Cover for Applied Statistical Modeling and Data Analytics

Applied Statistical Modeling and Data Analytics

A Practical Guide for the Petroleum Geosciences

Book2018

Authors:

Srikanta Mishra and Akhil Datta-Gupta

Applied Statistical Modeling and Data Analytics

A Practical Guide for the Petroleum Geosciences

Book2018

 

Cover for Applied Statistical Modeling and Data Analytics

Authors:

Srikanta Mishra and Akhil Datta-Gupta

Browse this book

Book description

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 techniqu ... read full description

Browse content

Table of contents

Actions for selected chapters

Select all / Deselect all

  1. Full text access
  2. Book chapterAbstract only

    Chapter 1 - Basic Concepts

    Pages 1-13

  3. Book chapterAbstract only

    Chapter 2 - Exploratory Data Analysis

    Pages 15-29

  4. Book chapterAbstract only

    Chapter 3 - Distributions and Models Thereof

    Pages 31-67

  5. Book chapterAbstract only

    Chapter 4 - Regression Modeling and Analysis

    Pages 69-96

  6. Book chapterAbstract only

    Chapter 5 - Multivariate Data Analysis

    Pages 97-118

  7. Book chapterAbstract only

    Chapter 6 - Uncertainty Quantification

    Pages 119-167

  8. Book chapterAbstract only

    Chapter 7 - Experimental Design and Response Surface Analysis

    Pages 169-193

  9. Book chapterAbstract only

    Chapter 8 - Data-Driven Modeling

    Pages 195-224

  10. Book chapterAbstract only

    Chapter 9 - Concluding Remarks

    Pages 225-231

  11. Book chapterNo access

    Index

    Pages 233-237

About the book

Description

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.

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.

Key Features

  • Authored by internationally renowned experts in developing and applying statistical methods for oil & gas and other subsurface problem domains
  • Written by practitioners for practitioners
  • Presents an easy to follow narrative which progresses from simple concepts to more challenging ones
  • Includes online resources with software applications and practical examples for the most relevant and popular statistical methods, using data sets from the petroleum geosciences
  • Addresses the theory and practice of statistical modeling and data analytics from the perspective of petroleum geoscience applications
  • Authored by internationally renowned experts in developing and applying statistical methods for oil & gas and other subsurface problem domains
  • Written by practitioners for practitioners
  • Presents an easy to follow narrative which progresses from simple concepts to more challenging ones
  • Includes online resources with software applications and practical examples for the most relevant and popular statistical methods, using data sets from the petroleum geosciences
  • Addresses the theory and practice of statistical modeling and data analytics from the perspective of petroleum geoscience applications

Details

ISBN

978-0-12-803279-4

Language

English

Published

2018

Copyright

Copyright © 2018 Elsevier Inc. All rights reserved.

Imprint

Elsevier

You currently don’t have access to this book, however you can purchase separate chapters directly from the table of contents or buy the full version.

Purchase the book

Authors

Srikanta Mishra

Battelle Memorial Institute, Columbus, Ohio, USA

Akhil Datta-Gupta

Texas A&M University, College Station, Texas, USA