Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification.
Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. The book will also be useful for professionals dealing with subsurface flow problems in hydrogeology, geologic carbon sequestration, and nuclear waste disposal.
1. Cover image - p. cover 2. Title page - p. cover 3. Table of Contents - p. cover 4. Copyright - p. iv 5. Dedication - p. v 6. Preface - p. ix 7. Acknowledgments - p. xi 8. Chapter 1: Basic Concepts - p. xi 9. Chapter 2: Exploratory Data Analysis - p. 13 10. Chapter 3: Distributions and Models Thereof - p. 29 11. Chapter 4: Regression Modeling and Analysis - p. 67 12. Chapter 5: Multivariate Data Analysis - p. 96 13. Chapter 6: Uncertainty Quantification - p. 118 14. Chapter 7: Experimental Design and Response Surface Analysis - p. 167 15. Chapter 8: Data-Driven Modeling - p. 193 16. Chapter 9: Concluding Remarks - p. 224 17. Index - p. 233
Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification.
Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. The book will also be useful for professionals dealing with subsurface flow problems in hydrogeology, geologic carbon sequestration, and nuclear waste disposal.
1. Cover image - p. cover 2. Title page - p. cover 3. Table of Contents - p. cover 4. Copyright - p. iv 5. Dedication - p. v 6. Preface - p. ix 7. Acknowledgments - p. xi 8. Chapter 1: Basic Concepts - p. xi 9. Chapter 2: Exploratory Data Analysis - p. 13 10. Chapter 3: Distributions and Models Thereof - p. 29 11. Chapter 4: Regression Modeling and Analysis - p. 67 12. Chapter 5: Multivariate Data Analysis - p. 96 13. Chapter 6: Uncertainty Quantification - p. 118 14. Chapter 7: Experimental Design and Response Surface Analysis - p. 167 15. Chapter 8: Data-Driven Modeling - p. 193 16. Chapter 9: Concluding Remarks - p. 224 17. Index - p. 233
