Data-driven wavefield focusing and imaging with multidimensional deconvolution: Numerical examples for reflection data with internal multiples

By F. Broggini, Roel Snieder, Kees Wapenaar. 2014

111 citations recorded by the source corpus.

Subfields: Geophysics, Ocean Engineering

View Paper: https://www.semanticscholar.org/paper/e34233768f1de1f3d1cdbb8690bc6086f1ad0566

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Geophysics

1. Kees Wapenaar
2. Andrew Curtis
3. J. Neut
4. C. D. C. Filho
5. K. Löer
6. Giovanni Angelo Meles
7. Matteo Ravasi
8. Roel Snieder

In Ocean Engineering

1. Kees Wapenaar
2. J. Neut
3. Andrew Curtis
4. Roel Snieder

Citations in the corpus

• Internal multiple prediction and removal using marchenko autofocusing and seismic interferometry (2015, background): “In principle, autofocused Green’s functions provide multiplefree images directly (Behura et al., 2014; Broggini et al., 2014).”
• Adaptive overburden elimination with the multidimensional Marchenko equation (2016, methodology): “As shown by Broggini et al. (2014), Marchenko imaging is not very sensitive to errors in the macro velocity model.”