General Electric Company

Baker Hughes Esp, Inc.

Steven Jay Tyber

Scott Charles Evans

Adam Rasheed

Shyam Sivaramakrishnan

Mohammed Mounir Shalaby

Shanshan Wang

Peter Leigh Katlic

Jianhui Chen

Kiersten Marie Ralston

According to one embodiment, there is provided herein a system and method for producing a well lifecycle lift plan that includes considerations of multiple types of lift, multiple lift configurations associated with each lift type, and can be used to provide a prediction of when or if it would be desirable to change the lift plan at some time in the future. Another embodiment utilizes a heuristic database with rules that might be used to limit the solution space in some instances by restricting the solution to feasible configurations. A further embodiment teaches how multiple individual well optimization results might be combined with a reservoir model to obtain an optimized lift schedule for an entire field.

System and method for well artificial lift lifecycle planning

The present disclosure is directed to systems and methods for optimizing power output of a wind farm. The method includes determining baseline loading condition(s) for wind turbines of the wind farm and defining a baseline threshold value for the load sensors. Another step includes identifying at least one wind turbine having at least one load sensor operating below the baseline threshold value. An upgrade is then provided to the identified wind turbine. In response to the upgrade, the method includes determining whether the load sensor of the identified wind turbine continues to operate below the baseline threshold value. The method also includes classifying an additional load sensor(s) of an additional wind turbine with respect to the load sensor of the identified wind turbine to determine whether to provide the additional wind turbine with the upgrade.

System and method for optimizing wind farm performance

Methods, systems, computer program products, and articles of manufacture for managing a manufacturing environment are described. An optimized schedule for operators is generated based on an optimization data structure, the optimization data structure comprising one or more manufacturing objectives and one or more resource constraints. The manufacturing activity is simulated based on the generated optimized schedule and an initial state data structure, the initial state data structure comprising a representation of an initial state of the manufacturing environment. The simulation results are analyzed to, for example, determine if the manufacturing objectives are satisfied.

Methods, systems, and apparatus for resource allocation in a manufacturing environment

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Rexford, NY, United States of America

Steven Jay Tyber