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3-D stochastic reservoir modeling constrained by well and seismic data on a turbidite field

Conference ·
OSTI ID:471885

A new methodology for 3-D stochastic reservoir modeling constrained by well and seismic data is applied to a pilot area, the Namorado turbidite giant oil field in the Campos basin. The stochastic modeling is based on a truncated Gaussian approach, with a non stationary algorithm using a 3-D matrix of lithotype proportions. The proportion matrix can be constrained by qualitative or quantitative seismic derived information. Qualitative information corresponds to vertical proportion curves, predicted at the trace locations, from seismic facies analysis. Quantitative information are estimates of lithotype thicknesses, over all the reservoir section, derived from calibration of seismic attributes. Whatever type of seismic constraints-qualitative or quantitative-their incorporation in the reservoir modeling led to a major improvement of reservoir heterogeneity representation, in the case of the Namorado field. The methodology is thus promising for other fields, particularly in turbidite environment.

OSTI ID:
471885
Report Number(s):
CONF-961003--
Country of Publication:
United States
Language:
English