Abstract: A method of performing aspects of an energy industry operation includes receiving input data at a processing system, the input data describing an assembly for performing the energy industry operation and properties of the formation, the assembly including a downhole component, the processing system configured to estimate production properties based on mathematical models including at least a model of the downhole component and one or more models for simulating fluid flow in the formation. The method also includes, based on the input data, generating a workflow that includes steps for estimating production properties using the models, receiving a selection from a user specifying a type of analysis to be performed and/or a level of complexity of analysis to be performed, customizing the workflow based on the user selection, estimating the production properties based on the models, where estimating is performed according to a procedure specified by the workflow.

Abstract: A method of performing aspects of an energy industry operation includes simulating an energy industry operation parameter by an analysis module, wherein simulating includes predicting values of the operational parameter via one or more mathematical models of the assembly and a formation region, and estimating an uncertainty range of at least one of the input data and the predicted values of the operational parameter; generating a performance envelope based on the predicted values and the uncertainty range; generating an operating envelope by the analysis module, the operating envelope prescribing minimum constraints on the operational parameter; during the energy industry operation, receiving real time measurements of the operational parameter by a production performance module, and comparing the measured operational parameter to the operating envelope and the performance envelope; and based on the measured operational parameter being outside the performance envelope, controlling the energy industry operation

Abstract: A method of performing aspects of an energy industry operation includes receiving input data at a processing system, the input data describing an assembly for performing the energy industry operation and properties of the formation, the assembly including a downhole component, the processing system configured to estimate production properties based on mathematical models including at least a model of the downhole component and one or more models for simulating fluid flow in the formation. The method also includes, based on the input data, generating a workflow that includes steps for estimating production properties using the models, receiving a selection from a user specifying a type of analysis to be performed and/or a level of complexity of analysis to be performed, customizing the workflow based on the user selection, estimating the production properties based on the models, where estimating is performed according to a procedure specified by the workflow.

Abstract: A method of performing aspects of an energy industry operation includes simulating an energy industry operation parameter by an analysis module, wherein simulating includes predicting values of the operational parameter via one or more mathematical models of the assembly and a formation region, and estimating an uncertainty range of at least one of the input data and the predicted values of the operational parameter; generating a performance envelope based on the predicted values and the uncertainty range; generating an operating envelope by the analysis module, the operating envelope prescribing minimum constraints on the operational parameter; during the energy industry operation, receiving real time measurements of the operational parameter by a production performance module, and comparing the measured operational parameter to the operating envelope and the performance envelope; and based on the measured operational parameter being outside the performance envelope, controlling the energy industry operation

Abstract: A data management toolkit for acquiring measurement data regarding hydrocarbon wells and reservoirs, from a database, and processing that data for application to a reservoir model. The data management toolkit is implemented as a web-based application, accessible from remote workstations. The reservoir engineer configures the data management toolkit to acquire measurement data and previously calculated parameter values over a date range, for one or more wells, and also specifies various processing options including filtering, averaging, and the like. Events, such as RFT tests and pressure build-up analyses, may also be included. The web-based data management toolkit is executed on a web server to acquire and process that data, and to then update model files accordingly.