Reducing uncertainties of reservoir properties in an automatized process coupled with geological modeling considering scalar and spatial uncertain attributes

Reducing uncertainties of reservoir properties in an automatized process coupled with geological modeling considering scalar and spatial uncertain attributes

Forlan Almeida, Alessandra Davolio, Denis José Schiozer

ARTIGO

Inglês

Agradecimentos: This work was carried out in association with the ongoing Project registered under number 20372-9 ANP the “Development of integration between reservoir simulation and seismic 4D - Phase 2" (University of Campinas [UNICAMP]/Shell Brazil/ANP) funded by Shell Oil Brazil Ltda. Under the...

The current work introduces an automatized process coupled with geological modeling to reduce uncertainty in reservoir properties. The method assimilates dynamic data of wells interactively, and applies the deviations to constrain uncertainties. The methodology deals with scalar (e.g. rock...

Fechado

Reducing uncertainties of reservoir properties in an automatized process coupled with geological modeling considering scalar and spatial uncertain attributes

Forlan Almeida, Alessandra Davolio, Denis José Schiozer


										

Reducing uncertainties of reservoir properties in an automatized process coupled with geological modeling considering scalar and spatial uncertain attributes

Forlan Almeida, Alessandra Davolio, Denis José Schiozer

    Fontes

    Journal of petroleum science and engineering

    Vol. 189 (June, 2020), n. art. 106993