02262nmc a2200253 4500 20260520005605.0 260224s2001 xxu ing Inglés Reservoir Geophysics: Seismic Pattern Recognition Applied to Ultra-Deepwater Oilfield in Campos Basin, Offshore Brazil SPE 69483 Dallas, Texas Society of Petroleum Engineers 2001 12/09/06 ; 17/07/01 Usually, 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. CONGTP Johann, Paulo 6133 Castro, Dayse D. de 6134 Barroso, Alberto S. 6135 Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina) 5738 Castro, Dayse D. de 6134 Barroso, Alberto S. 6135 Latin American and Caribbean Petroleum Engineering Conference (7th : 2001 mar. 25-28 : Buenos Aires, Argentina) 5738 Johann, Paulo 6133 130992 130992 https://biblioteca.iapg.org.ar/ArchivosAdjuntos/LACPEC2001/Spe69483.pdf 0 0 0 0 201914 BVIAPG BVIAPG 2026-03-03 200003048 0 200003048 2026-03-03 01:41:08 2026-03-03 ARCHIVO