@string{j-WRR = {Water Resources Research}} @string{j-MG = {Mathematical Geology}} @string{j-JGR = {Journal of Geophysical Research}} @BOOK{fletcher:87, author = "Roger Fletcher", title = "Practical Methods of Optimization", publisher = "John Wiley {\&} Sons", address = "New York", year = 1987 } @INPROCEEDINGS{floris:96, author = "Frans Floris", title = "Direct Conditioning of {Gaussian} Random Fields to Dynamic Production Data", booktitle = "Proceedings of the 5th European Conference on the Mathematics of Oil Recovery", year = "1996", pages = "253--257", abstract = "Uses the ``master point'' method. Adds a Bayesian term to the objective for minimization." } @ARTICLE{gavalas:76, author = "G. R. Gavalas and P. C. Shah and John H. Seinfeld", journal = "Soc. Petrol. Eng. J.", title = "Reservoir history matching by {Bayesian} Estimation", year = "1976", pages = "337--350", volume = "16", number = "6", abstract = "In this paper, Bayesian estimation theory is applied to history matching as an alternative to zonation. By using a priori statistical information on the unknown parameters, the problem becomes better determined. Bayesian estimation and zonation are applied to the problem of porosity and permeability estimation in a one-dimensional, one-phase reservoir. Proposes a reduction of the number of parameters by using eigenvectors of the model covariance to define the new basis." } @BOOK{tarantola:87, title = "Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation", author = "Albert Tarantola", publisher = "Elsevier", address = "Amsterdam, The Netherlands", year = 1987 } @ARTICLE{yeh:86, title = "Review of Parameter Identification in Groundwater Hydrology: {T}he Inverse Problem", author = "William W-G. Yeh", journal = j-WRR, volume = 22, number = 2, pages = "95--108", year = 1986 }