Abstract: A physical pipeline network is decomposed into multiple subnetworks. The subnetworks include upstream subnetworks and at least one downstream subnetwork. A network solver is executed on the upstream subnetworks in parallel to obtain a set of boundary conditions and a set of control device settings. The set of boundary conditions and a set of control device settings are then used to execute the network solver on the downstream subnetwork and obtain a result having another set of control device settings. The network solver may repeat executions until convergence is achieved. When convergence is achieved, the result is presented.

Abstract: A method can include receiving realizations of a model of a reservoir that includes at least one well where the realizations represent uncertainty in a multidimensional space; selecting a portion of the realizations in a reduced dimensional space to preserve an amount of the uncertainty; optimizing an objective function based at least in part on the selected portion of the realizations; outputting parameter values for the optimized objective function; and generating at least a portion of a field operations plan based at least in part on at least a portion of the parameter values.

Abstract: A method can include receiving realizations of a model of a reservoir that includes at least one well where the realizations represent uncertainty in a multidimensional space; selecting a portion of the realizations in a reduced dimensional space to preserve an amount of the uncertainty; optimizing an objective function based at least in part on the selected portion of the realizations; outputting parameter values for the optimized objective function; and generating at least a portion of a field operations plan based at least in part on at least a portion of the parameter values.

Abstract: A method includes obtaining a reservoir model for a subsurface reservoir, identifying a current state of the subsurface reservoir using the reservoir model, and a computer processor selecting an optimization function from multiple optimization functions according to the current state of the reservoir to obtain a selected optimization function. The method further includes the computer processor calculating valve positions of physical devices using the selected optimization function. The valve positions are implemented.

Abstract: Using a reservoir simulator, a reservoir model state is obtained. The reservoir model state is used to trace streamlines to obtain streamline trajectories and detect fluid fronts along the streamlines. Using the streamline trajectories, the streamlines are connected to wells. The streamlines are grouped for multiple granularity levels, into groups to obtain a grouping hierarchy. Through the granularity levels of the grouping hierarchy, fluid front time of flights are determined for the groups, and target flowrates assigned to completion devices based on the fluid front time of flights to obtain target flow rates. A completion design is presented that incorporates the target flowrates.

Abstract: A physical pipeline network is decomposed into multiple subnetworks. The subnetworks include upstream subnetworks and at least one downstream subnetwork. A network solver is executed on the upstream subnetworks in parallel to obtain a set of boundary conditions and a set of control device settings. The set of boundary conditions and a set of control device settings are then used to execute the network solver on the downstream subnetwork and obtain a result having another set of control device settings. The network solver may repeat executions until convergence is achieved. When convergence is achieved, the result is presented.

Abstract: A method includes obtaining a reservoir model for a subsurface reservoir, identifying a current state of the subsurface reservoir using the reservoir model, and a computer processor selecting an optimization function from multiple optimization functions according to the current state of the reservoir to obtain a selected optimization function. The method further includes the computer processor calculating valve positions of physical devices using the selected optimization function. The valve positions are implemented.

Abstract: A method can include receiving realizations of a model of a reservoir that includes at least one well where the realizations represent uncertainty in a multidimensional space; selecting a portion of the realizations in a reduced dimensional space to preserve an amount of the uncertainty; optimizing an objective function based at least in part on the selected portion of the realizations; outputting parameter values for the optimized objective function; and generating at least a portion of a field operations plan based at least in part on at least a portion of the parameter values.

Abstract: Flow balancing includes selecting, for each down hole flow control valve of a well, a transformed well performance curve corresponding to a first down hole flow control valve pressure to obtain transformed well performance curves. The well includes a lateral including the down hole flow control valves. Using a constraint set that includes a balancing condition for the lateral, a network optimization analysis is performed on the transformed well performance curves to generate a set of choke positions corresponding to each down hole flow control valve. Network modeling of the well is performed based on the set of choke positions to obtain a second down hole flow control valve pressure for each down hole flow control valve. Using the set of choke positions, a field operation is performed for the well based on the second down hole flow control valve pressure being within a threshold difference of the first down hole flow control valve pressure for each down hole flow control valve.

Abstract: Flow balancing includes selecting, for each down hole flow control valve of a well, a transformed well performance curve corresponding to a first down hole flow control valve pressure to obtain transformed well performance curves. The well includes a lateral including the down hole flow control valves. Using a constraint set that includes a balancing condition for the lateral, a network optimization analysis is performed on the transformed well performance curves to generate a set of choke positions corresponding to each down hole flow control valve. Network modeling of the well is performed based on the set of choke positions to obtain a second down hole flow control valve pressure for each down hole flow control valve. Using the set of choke positions, a field operation is performed for the well based on the second down hole flow control valve pressure being within a threshold difference of the first down hole flow control valve pressure for each down hole flow control valve.

Abstract: Methods and systems for performing well network production optimizations are described. For example, in one embodiment, a method of allocating an applied resource throughout a well network includes receiving topological data into an analytical model of a well network having one or more wells. The topological data includes a plurality of performance curves that relate well performance to one or more levels of an applied resource. The method also includes determining an optimum allocation of the applied resource using the analytical model to maximize an operating parameter of the well network, including converting a portion the analytical model having one or more wells and a linear inequality relationship to a modified portion having a single variable and a linear equality constraint.

Abstract: An integrated model based on plural underlying models relating to corresponding aspects of subterranean formation development is provided. A utility is created to perform a function using the integrated model. The utility is assigned to execute in a distributed computing system having a plurality of computer node. Computations performed by the utility are distributed across the plurality of computer nodes, where the computations are related to simulations using the integrated model.

Abstract: An integrated model based on plural underlying models relating to corresponding aspects of subterranean formation development is provided. A utility is created to perform a function using the integrated model. The utility is assigned to execute in a distributed computing system having a plurality of computer node. Computations performed by the utility are distributed across the plurality of computer nodes, where the computations are related to simulations using the integrated model.

Abstract: Methods and systems for performing well network production optimizations are described. For example, in one embodiment, a method of allocating an applied resource throughout a well network includes receiving topological data into an analytical model of a well network having one or more wells. The topological data includes a plurality of performance curves that relate well performance to one or more levels of an applied resource. The method also includes determining an optimum allocation of the applied resource using the analytical model to maximize an operating parameter of the well network, including converting a portion the analytical model having one or more wells and a linear inequality relationship to a modified portion having a single variable and a linear equality constraint.