Abstract: The present invention is a method of detecting and counting a geological constituent (cge) of an acquired image of a rock sample (IER), by a location detection machine learning method (ALG).

Abstract: The present invention relates to a method of detecting a geological constituent (cge) of a rock sample, by use of a machine learning method (ALG) trained with a limited number of training images (IAP), through segmentation (SEG) and partitioning (DEC) of training images (IAP) into multiple patches.

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: A method for evaluating an underground reservoir production scheme accounting for uncertainties is disclosed having applications, for example, to the development of petroleum reservoirs. Flow simulator input parameters characterizing the reservoir and the production scheme are selected. An approximate analytical model allowing the reservoir responses to be predicted is constructed. A desired degree of accuracy Dp is defined, this degree of accuracy Dp measuring the difference between the responses of the model and those of the simulator. The degree of accuracy Dp(M) of the predictions of the model is calculated. Simulations are selected which are performed, pertinent for adjustment of the model. The simulations are carried out for each response simulated by the simulator and the analytical model is adjusted by means of an approximation method.

Abstract: The invention stimulates production of an oil reservoir by determining a flow simulator from physical data measured in the oil reservoir; determining a first analytical model relating the production of the reservoir as a function of time by accounting for parameters which provides adjustment to production values closest to the production of the reservoir, the first model providing adjustment to the production values closest to a production values provided from the flow simulator; selecting at least one new production value, which is obtained from the reservoir simulator; and determining a second model by adjusting the first model so that the second model interpolates the new production value.

Abstract: Method for evaluating an underground reservoir production scheme taking account of uncertainties. Flow simulator input parameters characterizing the reservoir and the production scheme are selected. An approximate analytical model allowing the reservoir responses to be predicted is constructed. A desired degree of accuracy Dp is defined, this degree of accuracy Dp measuring the difference between the responses of the model and those of the simulator. The degree of accuracy Dp(M) of the predictions of the model is calculated. A design of experiments is constructed so as to select simulations to be performed, pertinent for adjustment of the model. The simulations selected by the design of experiments are carried out, then, for each response simulated by the simulator, the analytical model is adjusted by means of an approximation method. This operation is repeated until the desired degree of accuracy Dp is reached.

Abstract: The method of the invention is applicable to oil production to obtain the impact of technical and economic uncertainties on the economic profitability of a reservoir and/or to optimize the position of a new well in order to meet a development strategy. The invention includes in stage 1, uncertain technical parameters having an influence on the reservoir production are selected; in stage 2, an analytic model expressing the reservoir production in the course of time is determined as a function of the parameters selected in stage 1, from production values obtained by means of a flow simulator; and in stage 3, a model expressing the economic profitability of the reservoir is determined as a function of the technical and economic parameters, from the analytic model determined in stage 2.

Abstract: A method for optimizing the production of oil reservoirs, and notably the production schemes, while taking into account uncertainties inherent in any reservoir survey. The method sequentially has the following stages: Stage 1: A sensitivity study to evaluate the impact, on the production of the oil reservoir, of the production scheme configurations tested (several well sites, . . . ) in relation to the uncertainties specific to the reservoir (permeability, aquifer force, . . . ). Stage 2: A quantification study of the risks associated with the configurations being studied to determine whether it is necessary to seek an optimum production scheme. Stage 4: A production scheme optimization study: having, the goal to determine the ideal production configuration for a given objective.

Abstract: The invention stimulates the production of an oil reservoir by carrying out a sequence of steps of constructing a flow simulator from physical data measured in the oil reservoir; determining a first analytical model relating the production of the reservoir as a function of time by taking account of parameters having an influence on the production of the reservoir, the first model best adjusting to a finite number of production values obtained by the reservoir simulator; selecting at least one new production value, this new value being obtained by the reservoir simulator; and determining a second model by adjusting the first model so that the second model interpolates the new production value.

Abstract: The method of the invention is applicable to oil production to obtain the impact of technical and economic uncertainties on the economic profitability of a reservoir and/or to optimize the position of a new well in order to meet a development strategy. The invention includes in stage 1, uncertain technical parameters having an influence on the reservoir production are selected; in stage 2, an analytic model expressing the reservoir production in the course of time is determined as a function of the parameters selected in stage 1, from production values obtained by means of a flow simulator; and in stage 3, a model expressing the economic profitability of the reservoir is determined as a function of the technical and economic parameters, from the analytic model determined in stage 2.

Abstract: A method for optimizing the production of oil reservoirs, and notably the production schemes, while taking into account uncertainties inherent in any reservoir survey.