BIRD, BCAM's Institutional Repository Data

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Communities in BIRD

Recently Added

  • Fast inversion of logging-while-drilling resistivity measurements acquired in multiple wells 

    Bakr S. A.; Pardo D.; Torres-Verdín C. (Geophysics, 2016-10)
    This paper introduces a new method for the fast inversion of borehole resistivity measurements acquired in multiple wells using logging-while-drilling (LWD) instruments. There are two key novel contributions. First, we ...

  • Finite element approximation of electromagnetic fields using nonfitting meshes for Geophysics 

    Chaumont-Frelet T.; Nicaise S.; Pardo D. (SIAM Journal on Numerical Analysis, 2018-07)
    We analyze the use of nonfitting meshes for simulating the propagation of electromagnetic waves inside the earth with applications to borehole logging. We avoid the use of parameter homogenization and employ standard edge ...

  • Time-Domain Goal-Oriented Adaptivity Using Pseudo-Dual Error Representations 

    Muñoz-Matute J.; Alberdi E.; Pardo D.; Calo V.M. (Computer Methods in Applied Mechanics and Engineering, 2017-12)
    Goal-oriented adaptive algorithms produce optimal grids to solve challenging engineering problems. Recently, a novel error representation using (unconventional) pseudo-dual problems for goal-oriented adaptivity in the ...

  • Bloom type inequality for bi-parameter singular integrals: efficient proof and iterated commutators 

    Li K.; Martikainen H.; Vuorinen E. (International Mathematics Research Notices, 2019-03-14)
    Utilising some recent ideas from our bilinear bi-parameter theory, we give an efficient proof of a two-weight Bloom type inequality for iterated commutators of linear bi-parameter singular integrals. We prove that if $T$ ...

  • Fractional kinetics in random/complex media 

    Pagnini G. (Handbook of Fractional Calculus with Applications Volume 5 Applications in Physics, Part B, 2019)
    In this chapter, we consider a randomly-scaled Gaussian process and discuss a number of applications to model fractional diffusion. Actually, this approach can be understood as a Gaussian diffusion in a medium characterized ...

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