The unknown is the position-dependent storage coefficient s[.] which appears in a linear, partial differential equation of parabolic type with respect to hydraulic potential p[..,.] and multiplies the time derivative of p[.,.]. The spatial derivatives of p.,.] appear in the form div ( a grad p ), where the position-dependent conductivity a[.] is known. The identification of s[.] from knowledge of the measured hydraulic potential z[.,.] relies on the minimisation of the output error functional. The minimisation algorithm is derived from the variational formulation of the inverse problem [J. L. Lions, 1968; G. Chavent, 1971]. A discrete gradient algorithm and the corresponding computer code are described. A stopping ctiterion based on data noise ``energy'' is defined. Numerical and graphical results obtained from (computationally) exact and noisy data are presented. The methods and results apply to the modeling of aquifers and of petroleum reservoirs.

Crosta, G. (1985). On the identification of a spatially varying coefficient appearing in a parabolic partial differential equation. In F. Kappel, K. Kunisch, W. Schappacher (a cura di), Distributed parameter systems (pp. 92-108). Berlin : Springer Verlag [10.1007/BFb0005646].

On the identification of a spatially varying coefficient appearing in a parabolic partial differential equation

Crosta, GFF
1985

Abstract

The unknown is the position-dependent storage coefficient s[.] which appears in a linear, partial differential equation of parabolic type with respect to hydraulic potential p[..,.] and multiplies the time derivative of p[.,.]. The spatial derivatives of p.,.] appear in the form div ( a grad p ), where the position-dependent conductivity a[.] is known. The identification of s[.] from knowledge of the measured hydraulic potential z[.,.] relies on the minimisation of the output error functional. The minimisation algorithm is derived from the variational formulation of the inverse problem [J. L. Lions, 1968; G. Chavent, 1971]. A discrete gradient algorithm and the corresponding computer code are described. A stopping ctiterion based on data noise ``energy'' is defined. Numerical and graphical results obtained from (computationally) exact and noisy data are presented. The methods and results apply to the modeling of aquifers and of petroleum reservoirs.
Capitolo o saggio
inverse problems; storage coefficient; parabolic partial differential equation; output error; optimal control; variational formulation; functional gradient; discrete gradient; minimisation; stopping criteria; numerical results; noise figure;
English
Distributed parameter systems
Kappel, F; Kunisch, K; Schappacher, W
1985
978-3-540-15872-1
75
Springer Verlag
92
108
Crosta, G. (1985). On the identification of a spatially varying coefficient appearing in a parabolic partial differential equation. In F. Kappel, K. Kunisch, W. Schappacher (a cura di), Distributed parameter systems (pp. 92-108). Berlin : Springer Verlag [10.1007/BFb0005646].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/93808
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