Comparison of risk analysis methodologies in a geostatistical contexto : monte carlo with joint proxy models and discretized latin hypercube

Comparison of risk analysis methodologies in a geostatistical contexto : monte carlo with joint proxy models and discretized latin hypercube

Susana Santos, Ana Teresa F. S. Gaspar, Denis J. Schiozer

ARTIGO

Inglês

Agradecimentos: The authors thank the following entities for supporting this research: PETROBRAS; the Research Network SIGER; the National Agency of Petroleum, Natural Gas and Biofuels (ANP); the Center for Petroleum Studies (CEPETRO), and the UNISIM Research Group; the Department of Energy of the...

During the development of petroleum fields, uncertainty quantification is essential to base decisions. Several methods are presented in the literature, but its choice must agree with the complexity of the case study to ensure reliable results at minimum computational costs. In this study, we...

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Comparison of risk analysis methodologies in a geostatistical contexto : monte carlo with joint proxy models and discretized latin hypercube

Susana Santos, Ana Teresa F. S. Gaspar, Denis J. Schiozer


										

Comparison of risk analysis methodologies in a geostatistical contexto : monte carlo with joint proxy models and discretized latin hypercube

Susana Santos, Ana Teresa F. S. Gaspar, Denis J. Schiozer

    Fontes

    International journal for uncertainty quantification

    Vol. 8, no. 1 (2018), p. 23-41