Package neqsim.process.calibration

package neqsim.process.calibration

Related Packages

Package	Description
neqsim.process

Classes

Class	Description
BatchParameterEstimator	Batch parameter estimator using Levenberg-Marquardt optimization.
BatchParameterEstimator.DataPoint	Represents a data point with conditions and measurements.
BatchParameterEstimator.MeasuredVariable	Represents a measured variable.
BatchParameterEstimator.TunableParameter	Represents a tunable parameter.
BatchResult	Container for batch parameter estimation results.
CalibrationFrameworkExample	Example demonstrating the new calibration framework for online parameter estimation.
CalibrationQuality	Represents calibration quality metrics for model validation.
CalibrationResult	Represents the result of a calibration operation.
EnKFParameterEstimator	Ensemble Kalman Filter (EnKF) estimator for online calibration of process parameters.
EnKFParameterEstimator.EnKFResult	Result of an EnKF update step.
EnKFParameterEstimator.MeasuredVariableSpec	Specification for a measured variable.
EnKFParameterEstimator.TunableParameterSpec	Specification for a tunable parameter.
EstimationTestHarness	Test harness for validating parameter estimation systems before deployment.
EstimationTestHarness.MeasurementSpec	Measurement specification.
EstimationTestHarness.MonteCarloReport	Monte Carlo validation report.
EstimationTestHarness.ParameterWithTruth	Parameter specification with ground truth.
EstimationTestHarness.TestReport	Test report containing results and metrics.
OnlineCalibrator	Online calibrator for continuously updating model parameters based on real-time data.
OnlineCalibrator.DataPoint	Represents a data point for calibration.
ProcessSimulationFunction	Objective function that bridges process simulation with the Levenberg-Marquardt optimizer.
WellRoutingEstimationExample	Complete example demonstrating multi-well heat transfer coefficient estimation using the EnKFParameterEstimator with dynamic routing for improved observability.