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TitreEstimation of effective permeabilities in the Lower Stevens Formation of the Paloma Field, San Joaquin Valley, California
AuteurDesbarats, A
SourceSpe Reservoir Engineering vol. 3, no. 4, 1988 p. 1301-1307, https://doi.org/10.2118/15907-pa
Année1988
Séries alt.Secteur des sciences de la Terre, Contribution externe 20070589
ÉditeurSociety of Petroleum Engineers (SPE)
Documentpublication en série
Lang.anglais
DOIhttps://doi.org/10.2118/15907-pa
Mediapapier; en ligne; numérique
Formatspdf
Sujetsperméabilité; roches reservoirs; simulations par ordinateur; géostatistiques; systèmes d'écoulement; établissement de modèles; champs de pétrole; échantillons carrotés; roches sédimentaires; grès; Formation de Lower Stevens ; Champ de Paloma ; géomathématique; sédimentologie; combustibles fossiles
Illustrationsschematic diagrams; histograms; graphs; tables; variation diagrams
ProgrammeCRSNG Conseil de recherches en sciences naturelles et en génie du Canada
ProgrammeFCAC - Fonds pour la Formation de Chercheurs et Action Concertée
Diffusé2013 04 05
Résumé(Sommaire disponible en anglais seulement)
Simulation programs used in reservoir studies require effective gridblock permeability values representing spatial averages over large volumes of formation. Within such volumes, most reservoir rocks exhibit a considerable degree of heterogeneity, with permeability measurements often varying over several orders of magnitude. A satisfactory method for averaging permeabilities must consider not only the magnitude of permeability variations, but also the variations of permeability in permeability variations, but also the variations of permeability in space. Using experimental histograms and variograms to describe the heterogeneous permeability field within gridblocks, a Monte Carlo technique is used to estimate effective permeability. The method is illustrated by an example with actual permeability data from the lower Stevens formation of the Paloma field in Kern County, CA. Experimental downhole variograms of permeability showed a large nugget effect at short lags and a longer correlation structure with a range of 100 ft [30 m]. For the particular distribution and spatial correlation structure of these data, effective horizontal and vertical permeabilities were found to be respectively higher and lower than the geometric mean. Calculated effective permeabilities were found to be relatively insensitive to assumptions regarding the horizontal range of spatial correlation. This lack of sensitivity is caused by the large nugget effect or random short-range correlation structure. Effective permeabilities obtained with an approximate analytical relation were compared with effective permeabilities calculated numerically.
GEOSCAN ID224879