SPE Annual Technical Conference and Exhibition 1999
DOI: 10.2118/56696-ms
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Managing Uncertainties on Production Predictions Using Integrated Statistical Methods

Abstract: fax 01-972-952-9435. AbstractReservoir engineering requires to manage many sources of uncertainties that can be classified in two categories : (a) uncontrolled uncertainties on the physical reservoir description parameters and (b) controlled uncertainties on the reservoir development scheme parameters. In this context engineers must answer several problems : describe prior uncertainties, identify the ones that actually influence the oil production process, make safe production forecasts and optimize the reserv… Show more

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Cited by 86 publications
(39 citation statements)
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“…where v is velocity, l is viscosity, K is permeability, q is phase density, and b is the non-Darcy beta factor used in the Forchheimer correction and is determined by a correlation proposed by Evans and Civan (1994) as given:…”
Section: Reservoir Modelling In Shale-gas Reservoirsmentioning
confidence: 99%
“…where v is velocity, l is viscosity, K is permeability, q is phase density, and b is the non-Darcy beta factor used in the Forchheimer correction and is determined by a correlation proposed by Evans and Civan (1994) as given:…”
Section: Reservoir Modelling In Shale-gas Reservoirsmentioning
confidence: 99%
“…In the proposed approach, uncertainty assessment through statistical approximation of the reservoir modeling workflow is mainly based on the experimental design theory (Damsleth et al, 1991;Dejean and Blanc, 1999;Corre et al, 2000;Feraille et al, 2003). This theory allows studying and quantifying the impact of uncertain parameters on a given process.…”
Section: Focus On Statistical Approximationsmentioning
confidence: 99%
“…The principle as quoted in [14] is "to get the maximum information at the lowest experimental cost by varying all the uncertain parameters simultaneously. In (this) case, the physical process is replaced by the reservoir simulator".…”
Section: Reservoir Modelingmentioning
confidence: 99%