Although generally very powerful, noise and multiple attenuation techniques can often leave remnants in seismic data. For example, noise from extraneous sources such as rigs and other boats can be hard to model and fully remove using standard methods. Similarly, multiple remnants are often present after multiple attenuation when multiples are generated b
Both random and structured perturbations affect seismic data. Their removal, to unveil meaningful ge...
The prevention recognition and correction of wavelet instability is critical to exploration success ...
Obtaining reliable empirical Green\u27s functions (EGFs) from ambient noise by seismic interferometr...
This paper describes how the continuous wavelet transform is used to filter multiple waveforms in bo...
Seismic noise is unwanted energy which opposed to the signals corresponding to the reflected energy ...
The wavelet transform, a relatively new mathematical technique, allows the analysis of non-stationar...
Introduction To remove effects of unwanted signatures such as a long seismic wavelet or multiples by...
International audienceSeismic data and their complexity still challenge signal processing algorithms...
International audienceThe goal of this work is to provide a brief overview of some recent advances i...
Seismic data are discrete and can be arranged as data matrices, ith sources along the rows and recei...
International audienceSeismic synthetic records represent wave-front components which contain abunda...
We propose a method for uncoherent noise removal in geophysical data. The Multiple Wavelet Stacking ...
We present a new pattern-based method that separates multiples from primaries. This method finds its...
Multiple reflections constitute one of the most troublesome forms of coherent noise in seismic explo...
In seismic exploration, random noise deteriorates the quality of acquired data. This study analyzed ...
Both random and structured perturbations affect seismic data. Their removal, to unveil meaningful ge...
The prevention recognition and correction of wavelet instability is critical to exploration success ...
Obtaining reliable empirical Green\u27s functions (EGFs) from ambient noise by seismic interferometr...
This paper describes how the continuous wavelet transform is used to filter multiple waveforms in bo...
Seismic noise is unwanted energy which opposed to the signals corresponding to the reflected energy ...
The wavelet transform, a relatively new mathematical technique, allows the analysis of non-stationar...
Introduction To remove effects of unwanted signatures such as a long seismic wavelet or multiples by...
International audienceSeismic data and their complexity still challenge signal processing algorithms...
International audienceThe goal of this work is to provide a brief overview of some recent advances i...
Seismic data are discrete and can be arranged as data matrices, ith sources along the rows and recei...
International audienceSeismic synthetic records represent wave-front components which contain abunda...
We propose a method for uncoherent noise removal in geophysical data. The Multiple Wavelet Stacking ...
We present a new pattern-based method that separates multiples from primaries. This method finds its...
Multiple reflections constitute one of the most troublesome forms of coherent noise in seismic explo...
In seismic exploration, random noise deteriorates the quality of acquired data. This study analyzed ...
Both random and structured perturbations affect seismic data. Their removal, to unveil meaningful ge...
The prevention recognition and correction of wavelet instability is critical to exploration success ...
Obtaining reliable empirical Green\u27s functions (EGFs) from ambient noise by seismic interferometr...