Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Michel Schonewille"'
Publikováno v:
Insights and Methods for 4D Reservoir Monitoring and Characterization. :209-216
Publikováno v:
GEOPHYSICS. 68:1303-1309
Seismic reservoir monitoring has become an important tool in the management of many fields. Monitoring subtle changes in the seismic properties of a reservoir caused by production places strong demands on seismic repeatability. A lack of repeatabilit
Publikováno v:
Proceedings.
We compare a 3D sparse time-domain Radon interpolator (TDRI) with frequency-domain matching pursuit Fourier interpolation (MPFI) using synthetic data and field data. MPFI and the similar anti-leakage Fourier transform are widely used beyond aliasing
Autor:
Michel Schonewille, A. J. W. Duijndam
Publikováno v:
GEOPHYSICS. 66:667-678
A good choice of the sampling in the transform domain is essential for a successful application of the parabolic Radon transform. The parabolic Radon transform is computed for each temporal frequency and is essentially equivalent to the nonuniform Fo
Publikováno v:
GEOPHYSICS. 64:524-538
Seismic signals are often irregularly sampled along spatial coordinates, leading to suboptimal processing and imaging results. Least squares estimation of Fourier components is used for the reconstruction of band‐limited seismic signals that are ir
Autor:
Michel Schonewille, A. J. W. Duijndam
Publikováno v:
GEOPHYSICS. 64:539-551
The nonuniform discrete Fourier transform (NDFT) can be computed with a fast algorithm, referred to as the nonuniform fast Fourier transform (NFFT). In L dimensions, the NFFT requires O(N(-lne)L+(∏𝓁=1LM𝓁)∑𝓁=1LlogM𝓁) operations, where
Publikováno v:
London 2013, 75th eage conference en exhibition incorporating SPE Europec.
Seismic data are typically irregularly and sparsely sampled along the spatial coordinates, leading to suboptimal further processing. Matching pursuit Fourier interpolation (MPFI) is a beyond aliasing interpolation technique for single component seism
Publikováno v:
SEG Technical Program Expanded Abstracts 2009.
Publikováno v:
71st EAGE Conference and Exhibition incorporating SPE EUROPEC 2009.
Swell noise is a common problem for towed streamer data. A straightforward approach to remove this noise, is to apply FX filtering to the frequency range where the noise is present, and replace noisy traces with their FX filtered versions for these f
Publikováno v:
SEG Technical Program Expanded Abstracts 2008.
Summary Swell noise is a common problem for towed streamer data. A straightforward approach to remove this noise, is to apply FX filtering to the frequency range where the noise is present, and replace noisy traces with their FX filtered versions for