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=== Modeling Uncertainty in the Earth Sciences === | === Modeling Uncertainty in the Earth Sciences === | ||
[[File:ModelingUncertaintyCover.jpeg | 300px | right]] | [[File:ModelingUncertaintyCover.jpeg | 300px | right]] | ||
''By: Jef Caers, 2011 <br> | ''By: Jef Caers, 2011" <br> | ||
John Wiley & Sons Ltd | John Wiley & Sons Ltd | ||
ISBN 978-119-99262-2 | ISBN 978-119-99262-2 | ||
<br>[http://www.wiley.com/WileyCDA/WileyTitle/productCd-111999263X.html get this book at Wiley] | <br>[http://www.wiley.com/WileyCDA/WileyTitle/productCd-111999263X.html get this book at Wiley] | ||
<br> | |||
This textbook is an accessible introduction of modeling uncertainty for senior undergraduates and professionals working in the Earth Sciences, Environmental Sciences and Energy Resources and Mining. The book promotes conceptual thinking about uncertainty in a 3 dimensional geological world with sparse datasets. Advanced modelers may not find detailed descriptions of the latest new algorithms | This textbook is an accessible introduction of modeling uncertainty for senior undergraduates and professionals working in the Earth Sciences, Environmental Sciences and Energy Resources and Mining. The book promotes conceptual thinking about uncertainty in a 3 dimensional geological world with sparse datasets. Advanced modelers may not find detailed descriptions of the latest new algorithms but instead will be pushed to rethink the underlying principles and main questions geoscientists ask about their models. <br> | ||
The book starts with a relevant problem on modeling and oil spill scenario which set the scene for thinking about uncertainty in earth science modeling and decision making. A basic review of statistics and and data analysis is provided early on in the book, and is followed by a discussion of concepts and definitions in modeling uncertainty. These sections are written with a practical | The book starts with a relevant problem on modeling and oil spill scenario which set the scene for thinking about uncertainty in earth science modeling and decision making. A basic review of statistics and and data analysis is provided early on in the book, and is followed by a discussion of concepts and definitions in modeling uncertainty. These sections are written with a practical | ||
Subsequent chapters introduce principles and methods for decision making, modeling of spatial continuity and variograms, object models, how to constrain spatial uncertainty with direct and indirect (geophysical) measurements, modeling structural uncertainty and model sensitivity analysis. <br> | Subsequent chapters introduce principles and methods for decision making, modeling of spatial continuity and variograms, object models, how to constrain spatial uncertainty with direct and indirect (geophysical) measurements, modeling structural uncertainty and model sensitivity analysis. <br> | ||
Revision as of 11:50, 23 August 2016
Modeling Uncertainty in the Earth Sciences
By: Jef Caers, 2011"
John Wiley & Sons Ltd
ISBN 978-119-99262-2
get this book at Wiley
This textbook is an accessible introduction of modeling uncertainty for senior undergraduates and professionals working in the Earth Sciences, Environmental Sciences and Energy Resources and Mining. The book promotes conceptual thinking about uncertainty in a 3 dimensional geological world with sparse datasets. Advanced modelers may not find detailed descriptions of the latest new algorithms but instead will be pushed to rethink the underlying principles and main questions geoscientists ask about their models.
The book starts with a relevant problem on modeling and oil spill scenario which set the scene for thinking about uncertainty in earth science modeling and decision making. A basic review of statistics and and data analysis is provided early on in the book, and is followed by a discussion of concepts and definitions in modeling uncertainty. These sections are written with a practical
Subsequent chapters introduce principles and methods for decision making, modeling of spatial continuity and variograms, object models, how to constrain spatial uncertainty with direct and indirect (geophysical) measurements, modeling structural uncertainty and model sensitivity analysis.
The author, Jeff Caers, is a Professor of Geological Sciences at Stanford University, California, USA. Prof. Caers’ is a world expert in geostatistics, spatial modeling and modeling uncertainty applied to subsurface characterization for hydrocarbon reservoirs as well as ground water systems. He is intimately familiar with real-world problems and directs the Stanford Center for Reservoir Forecasting, a research program in reservoir modeling and geostatistics with ~20 partners from the Energy Industry. His experience with teaching in an academic setting, and working with professionals shines throughout the book and its case studies. It is particularly evident in the chapters on decision making in face of uncertainty.
I am particularly pleased to see that teaching material associated with the textbook is available for any reader or teacher on GitHub: https://github.com/SCRFpublic/Modeling-uncertainty-in-the-Earth-Sciences Five labs are precisely documented and give hands-on practice with decision making in view of uncertainty, variograms and sensitivity analysis.
