Statistics – Computation
Scientific paper
Feb 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011georl..3803305a&link_type=abstract
Geophysical Research Letters, Volume 38, Issue 3, CiteID L03305
Statistics
Computation
Computational Geophysics: Modeling (1952, 4255, 4316), Physical Properties Of Rocks: Fracture And Flow, Seismology: Tomography (6982, 8180), Structural Geology: Role Of Fluids
Scientific paper
The inversion of seismic data to infer rock microstructural properties and fluid flow patterns in the crust is a challenging issue. In this paper, we develop an effective medium model for estimating velocities in porous media including both pores and cracks and use it to derive the distribution of crack density beneath the Reykjanes Peninsula from accurate tomography data. Outside the active hydrothermal areas, crack density is shown to decrease with depth. There are two main reasons for this: the closure of cracks because of the increasing overburden and the secondary filling of cracks because of hydrothermal flows. However, crack density may locally increase with depth beneath the southwestern part of the Kleifarvatn lake. This is consistent with the presence of a deep reservoir with supercritical fluids under pressure, which may activate hydrofracturing processes. We recognize that capturing the link between seismic data and the physical properties of crust is very difficult. This study shows that a combination of mechanical concepts and effective medium theory contributes to improve our understanding of the phenomena occurring within the Icelandic crust.
Adelinet M.
Dorbath Catherine
Fortin Jérôme
Gueguen Yves
Le Ravalec M.
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