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Efficient optimization under uncertainty using data space inversion


Efficient optimization under uncertainty using data space inversion

This video discusses an emerging methodology that combines a number of technologies, these including optimization, data space inversion, ...

Data space inversion for efficient uncertainty quantification using an ...

Data space inversion (DSI) provides a highly model-run-efficient method for predictive uncertainty quantification. It does this by evaluating ...

Data space inversion - YouTube

Data space inversion. 314 views · 7 months ago BRISBANE ...more ... Efficient optimization under uncertainty using data space inversion.

A New Data-Space Inversion Procedure for Efficient Uncertainty ...

Abstract Uncertainty quantification for subsurface flow problems is typically accom- plished through model-based inversion procedures in which multiple ...

Data Space Inversion for Efficient Predictions and Uncertainty ... - arXiv

Our results support the idea that data space inversion is a simple, robust and efficient technique for making predictions with quantified ...

(PDF) Data space inversion for efficient uncertainty quantification ...

In implementing decision-support modelling, data assimilation and uncertainty quantification are often the most difficult and time-consuming ...

Data space inversion for efficient uncertainty quantification using an ...

Data space inversion for efficient uncertainty quantification using an integrated surface and sub-surface hydrologic model

A New Data-Space Inversion Procedure for Efficient Uncertainty ...

A New Data-Space Inversion Procedure for Efficient Uncertainty Quantification in Subsurface Flow Problems · Related Topics · More Publications · TOPOLOGY ...

(PDF) Data space inversion for efficient uncertainty quantification ...

This is because the imposition of history-matching constraints on model parameters usually requires a large number of model runs. Data Space ...

Ensemble space inversion - YouTube

Comments2 · Efficient optimization under uncertainty using data space inversion · Data space inversion · CompTIA Network+ Certification Video ...

A data-space inversion procedure for well control optimization and ...

Data-space inversion (DSI) methods provide posterior (history-matched) predictions for quantities of interest, along with uncertainty ...

HydroGeoSphere Research Highlight - "Data Space Inversion"

PART 2: DATA SPACE INVERSION FOR EFFICIENT UNCERTAINTY QUANTIFICATION WITH INTEGRATED SURFACE AND SUBSURFACE HYDROLOGIC MODELS ... Abstract: Hydrological models ...

Deep-learning-generalized data-space inversion and uncertainty ...

The linear-type data-space inversion approaches are generalized to non-linear model applications through deep-learning.

A New Data-Space Inversion Procedure for Efficient Uncertainty ...

Uncertainty quantification for subsurface flow problems is typically accomplished through model-based inversion procedures in which multiple posterior ...

Reservoir closed-loop optimization method based on connection ...

This provides an effective solution to overcome limitations in simulating and managing uncertainty for large-scale reservoirs. The proposed ...

Journey of Information - YouTube

Efficient optimization under uncertainty using data space inversion. GMDSI•208 views · 54:37 · Go to channel. History-matching and uncertainty analysis ...

An improved data space inversion method to predict reservoir state ...

Besides, this method is also tested in a real field and the obtained results show the high computational efficiency and high accuracy of the ...

Data-Space Inversion With a Recurrent Autoencoder for Naturally ...

Data-space inversion (DSI) is a data assimilation procedure that directly generates posterior flow predictions, for time series of interest, ...

Accelerating Ensemble-Based Well Control Optimization with ES ...

Recent developments in direct forecasting techniques such as data-space inversion (DSI) have shown promising results to alleviate the ...

An improved data space inversion method to predict reservoir state ...

predictions using a stochastic optimization ... A new data-space inversion procedure for efficient uncertainty quantification in subsurface flow problems.