Probability in Petroleum and Environmental Engineering

Author： Chilingar   George V;Khilyuk   Leonid F.;Reike   Herman H.  

Publisher： Elsevier Science‎

Publication year： 2012

E-ISBN: 9780127999708

P-ISBN(Paperback): 9780976511304

P-ISBN(Hardback):  9780976511304

Subject： O211 probability (probability theory, probability theory);TE Oil and Gas Industry;X Environmental Science, Safety Science

Language： ENG

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Description

Written by three of the world’s most renowned petroleum and environmental engineers, Probability in Petroleum
and Environmental Engineering is the first book to offer the practicing engineer and engineering student new
cutting-edge techniques for prediction and forecasting in petroleum engineering and environmental management.
The authors combine a rigorous, yet easy-to-understand, approach to probability and how it is applied to
petroleum and environmental engineering to solve multiple problems that engineers or geologists face every day.

Chapter

Front Cover

pp.：  1 – 4

Probability in Petroleum and Environmental Engineering

pp.：  4 – 5

Copyright Page

pp.：  5 – 8

Dedication

pp.：  6 – 14

Table of Contents

pp.：  8 – 6

PREFACE

pp.：  14 – 16

LIST OF NOTATIONS

pp.：  16 – 18

CHAPTER 1. INTRODUCTION

pp.：  18 – 26

CHAPTER 2. EXPERIMENTS AND EVENTS

pp.：  26 – 42

CHAPTER 3. SPACE OF ELEMENTARY EVENTS

pp.：  42 – 58

CHAPTER 4. PROBABILITY OF RANDOM EVENTS

pp.：  58 – 78

CHAPTER 5. CONDITIONAL PROBABILITY AND STOCHASTIC INDEPENDENCE

pp.：  78 – 92

CHAPTER 6. BERNOULLI DISTRIBUTION AND SEQUENCES OF INDEPENDENT TRIALS

pp.：  92 – 106

CHAPTER 7. RANDOM VARIABLES AND DISTRIBUTION FUNCTIONS

pp.：  106 – 128

CHAPTER 8. NUMERICAL CHARACTERISTICS OF RANDOM VARIABLES

pp.：  128 – 146

CHAPTER 9. NUMERICAL CHARACTERISTICS OF RANDOM VARIABLES

pp.：  146 – 162

CHAPTER 10. PROBABILITY DISTRIBUTIONS

pp.：  162 – 180

CHAPTER 11. PROBABILITY DISTRIBUTIONS

pp.：  180 – 208

CHAPTER 12. LIMIT THEOREMS OF THE PROBABILITY THEORY

pp.：  208 – 224

CHAPTER 13. PROBABILISTIC DECISION MAKING

pp.：  224 – 252

APPENDIX 1: PRINCIPLES OF SET THEORY

pp.：  252 – 262

APPENDIX 2: METHODS OF COUNTING

pp.：  262 – 266

APPENDIX 3: STATISTICAL COMPARISON OF AN ORIGINAL DATA SET WITH ITS SUBSET IN OIL SPILL STUDIES

pp.：  266 – 278

APPENDIX 4: STANDARD NORMAL DISTRIBUTION FUNCTION

pp.：  278 – 280

REFERENCES

pp.：  280 – 286

AUTHOR INDEX

pp.：  286 – 288

SUBJECT INDEX

pp.：  288 – 293

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