Abstract: A method can include, responsive to receipt of input characterizing a geologic environment, utilizing a trained machine learning model to identify a number of geologic environments that include corresponding data stored in at least one database; analyzing one or more of the number of geologic environments; and outputting a result based at least in part on the analyzing.

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: A method includes receiving one or more parameters of a plurality of oilfield projects and one or more economic indicators of the plurality of oilfield projects, receiving one or more parameters of a prospective oilfield project, comparing the prospective oilfield project with the plurality of oilfield projects based on the one or more parameters of the prospective oilfield project and the one or more parameters of the plurality of oilfield projects, using a machine learning model, and predicting one or more economic indicators for the prospective oilfield project based at least in part on the comparing.

Abstract: Performing diagnostic of hydrocarbon production in a field includes generating a thermal-hydraulic production system model of a wellsite and a surface facility in the field, and simulating, using the thermal-hydraulic production system model, and based on multiple root causes, a hydrocarbon production problem to generate a feature vectors corresponding to the root causes. Each of feature vectors includes parameter values corresponding to physical parameters associated with the hydrocarbon production. Performing diagnostic further includes configuring, using the feature vectors, a classifier of the hydrocarbon production problem, detecting the hydrocarbon production problem in the field, analyzing, using the classifier, and in response to detecting the hydrocarbon production problem, surveillance data from the wellsite and the surface facility to identify a root cause, and presenting the root cause to a user.

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: The invention relates to a method of performing production operations. The method includes identifying a plurality of simulators from a group consisting of a wellsite simulator for modeling at least a portion of the wellsite of the oilfield and a non-wellsite simulator for modeling at least a portion of a non-wellsite portion of the oilfield, defining a first strategy template comprising a first condition defined based on a first variable of the plurality of simulators and a first action defined based on a control parameter of the plurality of simulators, wherein execution of the first action during simulation is determined based on the first condition in view of a logical relationship, developing a first strategy for managing the plurality of simulators during simulation, wherein the first strategy is developed using the first strategy template, and selectively simulating the operations of the oilfield using the plurality of simulators based on the first strategy.

Abstract: Methods, systems and apparatuses are provided for facilitating sequestration of naturally occurring or anthropogenic carbon dioxide. The methods, systems and apparatuses of the present invention include a software interface for facilitating an exchange of data among associated simulators which simulate various steps of the carbon sequestration process.

Abstract: The invention relates to a method of performing production operations. The method includes identifying a plurality of simulators from a group consisting of a wellsite simulator for modeling at least a portion of the wellsite of the oilfield and a non-wellsite simulator for modeling at least a portion of a non-wellsite portion of the oilfield, defining a first strategy template comprising a first condition defined based on a first variable of the plurality of simulators and a first action defined based on a control parameter of the plurality of simulators, wherein execution of the first action during simulation is determined based on the first condition in view of a logical relationship, developing a first strategy for managing the plurality of simulators during simulation, wherein the first strategy is developed using the first strategy template, and selectively simulating the operations of the oilfield using the plurality of simulators based on the first strategy.

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).