Abstract: The invention relates to a method for exploiting (EX) a geological reservoir according to an exploitation scheme (SE) defined on the basis of a matched reservoir model (CAL) with static data and dynamic data. For this method, a first reservoir model (MR) displaying a certain consistency with respect to the flow properties of the medium is preselected. This preselected model (MR) is then used as starting point for the history matching process (CAL).

Abstract: A method of developing a petroleum reservoir from a flow model constrained by production data and seismic data is disclosed. It is used to define a development scheme and to start or continue the reservoir development. Production data and seismic data associated with a fine grid are acquired during the development of the reservoir. Production data, as well as pressure and saturation values, are simulated in each cell of the flow model. A pressure value and a saturation value are assigned to each cell of the fine grid. A pressure equation is therefore solved locally on the fine grid and the saturations are calculated by writing the continuity of the phase flows between neighboring lithofacies, the conservation of the pore volume and the conservation of the phase volume. The maps obtained are then used to simulate seismic data.

Abstract: The invention IS a method for exploiting (EXP) a geological reservoir by using a reservoir model consistent with a geological model (MG). Reservoir models (MRn) are constructed by using different upscaling methods. By utilization of a connectivity study, conducted on the basis of an algorithm resolving the shortest path (DIS) applied to the meshings, the main flowpaths are identified between the wells for the geological model (MG) and for the different reservoir models (MRn). The reservoir model (MR) for which the lengths of the main flowpaths between wells are closest to those obtained for the starting geological model is then selected.

Abstract: The invention relates to a method for exploiting (EX) a geological reservoir according to an exploitation scheme (SE) defined on the basis of a matched reservoir model (CAL) with static data and dynamic data. For this method, a first reservoir model (MR) displaying a certain consistency with respect to the flow properties of the medium is preselected. This preselected model (MR) is then used as starting point for the history matching process (CAL).

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: A method of developing a petroleum reservoir from a flow model constrained by production data and seismic data is disclosed. It is used to define a development scheme and to start or continue the reservoir development. Production data and seismic data associated with a fine grid are acquired during the development of the reservoir. Production data, as well as pressure and saturation values, are simulated in each cell of the flow model. A pressure value and a saturation value are assigned to each cell of the fine grid. A pressure equation is therefore solved locally on the fine grid and the saturations are calculated by writing the continuity of the phase flows between neighboring lithofacies, the conservation of the pore volume and the conservation of the phase volume. The maps obtained are then used to simulate seismic data.

Abstract: A method for gradually modifying a geological model representative of an underground reservoir to respect fixed average proportions of lithologic facies. A group of facies is selected and a subgroup of associated facies are selected. A transformation parameter is defined by the ratio between the average proportions of the facies of the association and the selection. Within the context of historical matching, a difference between measured dynamic data values and values calculated by a flow simulator from the geological model is measured. An optimization algorithm is used to obtain therefrom a new value for the transformation parameter that minimizes the difference and the transformation is applied to the lithologic facies of the selection. The modification can be applied to the entire model or to a given zone.

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 gradually modifying a geological model representative of an underground reservoir so as to respect fixed average proportions of these lithologic facies. A group of facies referred to as selection and a subgroup of facies referred to as association are selected. A transformation parameter is defined by the ratio between the average proportions of the facies of the association and those of the selection. Within the context of history matching, a difference between measured dynamic data values and values calculated by means of a flow simulator from the geological model is measured. An optimization algorithm is used to deduce therefrom a new value for the transformation parameter that minimizes this difference and this transformation is applied to the lithologic facies of the selection. The modification can be applied to the entire model or to a given zone.