Robust P-Wave Fracture Characterization from Wide-Azimuth Seismic Data

Angerer, Erika; Lecerf, D.; Lanfranchi, Pierre

doi:10.3997/2214-4609-pdb.6.c21

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Regularization1

Decomposition Of Wide-azimuth Data For Fracture Characteriza1

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2013

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Cited by 5 publications

(2 citation statements)

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“…Geo-statistical decomposition/filtering (Angerer et al, 2003) was subsequently applied, using combinations of these azimuthlimited cubes to extract the noise-free isotropic/common component as well as the noise-free anisotropic components.…”

Section: Regularizationmentioning

confidence: 99%

Maximizing the value of existing seismic data in the Bahrain Field with wide-azimuth processing technology

Maili¹,

Burns²,

Jones³

et al. 2013

First Break

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Section: Regularizationmentioning

confidence: 99%

Maximizing the value of existing seismic data in the Bahrain Field with wide-azimuth processing technology

Maili¹,

Burns²,

Jones³

et al. 2013

First Break

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“…In seismic fracture characterization (Angerer et al, 2003) we work with azimuth-limited data sets of wide-azimuth, wide-offset surveys which provide the multi-dimensional input to AFACK. Here, geostatistical filtering is performed in two passes and achieves the following: (1) the evaluation of the common part of all azimuths, (2) an isolation of the anisotropy component of each azimuth, and (3) the removal of random and organized noise.…”

Section: Decomposition Of Wide-azimuth Data For Fracture Characterizamentioning

confidence: 99%