Abstract: The present invention relates to a method for determining drain configurations of wells in a field containing a hydrocarbon reservoir, said method comprising: receiving a first set of geological gridded models; receiving a set of criteria; estimating a plurality of weights, each weight being associated to a respective criterion among the plurality of criteria, based on a reference drain configuration comprised in the first received set of geological gridded models and the received set of criteria; receiving a second geological gridded model of the field; determining a drain configuration based on the received set of criteria and the plurality of estimated weights.

Abstract: The present invention relates to a method for determining locations of wells in a field containing a hydrocarbon reservoir, said method comprising: receiving a first set of geological gridded models; receiving a set of criteria for positioning wells; receiving a plurality of reference well patterns associated to the first set of geological gridded models; estimating a plurality of weights, each weight being associated to a respective criterion among the plurality of criteria, based on the plurality of reference well patterns and the received set of criteria; receiving a second geological gridded model of the field; and determining locations of wells in the second geological gridded model based on the received set of criteria and the plurality of estimated weights.

Abstract: The process comprises positioning wells one after another in a group of potential cells of a geocellular model, each positioning of a well comprises: calculating for each cell of the group of potential cells, a fluid property insertion point driver (DFP1) representative of a fluid property maximization; calculating for each cell of the group of potential cells, a maximized distance insertion point driver (DMD1) representative of a maximization of a distance to another cell or group of cells having at least an undesired property; calculating for each cell of the group of potential cells a combined insertion point driver based on the fluid property insertion point driver (DFP1) and the maximized distance insertion point driver (DMD1); defining a well insertion point of the well being positioned at the cell having a maximal combined insertion point driver.

Abstract: The present invention relates to a method for optimizing a modeling of flows within a reservoir for optimization of oil/gas production, by receiving a first time step; receiving a flow condition for at least one well connected to the reservoir, selecting data in the control data that is applicable to the first time step; then determining at least one quality value based on the selected data. If a quality criterion is not met based on the quality value, determining a second time step within the first time step and reiterating step /c/ to /e/ with the second time step as the first time step. If the quality criterion is met based on the quality value, performing a modeling of flows within the reservoir based on said first time step.

Abstract: Disclosed is a method of characterising a subsurface volume. The method comprises: extracting a geobody from seismic data arranged within a discretised volume comprising a plurality of cells, the geobody comprising a subset of the plurality of cells, each cell of the subset having one or more properties indicative of a particular fluid phase. The extraction of the geobody comprises: determining a propagation probability value for each cell indicative of the probability that a front will propagate through the cell; beginning from a source within the discretised volume, using the propagation probability value to calculate a travel-time for each cell, the travel time describing the time the front takes to travel from the source point to the cell; and using the traveltimes to extract the geobody from the seismic data.

Abstract: Disclosed is a method of modelling a subsurface volume.

Abstract: Disclosed is a method of modelling a subsurface volume. History data for one or more parameters over a first period of time is obtained. The first period of time comprises a plurality of schedule periods, each schedule period having associated with it a sampled value of the considered parameter at the corresponding time. A merge error value is attributed to plural pairs of consecutive schedule periods, the merge error value representing a magnitude of the error in a merged value of each parameter over the duration corresponding to a pair of schedule periods being considered, relative to the sampled values for said pair of schedule periods being considered. The pair of schedule periods which have the smallest error value attributed thereto is merged, and the merged schedule period has attributed to it, the corresponding merged value of the corresponding parameter. The error value calculation and merger steps are repeated so as to reduce the total number of schedule periods.

Abstract: Disclosed is a method of monitoring the behaviour of a subsurface volume. The method comprises transforming a single discrete parameter or an ensemble of discrete parameters describing an attribute of the subsurface volume, each discrete parameter having N possible discrete values with N ?2, into N indicator parameters each having 2 possible discrete values; for each of the two value classes of each indicator parameter, determining the anisotropic distance to a value transition interface; transforming each of the indicator parameters into a corresponding continuous parameter using the determined anisotropic distance to the value transition interface; and using the continuous parameters in a history matching process.

Abstract: Disclosed is a method monitoring changes in saturation of a subsurface volume. The method comprises: obtaining observed data of saturation behaviour from the subsurface volume over time; using one or more models, obtaining simulated data of saturation behaviour from the subsurface volume over time; and transforming each of the observed data and simulated data.