Value of Information in the Earth Sciences : Integrating Spatial Modeling and Decision Analysis
Jo. Eidsvik
Bok Engelsk 2015 · Electronic books.
| Annen tittel | |
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| Medvirkende | |
| Utgitt | Cambridge : Cambridge University Press , 2015
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| Omfang | 1 online resource (402 p.)
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| Opplysninger | Description based upon print version of record.. - Cover; Half-title; Title page; Copyright information; Table of contents; Preface; Acknowledgments; 1 Introduction; 1.1 What is the value of information?; 1.2 Motivating examples from the Earth sciences; 1.3 Contributions of this book; 1.4 Organization; 1.5 Intended audience and prerequisites; 1.6 Bibliographic notes; 2 Statistical models and methods; 2.1 Uncertainty quantification, information gathering, and data examples; 2.2 Notation and probability models; 2.2.1 Univariate probability distributions; 2.2.2 Multivariate probability distributions. - 2.3 Conditional probability, graphical models, and Bayes' rule2.3.1 Conditional probability; 2.3.2 Graphical models; 2.3.3 Bayesian updating from data; 2.3.4 Examples; Treasure Island: The pirate example; Gotta get myself connected: Bayesian network example; Never break the chain: Markov chain example; For whom the bell tolls: Gaussian projects example; 2.4 Inference of model parameters; 2.4.1 Maximum likelihood estimation; 2.4.2 Examples; I love rock and ore: mining oxide grade example; Never break the chain: Markov chain example; 2.5 Monte Carlo methods and other approximation techniques. - 2.5.1 Analysis by simulation2.5.2 Solving integrals; 2.5.3 Sampling methods; 2.5.4 Example; Risky business: petroleum prospect risking example; 2.6 Bibliographic notes; Models; Estimation and sampling; 3 Decision analysis; 3.1 Background; 3.2 Decision situations: terminology and notation; 3.2.1 Decisions, uncertainties, and values; 3.2.2 Utilities and certain equivalent; 3.2.3 Maximizing expected utility; 3.2.4 Examples; Treasure island: the pirate example; For whom the bell tolls: Gaussian projects example; 3.3 Graphical models; 3.3.1 Decision trees; 3.3.2 Influence diagrams; 3.3.3 Examples. - For whom the bell tolls: Gaussian projects exampleMacKenna's gold: oil and gold example; Time after time: time-lapse seismic example; Value from 4-D seismic monitoring; Influence diagrams for 4-D seismic monitoring; Observable property nodes; Reservoir property nodes; Seismic property nodes; 3.4 Value of information; 3.4.1 Definition; 3.4.2 Perfect versus imperfect information; 3.4.3 Relevant, material, and economic information; 3.4.4 Examples; Treasure island: the pirate example; For whom the bell tolls: Gaussian projects example; 3.5 Bibliographic notes; Decision analysis fundamentals. - Graphical modelsVOI fundamentals; VOI for canonical problems; Computational issues and application reviews; 4 Spatial modeling; 4.1 Goals of stochastic modeling of spatial processes; 4.2 Random fields, variograms, and covariance; 4.3 Prediction and simulation; 4.3.1 Spatial prediction and Kriging; 4.3.2 Common geostatistical stochastic simulation methods; 4.4 Gaussian models; 4.4.1 The spatial regression model; 4.4.2 Optimal spatial prediction: Kriging; 4.4.3 Multivariate hierarchical spatial regression model; 4.4.4 Examples; Norwegian wood: forestry example. - I love rock and ore: mining oxide grade example. - Presents a unified framework for assessing the value of potential data gathering schemes, with a focus on the Earth sciences.
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| Emner | |
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| Dewey | 550.01/156 . - 550.113
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| ISBN | 9781107040267
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Value of information in the earth sciences : integrating spatial modeling and decision analysis
Jo Eidsvik, Tapan Mukerji, and Debarun Bh...
Bok · Engelsk · 2015
Jo Eidsvik, Tapan Mukerji, and Debarun Bh...
Bok · Engelsk · 2015
