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Quantifying Uncertainty in Subsurface Systems : Geophysical Monograph Series - Céline Scheidt

Quantifying Uncertainty in Subsurface Systems

Geophysical Monograph Series

Hardcover

Published: 19th June 2018
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The integration of subsurface systems involves weighing the enormous uncertainties of harnessing the Earth's geological resources with high costs and considerable risks. Such valuation involves assessing discordant factors to produce a decision model that is functional and sustainable. Quantifying Uncertainty in Subsurface Systems will provide a multi-disciplinary treatment of uncertainty quantification towards practical engineering applications and decision making.

Volume highlights include:

  • Five substantial case studies on decision making under uncertainty for subsurface systems
  • Forecasting total volume and future revenue stream in giant oilfields
  • Designing heat pumps for heating buildings in shallow geothermal systems
  • Optimizing data acquisition for uranium contaminated sites
  • Managing aquifer recharge in the groundwater system
  • Characterizing the risk of misclassification of mining blocks in function of drill-hole quality and spacing

Quantifying Uncertainty in Subsurface Systems is a multidisciplinary volume that brings together five major fields of science to tackle real-world problems covering information science, decision science, geosciences, data science and computer science. The volume presents actual field cases with actual data that will appeal to methodology developers e.g. doctoral students, as well as practitioners e.g. industry professionals, and will also be a valuable resource for geoscientists, engineers and applied mathematicians.

Chapter 1: The Geological Resources Challenge 1.1 When challenges bring opportunities 1.2 Production planning and development for an oil field in Libya 1.3 Decision making under uncertainty for groundwater management in Denmark 1.4 Monitoring shallow geothermal systems in Belgium 1.5 Designing strategies for uranium remediation in the USA 1.6 Developing shale plays in North America 1.7 Synthesis: Data-Model-Prediction-Decision 1.8 References Chapter 2: Decision making under uncertainty 2.1 Introduction 2.2 Introductory example: the thumbtack game 2.3 Challenges in the decision-making process 2.4 Decision analysis as a science 2.5 Graphical tools 2.6 Value of information 2.7 References Chapter 3: Data Science for Geoscience 3.1 Introductory example 3.2 Basic Algebra 3.3 Basics of univariate & multi-variate probability theory & statistics 3.4 Decomposition of data 3.5 Orthogonal component analysis 3.6 Functional data analysis 3.7 Regression and Classification 3.8 Kernel methods 3.9 Cluster analysis 3.10 Monte Carlo & quasi Monte Carlo 3.11 Sequential Monte Carlo 3.12 Markov chain Monte Carlo 3.13 The bootstrap 3.14 References Chapter 4: Sensitivity Analysis 4.1 Introduction 4.2 Notation and application example 4.3 Screening techniques 4.4 Global SA methods 4.5 Quantifying impact of stochasticity in models 4.6 Summary 4.7 References Chapter 5: Bayesianism 5.1 Introduction 5.2 A historical perspective 5.3 Science as knowledge derived from facts, data or experience 5.4 The role of experiments data 5.5 Induction vs deduction 5.6 Falsificationism 5.7 Paradigms 5.8 Bayesianism 5.9 Bayesianism in geological sciences 5.10 References Chapter 6: Geological priors & inversion 6.1 Introduction 6.2 The general discrete inverse problem 6.3 Prior model parameterization 6.4 Deterministic inversion 6.5 Bayesian inversion with geological priors 6.6 Geological priors in geophysical inversion 6.7 Geological priors in ensemble filtering methods 6.8 References Chapter 7: Bayesian Evidential Learning 7.1 The prediction problem revisited 7.2 Components of statistical learning 7.3 Bayesian Evidential Learning in Practice 7.4 References Chapter 8: Quantifying uncertainty in subsurface systems 8.1 Introduction 8.2 Production planning and development for an oil field in Libya 8.3 Decision making under uncertainty for groundwater management in Denmark 8.4 Monitoring shallow geothermal systems in Belgium 8.5 Designing uranium contaminant remediation in the USA 8.6 Developing shale plays in North America 8.7 References Chapter 9: Software & Implementation 9.1 Introduction 9.2 Model Generation 9.3 Forward Simulation 9.4 Post-Processing 9.5 References Chapter 10: Outlook 10.1 Introduction 10.2 Seven questions

ISBN: 9781119325833
ISBN-10: 1119325838
Series: Geophysical Monograph Series
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 304
Published: 19th June 2018
Publisher: John Wiley & Sons Inc
Country of Publication: US
Dimensions (cm): 28.7 x 22.0  x 2.0
Weight (kg): 1.15