ABSTRACT
The aim of this chapter is to compare and present available surrogate-based methods suitable for the assimilation of measurement data of some model response in order to characterize the model’s input parameters or input fields. The comparison is done through a worked-out example of assimilating seabed subsidence data for the compressibility field identification of a reservoir. Throughout the example we provide a general framework for any engineering problem where we wish to identify input parameters or fields—and by that to reduce the uncertainties of the predicted response—by assimilating observations of the output of the model. We here provide algorithms of the compared methods and link the examples to on-line accessible MATLAB® codes (see https://ezander.github.io/ParameterAndFieldIdentification/).
