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The worth of transmissivity and head data in the prediction of well capture zones

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

The worth of transmissivity and head data in the prediction of well capture zones. / Feyen, L.; Ribeiro, P. J.; Gómez-Hernández, J. J. et al.
In: Acta Universitatis Carolinae, Geologica, Vol. 46, No. 2-3, 12.2002, p. 477-480.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Feyen, L, Ribeiro, PJ, Gómez-Hernández, JJ, Beven, K & De Smedt, F 2002, 'The worth of transmissivity and head data in the prediction of well capture zones', Acta Universitatis Carolinae, Geologica, vol. 46, no. 2-3, pp. 477-480.

APA

Feyen, L., Ribeiro, P. J., Gómez-Hernández, J. J., Beven, K., & De Smedt, F. (2002). The worth of transmissivity and head data in the prediction of well capture zones. Acta Universitatis Carolinae, Geologica, 46(2-3), 477-480.

Vancouver

Feyen L, Ribeiro PJ, Gómez-Hernández JJ, Beven K, De Smedt F. The worth of transmissivity and head data in the prediction of well capture zones. Acta Universitatis Carolinae, Geologica. 2002 Dec;46(2-3):477-480.

Author

Feyen, L. ; Ribeiro, P. J. ; Gómez-Hernández, J. J. et al. / The worth of transmissivity and head data in the prediction of well capture zones. In: Acta Universitatis Carolinae, Geologica. 2002 ; Vol. 46, No. 2-3. pp. 477-480.

Bibtex

@article{63ee2f46d1b84104b0f923f384a61441,
title = "The worth of transmissivity and head data in the prediction of well capture zones",
abstract = "We present a stochastic approach to characterize the uncertainty in the delineation of well capture zones. Hereby, we account for both the uncertainty that stems from the natural variability of the transmissivity field and the uncertainty inherent in estimating the parameters of the stochastic model of the transmissivity field. We show how transmissivity measurements and hydraulic head observations are incorporated in a Bayesian framework to obtain posterior probabilities for individual realisations of the transmissivity field. In prediction, the realisations are weighted by their respective posterior probabilities, yielding the predictive capture zone distribution. We apply the method to a hypothetical flow system and compare the worth of transmissivity measurements and head observations by incorporating the different data types into the estimation procedure sequentially.",
author = "L. Feyen and Ribeiro, {P. J.} and G{\'o}mez-Hern{\'a}ndez, {J. J.} and K. Beven and {De Smedt}, F.",
year = "2002",
month = dec,
language = "English",
volume = "46",
pages = "477--480",
journal = "Acta Universitatis Carolinae, Geologica",
issn = "0001-7132",
publisher = "Univerzita Karlova",
number = "2-3",

}

RIS

TY - JOUR

T1 - The worth of transmissivity and head data in the prediction of well capture zones

AU - Feyen, L.

AU - Ribeiro, P. J.

AU - Gómez-Hernández, J. J.

AU - Beven, K.

AU - De Smedt, F.

PY - 2002/12

Y1 - 2002/12

N2 - We present a stochastic approach to characterize the uncertainty in the delineation of well capture zones. Hereby, we account for both the uncertainty that stems from the natural variability of the transmissivity field and the uncertainty inherent in estimating the parameters of the stochastic model of the transmissivity field. We show how transmissivity measurements and hydraulic head observations are incorporated in a Bayesian framework to obtain posterior probabilities for individual realisations of the transmissivity field. In prediction, the realisations are weighted by their respective posterior probabilities, yielding the predictive capture zone distribution. We apply the method to a hypothetical flow system and compare the worth of transmissivity measurements and head observations by incorporating the different data types into the estimation procedure sequentially.

AB - We present a stochastic approach to characterize the uncertainty in the delineation of well capture zones. Hereby, we account for both the uncertainty that stems from the natural variability of the transmissivity field and the uncertainty inherent in estimating the parameters of the stochastic model of the transmissivity field. We show how transmissivity measurements and hydraulic head observations are incorporated in a Bayesian framework to obtain posterior probabilities for individual realisations of the transmissivity field. In prediction, the realisations are weighted by their respective posterior probabilities, yielding the predictive capture zone distribution. We apply the method to a hypothetical flow system and compare the worth of transmissivity measurements and head observations by incorporating the different data types into the estimation procedure sequentially.

M3 - Journal article

AN - SCOPUS:12444338478

VL - 46

SP - 477

EP - 480

JO - Acta Universitatis Carolinae, Geologica

JF - Acta Universitatis Carolinae, Geologica

SN - 0001-7132

IS - 2-3

ER -