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008 260224s2001 xxu ing
041 _aInglés
245 0 0 _aReservoir Geophysics: Seismic Pattern Recognition Applied to Ultra-Deepwater Oilfield in Campos Basin, Offshore Brazil
_bSPE 69483
260 _aDallas, Texas
_bSociety of Petroleum Engineers
_c2001
270 _a12/09/06 ; 17/07/01
520 _aUsually, seismic data is used in a qualitative approach to detect changes in the waveform and to pick acoustic continuity of a peak and/or a through as a structural mapping tool. The seismic interpretation is a qualitative process for building a geological model. Today, many works try to use the seismic information in a quantitative approach. Seismic interpretation in a quantitative approach is a key process in the integration of geoscience data at scales from basin-wide studies, reservoir focused and field-development process. Quantitative modeling could be deterministic and/or probabilistic. We use, in many steps of a seismic processing sequence, examples of quantitative deterministic modeling like seismic migration, some seismic inversion methodology, etc. Probabilistic modeling can be gathered in two groups: multivariate statistics and geostatistics approaches. Close to probabilistic modeling, we have also the neural network method. In this paper, we focus on the application of neural network modeling for seismic pattern recognition (seismic facies analysis) applied an ultra-deepwater turbidite oilfield reservoir in Campos Basin, offshore Brazil.
942 _cCONGTP
100 1 _aJohann, Paulo
_96133
100 1 _aCastro, Dayse D. de
_96134
100 1 _aBarroso, Alberto S.
_96135
111 2 _aLatin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina)
_95738
700 1 _aCastro, Dayse D. de
_96134
700 1 _aBarroso, Alberto S.
_96135
711 2 _aLatin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina)
_95738
800 1 _aJohann, Paulo
_96133
999 _c130992
_d130992
856 _uhttps://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69483.pdf