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 system can include a back-end framework that validates a reservoir model and a production network model using field data to generate a validated integrated model based at least in part on the validated reservoir model and the validated production network model; and a front-end web portal application that receives integrated model simulation data from execution of a simulation using the validated integrated model.

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, apparatus, and program product for building an integrated network asset model for an oil and gas production system. A surface production network model associated with the oil and gas production system is retrieved. At least one well object of the surface production network is determined. Fluid properties for the at least one well object are determined based at least in part on a reservoir model associated with the oil and gas production system, and the integrated network asset model for the oil and gas production system is built based at least in part on the surface production network model, the at least one well object, and the fluid properties for the at least one well object.

Abstract: A system for automatically optimizing a Field Development Plan (FDP) for an oil or gas field uses a fast analytic reservoir simulator to dynamically model oil or gas production from the entire reservoir over time in an accurate and rapid manner. An objective function defining a Figure of Merit (FoM) for candidate FDPs is maximized, using an optimization algorithm, to determine an optimized FDP in light of physical, engineering, operational, legal and engineering constraints. The objective function for the Figure of Merit, e.g., net present value (NPV) or total production for a given period of time, relies on a production forecast from the fast analytic reservoir simulator for the entire FDP.

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: A system for automatically optimizing a Field Development Plan (FDP) for an oil or gas field uses a fast analytic reservoir simulator to dynamically model oil or gas production from the entire reservoir over time in an accurate and rapid manner. An objective function defining a Figure of Merit (FoM) for candidate FDPs is maximized, using an optimization algorithm, to determine an optimized FDP in light of physical, engineering, operational, legal and engineering constraints. The objective function for the Figure of Merit, e.g., net present value (NPV) or total production for a given period of time, relies on a production forecast from the fast analytic reservoir simulator for the entire FDP. The position, orientation and dimensions of analytical model elements for the subsurface oil or gas field, as well as the physical properties associated with these elements, correlate to connected flow volume data from a Shared Earth Model (SEM). Uncertainty in the SEM is considered via stochastic sampling.

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.