIVERSITY OF LEEDS
Wkład UE
Brak danych
Adres
Woodhouse Lane
LS2 9JT LEEDS
Zjednoczone Królestwo
Koszt całkowity
Brak danych

Uczestnicy (1)