A method may include obtaining wellhead temperature data from a wellhead coupled to a wellbore. The method may further include obtaining production data regarding the wellhead. The method may further include obtaining water cut data from the wellhead. The method may further include calibrating a production model for the wellhead based on the production data and the wellhead temperature data to generate a calibrated production model. The method may further include determining a predicted production rate of the wellhead using the calibrated production model, the water cut data, and flowing wellhead temperature data.

A method may include obtaining wellhead temperature data from a wellhead coupled to a wellbore. The method may further include obtaining production data regarding the wellhead. The method may further include obtaining water cut data from the wellhead. The method may further include calibrating a production model for the wellhead based on the production data and the wellhead temperature data to generate a calibrated production model. The method may further include determining a predicted production rate of the wellhead using the calibrated production model, the water cut data, and flowing wellhead temperature data.

An imbedded control system is disclosed for use with an engine having a combustion chamber and an associated piston associated. The control system may have at least one sensor configured to generate a signal indicative of a combustion process occurring inside the combustion chamber, and a controller in communication with the at least one sensor. The controller may be configured to determine an amount of heat and a pressure generated inside the combustion chamber based on the signal and a combustion model, to determine a heat flux through the piston based on the amount of heat and a heat flux model, and to determine a temperature at a rim of the piston based on the heat flux and a thermal model. The controller may be further configured to track a time at the temperature and the pressure, and to determine a damage count of the piston based on the time.

A method of developing a predictive model may include identifying mixing protocol parameters for the predictive model, identifying an evaluation criterion for the predictive model, selecting test values for the mixing protocol parameters, identifying a computational fluid dynamics (CFD) simulation required to be performed in order to generate the evaluation criteria, conducting the CFD simulation for each combination of test values, thereby generating evaluation criteria corresponding to each combination of test values, generating a domain of potential predictive models relating the mixing protocol parameters to the evaluation criterion, identifying a pool of candidate predictive models from the domain of potential predictive models, and ranking the pool of candidate predictive models.

A Multi-Purpose Dynamic Simulation and run-time Control platform includes a virtual process environment coupled to a physical process environment, where components/nodes of the virtual and physical process environments cooperate to dynamically perform run-time process control of an industrial process plant and/or simulations thereof. Virtual components may include virtual run-time nodes and/or simulated nodes. The MPDSC includes an I/O Switch which delivers I/O data between virtual and/or physical nodes, e.g., by using publish/subscribe mechanisms, thereby virtualizing physical I/O process data delivery. Nodes serviced by the I/O Switch may include respective component behavior modules that are unaware as to whether or not they are being utilized on a virtual or physical node. Simulations may be performed in real-time and even in conjunction with run-time operations of the plant, and/or simulations may be manipulated as desired (speed, values, administration, etc.). The platform simultaneously supports simulation and run-time operations and interactions/intersections therebetween.

The speed and security of the monitoring the operation of a drive component is improved by transferring data relating to the drive component and/or to the operation of the drive component to a central IT infrastructure. Within the central IT infrastructure, the transferred data are associated with a first model of the drive component, and with a second model of at least one virtual component associated with the first model. An operating state of the drive component is determined from a correlation of the first and second models.

The provided method allows optimizing the fracturing design (frac design) while taking into account the two-dimensional modelling of the transport processes in the fracture. The generation of the fracturing design in a well comprises the steps of: obtaining data on hydraulic fracturing including the proppant pumping schedule and the fibre pumping schedule for various types of fibres; generating a degradation matrix for the various types of fibres; generating possible options of the hydraulic fracturing operation according to the fibre type and pumping schedule. Moreover, the method of hydraulic fracturing, which comprises generating a schedule of fracturing in a well, preparing a fracturing fluid containing carrier fluid, proppant, additives, and fibres, and pumping the fracturing fluid into the formation through the well following the selected (optimal) option of the fracturing operation, is provided.

An incremental sheet forming system and method are configured to form a structure through an incremental sheet forming process. The incremental sheet forming system and method include a forming control unit that compensates for spring back of a structure to be formed through the incremental sheet forming process.

An environment control system includes: a second storage unit storing a fluid model inside a space; a second communication unit configured to obtain temperature information inside the space and an operation state of an air conditioner provided in the space; an estimation unit configured to estimate a three-dimensional environmental distribution inside the space, based on the fluid model stored in the second storage unit, the obtained fluid parameter information, and the obtained operation state; and a control unit configured to control the air conditioner, based on the estimated three-dimensional environmental distribution.

An environment control system includes: a second storage unit storing a fluid model inside a space; a second communication unit configured to obtain temperature information inside the space and an operation state of an air conditioner provided in the space; an estimation unit configured to estimate a three-dimensional environmental distribution inside the space, based on the fluid model stored in the second storage unit, the obtained fluid parameter information, and the obtained operation state; and a control unit configured to control the air conditioner, based on the estimated three-dimensional environmental distribution.