Abstract: A method, apparatus, and computer readable storage medium perform oilfield-wide optimization in a field with a plurality of wells, with each well including a well flow rate management mechanism controlled by an associated well controller. In a central controller, a network simulation model functioning as a proxy of the field is accessed to determine an optimal allocation solution for the field, and a well-specific control signal is generated for each of the plurality of wells based upon the determined optimal allocation solution. The well-specific control signal for each of the plurality of wells is communicated to cause the associated well controller to control a flow rate management parameter associated with the well flow rate management mechanism for the well.

Abstract: A method, apparatus, and program product perform lift optimization in a field with a plurality of wells, with each well including an artificial lift mechanism controlled by an associated well controller. In a central controller, a network simulation model functioning as a proxy of the field is accessed to determine an optimal allocation solution for the field, and a well-specific control signal is generated for each of the plurality of wells based upon the determined optimal allocation solution. The well-specific control signal for each of the plurality of wells is communicated to the associated well controller to cause the associated well controller to control a lift parameter associated with the artificial lift mechanism for the well.

Abstract: A method, apparatus, and computer readable storage medium perform oilfield-wide optimization in a field with a plurality of wells, with each well including a well flow rate management mechanism controlled by an associated well controller. In a central controller, a network simulation model functioning as a proxy of the field is accessed to determine an optimal allocation solution for the field, and a well-specific control signal is generated for each of the plurality of wells based upon the determined optimal allocation solution. The well-specific control signal for each of the plurality of wells is communicated to cause the associated well controller to control a flow rate management parameter associated with the well flow rate management mechanism for the well.

Abstract: A method, apparatus, and program product perform lift optimization in a field with a plurality of wells, with each well including an artificial lift mechanism controlled by an associated well controller. In a central controller, a network simulation model functioning as a proxy of the field is accessed to determine an optimal allocation solution for the field, and a well-specific control signal is generated for each of the plurality of wells based upon the determined optimal allocation solution. The well-specific control signal for each of the plurality of wells is communicated to the associated well controller to cause the associated well controller to control a lift parameter associated with the artificial lift mechanism for the well.

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 system, method and computer readable medium capable of improving the efficiency and accuracy of oilfield production forecasting operations is described herein. Measured oilfield production data may be utilized to generate estimates for the mean, covariance and noise. Refined estimates for the mean and the covariance may be generated using a Bayesian probabilistic updating algorithm. The refined estimates may be utilized to generate an oilfield production forecast having a refined exponential decline curve associated with the measured production data and one or more uncertainty designations.

Abstract: A method, computing device, computer-readable storage medium, and system perform field lift optimization using single-variable slope control, and typically using distributed intelligence between a central controller and individual well controllers to provide lift optimization for the artificial lift mechanisms used by a plurality of wells in an oilfield. An oilfield-wide slope control variable is generated and distributed to the various wells within an oilfield for localized control at each well of the artificial lift mechanism therefor to provide for optimized oil production across an oil field. The oilfield-wide slope control variable is typically used to determine a well-specific lift parameter for each well based upon a well-specific performance curve for the well.