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Approaches to Highly Parameterized Inversion

Approaches to Highly Parameterized Inversion PDF Author: John Doherty
Publisher: CreateSpace
ISBN: 9781500505349
Category :
Languages : en
Pages : 40

Book Description
Pilot points have been used in geophysics and hydrogeology for at least 30 years as a means to bridge the gap between estimating a parameter value in every cell of a model and subdividing models into a small number of homogeneous zones. Pilot points serve as surrogate parameters at which values are estimated in the inverse-modeling process, and their values are interpolated onto the modeling domain in such a way that heterogeneity can be represented at a much lower computational cost than trying to estimate parameters in every cell of a model. Although the use of pilot points is increasingly common, there are few works documenting the mathematical implications of their use and even fewer sources of guidelines for their implementation in hydrogeologic modeling studies. This report describes the mathematics of pilot-point use, provides guidelines for their use in the parameter-estimation software suite (PEST), and outlines several research directions. Two key attributes for pilot-point definitions are highlighted. First, the difference between the information contained in the every-cell parameter field and the surrogate parameter field created using pilot points should be in the realm of parameters which are not informed by the observed data (the null space). Second, the interpolation scheme for projecting pilot-point values onto model cells ideally should be orthogonal. These attributes are informed by the mathematics and have important ramifications for both the guidelines and suggestions for future research.

Approaches to Highly Parameterized Inversion: Pilot Point Theory, Guidelines, and Research Directions

Approaches to Highly Parameterized Inversion: Pilot Point Theory, Guidelines, and Research Directions PDF Author: John E. Doherty
Publisher:
ISBN:
Category : Groundwater
Languages : en
Pages : 36

Book Description


Approaches to Highly Parameterized Inversion

Approaches to Highly Parameterized Inversion PDF Author: John Doherty
Publisher: CreateSpace
ISBN: 9781500505349
Category :
Languages : en
Pages : 40

Book Description
Pilot points have been used in geophysics and hydrogeology for at least 30 years as a means to bridge the gap between estimating a parameter value in every cell of a model and subdividing models into a small number of homogeneous zones. Pilot points serve as surrogate parameters at which values are estimated in the inverse-modeling process, and their values are interpolated onto the modeling domain in such a way that heterogeneity can be represented at a much lower computational cost than trying to estimate parameters in every cell of a model. Although the use of pilot points is increasingly common, there are few works documenting the mathematical implications of their use and even fewer sources of guidelines for their implementation in hydrogeologic modeling studies. This report describes the mathematics of pilot-point use, provides guidelines for their use in the parameter-estimation software suite (PEST), and outlines several research directions. Two key attributes for pilot-point definitions are highlighted. First, the difference between the information contained in the every-cell parameter field and the surrogate parameter field created using pilot points should be in the realm of parameters which are not informed by the observed data (the null space). Second, the interpolation scheme for projecting pilot-point values onto model cells ideally should be orthogonal. These attributes are informed by the mathematics and have important ramifications for both the guidelines and suggestions for future research.

Approaches to Highly Parameterized Inversion

Approaches to Highly Parameterized Inversion PDF Author: John Edward Doherty
Publisher:
ISBN:
Category : Groundwater
Languages : en
Pages : 59

Book Description


Approaches to Highly Parameterized Inversion

Approaches to Highly Parameterized Inversion PDF Author: John E. Doherty
Publisher: CreateSpace
ISBN: 9781500299989
Category : Technology & Engineering
Languages : en
Pages : 78

Book Description
Analysis of the uncertainty associated with parameters used by a numerical model, and with predictions that depend on those parameters, is fundamental to the use of modeling in support of decisionmaking. Unfortunately, predictive uncer- tainty analysis with regard to models can be very computa- tionally demanding, due in part to complex constraints on parameters that arise from expert knowledge of system proper- ties on the one hand (knowledge constraints) and from the necessity for the model parameters to assume values that allow the model to reproduce historical system behavior on the other hand (calibration constraints).

Approaches to Highly Parameterized Inversion

Approaches to Highly Parameterized Inversion PDF Author: John E. Doherty
Publisher:
ISBN:
Category : Groundwater
Languages : en
Pages : 71

Book Description


Approaches in Highly Parameterized Inversion :.

Approaches in Highly Parameterized Inversion :. PDF Author: Marinko Karanovic
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Approaches to Highly Parameterized Inversion

Approaches to Highly Parameterized Inversion PDF Author: Jeremy T. White
Publisher:
ISBN:
Category : Groundwater
Languages : en
Pages : 52

Book Description


Approaches in Highly Parameterized Inversion :.

Approaches in Highly Parameterized Inversion :. PDF Author: Michael N. Fienen
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Approaches in Highly Parameterized Inversion :.

Approaches in Highly Parameterized Inversion :. PDF Author: Stephen M. Westenbroek
Publisher:
ISBN:
Category :
Languages : en
Pages :

Book Description


Approaches in Highly Parameterized Inversion

Approaches in Highly Parameterized Inversion PDF Author: Michael N. Fienen
Publisher: Createspace Independent Publishing Platform
ISBN: 9781500297459
Category : Technology & Engineering
Languages : en
Pages : 94

Book Description
The application bgaPEST is a highly parameterized inversion software package implementing the Bayesian Geostatistical Approach in a framework compatible with the parameter estimation suite PEST. Highly parameterized inversion refers to cases in which parameters are distributed in space or time and are correlated with one another. The Bayesian aspect of bgaPEST is related to Bayesian probability theory in which prior information about parameters is formally revised on the basis of the calibration dataset used for the inversion. Conceptually, this approach formalizes the conditionality of estimated parameters on the specific data and model available.