Abstract: In one implementation, a method can include receiving historical data characterizing a detected operational characteristic of a first industrial machine of a plurality of industrial machines in a cluster. The method can also include determining an operational envelop associated with the first industrial machine from the historical data. The operational envelop can be indicative of a range of values of an operating parameter of the first industrial machine. The method can further include determining an operating parameter recommendation, the determining can include using the operational envelop and a user input as operational constraints associated with one or more of the plurality of industrial machines. The method can also include rendering, in a graphical user interface display space, a visual representation of the operating parameter recommendation.

Abstract: In one implementation, a method can include receiving historical data characterizing a detected operational characteristic of a first industrial machine of a plurality of industrial machines in a cluster. The method can also include determining an operational envelop associated with the first industrial machine from the historical data. The operational envelop can be indicative of a range of values of an operating parameter of the first industrial machine. The method can further include determining an operating parameter recommendation, the determining can include using the operational envelop and a user input as operational constraints associated with one or more of the plurality of industrial machines. The method can also include rendering, in a graphical user interface display space, a visual representation of the operating parameter recommendation.

Abstract: Apparatus, computer readable medium, program code, and methods for performing a parameter recalibration on parameters for an electrical submersible pump application model, are provided. An example of a method can include generating a data set containing a plurality of winning data sets or rows containing ESP application model input parameters and associated theoretical output parameters for an ESP application model substantially matching a corresponding set of measured ESP output parameters, through application of a self-organizing map analysis on a substantial number of training data sets. An averaging analysis is performed on the plurality of winning data sets or rows to obtain a set of ESP application model input parameters that can be used to recalibrate the ESP application model.

Abstract: An apparatus and method is disclosed for modeling an electric submersible pump using a neural network, data from a deterministic model, and, optionally, data obtained from a real world electric submersible pump. It is emphasized that this abstract is provided to comply with the rules requiring an abstract which will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: An apparatus and method is disclosed for modeling an electric submersible pump using a neural network, data from a deterministic model, and, optionally, data obtained from a real world electric submersible pump. It is emphasized that this abstract is provided to comply with the rules requiring an abstract which will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.

Abstract: An apparatus and method is disclosed for modeling an electric submersible pump using a neural network, data from a deterministic model, and, optionally, data obtained from a real world electric submersible pump. It is emphasized that this abstract is provided to comply with the rules requiring an abstract which will allow a searcher or other reader to quickly ascertain the subject matter of the technical disclosure. It is submitted with the understanding that it will not be used to interpret or limit the scope or meaning of the claims.