Five-dimensional interpolation: Recovering from acquisition constraints
By Daniel Trad. 2009
243 citations recorded by the source corpus.
Subfields: Geophysics, Ocean Engineering
View Paper: https://www.semanticscholar.org/paper/aff2ebb170536847d3cf3c7ff39717c0be71117b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Geophysics
- Jianwei Ma
- Siwei Yu
- Mauricio D. Sacchi
- Xiaoqun Zhang
- Nadia Kreimer
- Aaron F. Stanton
- Jingwei Liang
- R. Gondoin
In Ocean Engineering
- Siwei Yu
- R. Gondoin
- Mauricio D. Sacchi
- Misha Elena Kilmer
- Hassan Mansour
- Mostafa Naghizadeh
- Rajiv Kumar
- Shuchin Aeron
Citations in the corpus
- Seismic data interpolation and denoising in the frequency-wavenumber domain (2012, methodology): “Also, the current industrial multidimensional interpolation methods such as minimum weighted norm interpolation (MWNI) (Liu and Sacchi, 2004; Trad, 2009), anti-leakage Fourier transform (ALFT) (Xu et al., 2005), projection on convex sets (POCS) (Abma and Kabir, 2005), and multicomponent matching…”
- Multidimensional simultaneous random plus erratic noise attenuation and interpolation for seismic data by joint low-rank and sparse inversion (2015, methodology): “Concerning the input data, the best results are obtained with NMO-corrected data (Trad, 2009).”
- 5D seismic data completion and denoising using a novel class of tensor decompositions (2015, methodology): “Some of the current approaches, such as in Trad (2009) and Kreimer and Sacchi (2012b), work the f-x domain in which the data completion is carried out separately over the 4D slices corresponding to each frequency.”
- Seismic data restoration via data-driven tight frame (2014, background): “…1995; Trad et al., 2002), Fourier transform (Sacchi et al., 1998; Gulunay, 2003; Liu and Sacchi, 2004; Xu et al., 2005; Abma and Kabir, 2006; Trad, 2009), seislet transform (Fomel and Liu, 2010; Liu and Fomel, 2010), and curvelet transform (Hennenfent and Herrmann, 2008; Herrmann and…”
- Interpolation and denoising of high-dimensional seismic data by learning a tight frame (2015, methodology): “Among the thirdclass, Fourier transform is the only method currently used in industrial applications (Zwartjes and Sacchi, 2007; Liu and Sacchi, 2004; Duijndam et al., 1999; Trad, 2009).”
- Efficient matrix completion for seismic data reconstruction (2015, methodology): “Some of the methods require transforming the data into different domains, such as the Radon (Bardan, 1987; Kabir and Verschuur, 1995), Fourier (Duijndam et al., 1999; Sacchi et al., 1998; Curry, 2009; Trad, 2009) and curvelet domains (Herrmann and Hennenfent, 2008; Sacchi et al., 2009; Wang et al., ”
- Tensor completion based on nuclear norm minimization for 5D seismic data reconstruction (2013, methodology): “Recently developed methods known as “5D Interpolation” are in fact based on 4D interpolators because the time or temporal frequency axis is always correctly sampled (Trad, 2009).”