Abstract: The invention is a method for determining uncertainties of a property of a sedimentary basin, comprising determining realizations of a spatial distribution of the property for combinations of uncertain parameters of a stratigraphic simulation or of a basin simulation, applying a principal component analysis to the realizations, and determining an approximate analytical model of the spatial distribution of the property by constructing an approximate analytical model for a selection of components whose sum of eigenvalues is greater than a predefined threshold. The approximate analytical model is iteratively improved by determining, at each iteration, at least one additional combination of uncertain parameters by adaptive sequential planning applied to the approximate analytical models of the selected components taken in descending order. The uncertainties of the properties are thereafter determined from the approximate analytical model.

Abstract: The present invention relates to a method for updating a stratigraphic model according to measurements performed in a basin.

Abstract: The invention is a method for real-time updating of a geological model using dynamic data while maintaining the coherence thereof with static observations. An initial set of reservoir property maps, obtained from stochastic simulations of a random function, are available. Parameters providing new realizations of the random function when applied to the set are selected. New maps are created using initial values of the parameters. As soon as new dynamic data are available, the parameters are modified to reduce a difference between the simulated data for perturbed models and the measured data. Finally, the reservoir is developed using a modified development scheme to account for the deformed maps.

Abstract: A method of modifying a geological model representative of an underground reservoir is disclosed which respects average proportions of the lithologic facies imposed by a production data calibration process which has application to petroleum reservoir development. A geographical zone Z is defined within the geological model and an average proportion in zone Z allowing the production data to be calibrated is determined for k facies, with an optimization process. The proportions of these facies are modified using a block indicator cokriging method constrained by the average proportions to be respected. A new geological model constrained by the modified facies proportions is simulated and the development of the underground medium is optimized by the simulated model.

Abstract: The invention is a method for exploiting a geological reservoir to exploit hydrocarbons or provide gas storage. The exploitation is defined on the basis of a reservoir model calibrated relative to dynamic data. The calibration is carried out by computing an objective function for a set of reservoir models. The objective function makes it possible to determine an analytical law of conditional distribution of the uncertain parameters of the model to generate new reservoir models added to the set of reservoir models.

Abstract: The invention is a method for real-time updating of a geological model using dynamic data while maintaining the coherence thereof with static observations. An initial set of reservoir property maps, obtained from stochastic simulations of a random function, are available. Parameters providing new realizations of the random function when applied to the set are selected. New maps are created using initial values of the parameters. As soon as new dynamic data are available, the parameters are modified to reduce a difference between the simulated data for perturbed models and the measured data. Finally, the reservoir is developed using a modified development scheme to account for the deformed maps.

Abstract: Method for optimizing the development of an underground reservoir, wherein a geological model is updated using dynamic data and well tests. A reservoir model is constructed by performing a geological model scale change. Dynamic data are simulated from this reservoir model. Influence zones are identified within the geological model where the well tests induce a pressure variation during well testing. Well tests are then simulated for each influence zone. An objective function measuring the difference between the simulated data and the measured data is calculated. The geological model is then modified so as to reduce to the maximum the objective function using a geostatistical parametrizing technique. Finally, development of the underground reservoir is optimized by evaluating, by means of a flow simulator, the reservoir production for various production schemes. Application: notably oil reservoir development.

Abstract: A method of modifying a geological model representative of an underground reservoir is disclosed which respects average proportions of the lithologic facies imposed by a production data calibration process which has application to petroleum reservoir development. A geographical zone Z is defined within the geological model and an average proportion in zone Z allowing the production data to be calibrated is determined for k facies, with an optimization process. The proportions of these facies are modified using a block indicator cokriging method constrained by the average proportions to be respected. A new geological model constrained by the modified facies proportions is simulated and the development of the underground medium is optimized by the simulated model.

Abstract: Method for optimizing the development of an underground reservoir, wherein a geological model is updated using dynamic data and well tests. A reservoir model is constructed by performing a geological model scale change. Dynamic data are simulated from this reservoir model. Influence zones are identified within the geological model where the well tests induce a pressure variation during well testing. Well tests are then simulated for each influence zone. An objective function measuring the difference between the simulated data and the measured data is calculated. The geological model is then modified so as to reduce to the maximum the objective function using a geostatistical parametrizing technique. Finally, development of the underground reservoir is optimized by evaluating, by means of a flow simulator, the reservoir production for various production schemes. Application: notably oil reservoir development.