Abstract: A method can include receiving sample information for reservoir fluid samples and automatically selecting one or more equations of state from a plurality of different equations of state, which can suitably match the reservoir fluid samples and/or other samples. Such a method can also include automatically generating initial conditions based at least in part on sample information where such initial conditions along with one or more selected equations of state can be utilized in simulating physical phenomena using at least a reservoir model to generate simulation results. Such a method can include outputting at least a portion of the simulation results, which may be utilized in one or more processes.

Abstract: A computer-implemented method for predicting hydrocarbon fluid properties comprises the step of receiving an incomplete set of pressure-volume-temperature (PVT) data for hydrocarbon fluid samples from a PVT data base; reading the incomplete set of PVT data; transforming the incomplete set of PVT data into a unified data structure; selecting items of the PVT data from the incomplete set of PVT data; processing the selected items of the PVT data to identify a plurality of correlations in the selected items of the PVT data based on one or more of the fluid properties of the hydrocarbon fluid samples; clustering, using at least one of a plurality of clustering schemes, the selected items of the PVT data into a plurality of clusters; and performing machine learning on the plurality of clusters to predict missing fluid properties in the incomplete set of PVT data to obtain a complete set of PVT data.

Abstract: A method for identifying locations for components of a hydrocarbon production facility may involve receiving, via a processor, input data having one or more maps representative of an area, a plurality of sets of coordinates for a plurality of wells, and cost data associated with at least one of the plurality of components. The method may also involve determining a set of candidate components that corresponds to the plurality of locations based on the input data and an optimization algorithm and determining additional sets of candidate components that correspond to the plurality of locations based on the input data, the set of candidate locations, and the optimization algorithm. The method may then include generating one or more additional maps indicative of the plurality of locations for the plurality of components based on at least one of the one or more additional sets of candidate components.

Abstract: A method for identifying locations for components of a hydrocarbon production facility may involve receiving, via a processor, input data having one or more maps representative of an area, a plurality of sets of coordinates for a plurality of wells, and cost data associated with at least one of the plurality of components. The method may also involve determining a set of candidate components that corresponds to the plurality of locations based on the input data and an optimization algorithm and determining additional sets of candidate components that correspond to the plurality of locations based on the input data, the set of candidate locations, and the optimization algorithm. The method may then include generating one or more additional maps indicative of the plurality of locations for the plurality of components based on at least one of the one or more additional sets of candidate components.

Abstract: A method for identifying locations for components of a hydrocarbon production facility may involve receiving, via a processor, input data having one or more maps representative of an area, a plurality of sets of coordinates for a plurality of wells, and cost data associated with at least one of the plurality of components. The method may also involve determining a set of candidate components that corresponds to the plurality of locations based on the input data and an optimization algorithm and determining additional sets of candidate components that correspond to the plurality of locations based on the input data, the set of candidate locations, and the optimization algorithm. The method may then include generating one or more additional maps indicative of the plurality of locations for the plurality of components based on at least one of the one or more additional sets of candidate components.

Abstract: Provided herein are systems, methods and apparatuses for a Black Hole Particle Swarm Optimization for Optimal Well Placement in Field Development Planning.

Abstract: A method of performing Field Management is disclosed, a Field Management system including a portable Field Management (FM) framework being initially decoupled from any simulators, one or more adaptors operatively connected to the FM framework, and one or more open interfaces associated, respectively, with the one or more adaptors, the open interfaces each having interface characteristics, the method comprising: modifying one or more of the simulators such that the simulators adhere to the interface characteristics of the open interfaces of the one or more adaptors which are operatively connected to the FM framework; subsequently coupling the one or more modified simulators to the one or more open interfaces of the one or more adaptors of the FM framework in response to the modifying step; and performing the Field Management on the condition that the one or more modified simulators are coupled to the one or more open interfaces of the one or more adaptors of the FM framework.

Abstract: A method includes initiating a first reservoir simulation on a first simulator for a first set of physical parameters of a first reservoir. The first reservoir simulator uses a first set of components for a compositional reservoir model. A second reservoir simulation is initiated on a second simulator. A network simulation is initiated on a network simulator to model a network for coupling the first reservoir and the second reservoir to a surface facility. The network simulator uses a second set of components for a compositional network model. The method further includes translating each of a first hydrocarbon fluid stream of the first reservoir simulator and a second hydrocarbon fluid stream of the second reservoir simulator to a common fluid model. Further, network balancing is initiated among the simulators at a corresponding point in each controller time step.

Abstract: A method for black oil delumping is disclosed which comprises: converting a black oil wellstream into a compositional wellstream thereby enabling the composition and component molar rates of a production well in a black oil reservoir simulation to be reconstituted.

Abstract: A method for black oil delumping is disclosed which comprises: converting a black oil wellstream into a compositional wellstream thereby enabling the composition and component molar rates of a production well in a black oil reservoir simulation to be reconstituted.

Abstract: A method for black oil delumping is disclosed which comprises: converting a black oil wellstream into a compositional wellstream thereby enabling the composition and component molar rates of a production well in a black oil reservoir simulation to be reconstituted.

Abstract: A method of performing Field Management is disclosed, a Field Management system including a portable Field Management (FM) framework being initially decoupled from any simulators, one or more adaptors operatively connected to the FM framework, and one or more open interfaces associated, respectively, with the one or more adaptors, the open interfaces each having interface characteristics, the method comprising: modifying one or more of the simulators such that the simulators adhere to the interface characteristics of the open interfaces of the one or more adaptors which are operatively connected to the FM framework; subsequently coupling the one or more modified simulators to the one or more open interfaces of the one or more adaptors of the FM framework in response to the modifying step; and performing the Field Management on the condition that the one or more modified simulators are coupled to the one or more open interfaces of the one or more adaptors of the FM framework.

Abstract: Integrated surface-subsurface modeling has been shown to have a critical impact on field development and optimization. Integrated models are often necessary to analyze properly the pressure interaction between a reservoir and a constrained surface facility network, or to predict the behavior of several fields, which may have different fluid compositions, sharing a common surface facility. The latter is gaining a tremendous significance in recent deepwater field development. These applications require an integrated solution with the following capabilities: * to balance a surface network model with a reservoir simulation model in a robust and efficient manner. * To couple multiple reservoir models, production and injection networks, synchronising their advancement through time. * To allow the reservoir and surface network models to use their own independent fluid descriptions (black oil or compositional descriptions with differing sets of pseudo-components).

Abstract: A method for black oil delumping is disclosed which comprises: converting a black oil wellstream into a compositional wellstream thereby enabling the composition and component molar rates of a production well in a black oil reservoir simulation to be reconstituted.