This book is a guide to the use of inverse theory for estimation
and conditional simulation of flow and transport parameters in
porous media. It describes the theory and practice of estimating
properties of underground petroleum reservoirs from measurements of
flow in wells, and it explains how to characterize the uncertainty
in such estimates. Early chapters present the reader with the
necessary background in inverse theory, probability and spatial
statistics. The book demonstrates how to calculate sensitivity
coefficients and the linearized relationship between models and
production data. It also shows how to develop iterative methods for
generating estimates and conditional realizations. The text is
written for researchers and graduates in petroleum engineering and
groundwater hydrology and can be used as a textbook for advanced
courses on inverse theory in petroleum engineering. It includes
many worked examples to demonstrate the methodologies and a
selection of exercises.
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