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The Double Constraint Inversion Methodology

Equations and Applications in Forward and Inverse Modeling of Groundwater Flow

Paperback Engels 2018 9783319713410
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​This book describes a novel physics-based approach to inverse modeling that makes use of the properties of the equations governing the physics of the processes under consideration. It focuses on the inverse problems occurring in hydrogeology, but the approach is also applicable to similar inverse problems in various other fields, such as petroleum-reservoir engineering, geophysical and medical imaging, weather forecasting, and flood prediction. This approach takes into consideration the physics – for instance, the boundary conditions required to obtain a well-posed mathematical problem – to help avoid errors in model building and therefore enhance the reliability of the results. In addition, this method requires less computation time and less computer memory.

 The theory is presented in a comprehensive, not overly mathematical, way, with three practice-oriented hydrogeological case studies and a comparison with the conventional approach illustrating the power of the method.

Forward and Inverse Modeling of Groundwater Flow is of use to researchers and graduate students in the fields of hydrology, as well as to professional hydrologists within industry. It also appeals to geophysicists and those working in or studying petroleum reservoir modeling and basin modeling.

Specificaties

ISBN13:9783319713410
Taal:Engels
Bindwijze:paperback
Uitgever:Springer International Publishing

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Inhoudsopgave

Introduction.-&nbsp;Foundations of Forward and Inverse Groundwater Flow Models.-&nbsp;The Pointwise Double Constraint Method.-&nbsp;Time Dependency.-&nbsp;Case Study Kleine Nete: Pointwise DCM with Bounded Anisotropy.-&nbsp;Case Study Schietveld: Pointwise DCM with Fixed Anisotropy.-&nbsp;The Zone Integrated Double Constraint Method.- Case Study Schietveld: Zone-Integrated DCM Compared with Gradient Method.-&nbsp;Summary and Conclusions.<p></p>

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        The Double Constraint Inversion Methodology