Data Space Inversion for Efficient Predictions and Uncertainty ...

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

Data space inversion is a simple, robust and efficient technique for making predictions with quantified uncertainty using geothermal reservoir models.

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 for efficient uncertainty quantification using an ...

Data Space Inversion (DSI) provides an alternative (and highly model-run-efficient) method for predictive uncertainty quantification that avoids the need for ...

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

Data space inversion (DSI) is an alternative methodology that allows for the efficient estimation of predictive quantities of interest, with ...

(PDF) Data-Space Inversion for efficient geothermal reservoir model ...

However, these parameters, and their associated uncertainty, are not always of direct interest. Instead, we are often only interested in the predictions ...

(PDF) Data Space Inversion for Efficient Predictions and Uncertainty ...

We first review the processes of model calibration, prediction and uncertainty quantification from a Bayesian perspective, and introduce data space inversion as ...

Efficient optimization under uncertainty using data space inversion

Comments · Journey of Information · Ensemble space inversion · Data space inversion · Covariance matrices · Prof. Uroš Seljak - Scientific discovery ...

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

Forecasts are typically generated by solving a forward flow problem for some number of possible reservoir/geological models. Because geological parameters such ...

HydroGeoSphere Research Highlight - "Data Space Inversion"

Data Space Inversion is a relatively new technique that dramatically facilitates the quantification of prediction uncertainty for decision-support models.

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

It is incumbent on decision-support hydrological modelling to make predictions of uncertain quantities in a decision-support context.

[PDF] Data space inversion for efficient uncertainty quantification ...

Abstract. It is incumbent on decision-support hydrological modelling to make predictions of uncertain quantities in a decision-support context.

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

This is because the imposition of history-matching constraints on model parameters usually requires a large number of model runs. Data space inversion (DSI) ...

Nonlinear uncertainty analysis > Data space inversion - PEST

Data space inversion (DSI) delivers the same outcomes as calibration and predictive uncertainty analysis without having to do either. It is stunningly model- ...

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 ...

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.

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 ...

In some applications, it is the flow predictions themselves (and the uncertainty associated with these predictions), rather than the posterior geological models ...

Data Space Inversion - YouTube

Data Space Inversion: History-Matching, Uncertainty Analysis & Data Worth Assessment for Complex Models DSI is a relatively new technique ...

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

Importantly, the pos- terior forecast can quantify uncertainty of reservoir system without constructing any posterior reservoir model. Up to now, DSI method is ...

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

A data-space inversion (DSI) method has been recently proposed and successfully applied to the history matching and production prediction of ...