Statistical Methods for Estimating Petroleum Resources.

By: Lee, P. JContributor(s): DeGraffenreid, Jo AnneSeries: International Association for Mathematical Geology Studies in Mathematical Geology SerPublisher: Cary : Oxford University Press USA - OSO, 2008Copyright date: ©2008Description: 1 online resource (257 pages)Content type: text Media type: computer Carrier type: online resourceISBN: 9780199715800Subject(s): Petroleum -- Statistics.;Petroleum reserves -- Statistics.;Petroleum industry and trade -- StatisticsGenre/Form: Electronic books. Additional physical formats: Print version:: Statistical Methods for Estimating Petroleum ResourcesDDC classification: 333.8/23015195 LOC classification: TN871.L374 2008Online resources: Click to View
Contents:
Intro -- Contents -- Foreword to the Series -- Foreword -- 1 Introduction -- Background -- Objectives -- An Outline of the Evaluation Procedure -- Scope -- 2 Evaluation Models -- Geological Models and Play Definitions -- Statistical Models -- Concepts Used -- The Nature of Geological Populations -- The Beaverhill Lake Play -- Outliers -- Correlation between Random Variables -- Mixed Populations -- 3 Estimating Mature Plays -- The Superpopulation Model -- Lognormal Discovery Process Model -- Nonparametric Discovery Process Model -- Estimating Pool-Size Distribution for the Beaverhill Lake Play -- Lognormal/Nonparametric-Poisson Discovery Process Model -- Multivariate Discovery Process Model -- Remarks -- Pool-Size-by-Rank by Order Statistics -- Interpretations -- The Matching Process: Operation -- The Beaverhill Lake Play -- Pool Sizes Conditional on Pool Rank -- Distribution of the Ratio of Two Pools -- Play Resource and Potential Distribution -- Play Resource Distribution -- Play Potential Distribution -- 4 More about Discovery Process Models -- Validation Study by Simulation -- Validation Procedure -- Estimates for the N Value -- Estimation of Exploration Efficiency -- Pool-Size-by-Rank -- Play Resource Distribution -- Reduction of Uncertainty -- Validation by Retrospective Study -- Jumping Pound Rundle Gas Play -- Swan Hills Shelf Margin Gas and Leduc Isolated Reef Oil Plays -- Remarks -- Impact of Nonproductive and Noncommercial Pools -- Impact of a Nonproductive Trap -- Impact of Missing Pools -- Testing the Adequacy of Probability Distributions -- The Procedure -- Interpretation -- The Beaverhill Lake Play -- Plays from Worldwide Basins -- Pool-Size Distribution of a Basin -- Justifications for Using a Lognormal Distribution -- Evidence from the Q-Q Plots -- Approximation of a Lognormal Distribution to Geological Random Variables.
Advantages of Using a Lognormal Distribution -- Estimation Error Resulting from Lognormal Distribution Approximation -- 5 Evaluating Conceptual Plays -- Geological Factors -- Exploration Risk -- Methods for Estimating Marginal Probability -- Dependence in Prospect-Level Geological Factors -- The East Coast Play -- Pool-Size Distribution -- The Monte Carlo Method -- The Lognormal Approximation -- Examples -- Estimating Resources -- Number-of-Prospects Distribution -- Number-of-Pools Distribution -- Play Resource Distribution -- Pool-Size-by-Rank -- Generation of Reservoir Parameters -- Constructing Probability Distributions -- 6 Estimation Update and Feedback Procedures -- Procedure for Estimating Mature Plays -- Step 1: Formulating a Play Definition and Its Geographic Boundary -- Step 2: Compiling Play Data -- Step 3: Validating Mixed Populations or Lognormal Assumptions -- Step 4: Estimating Pool-Size Distribution -- Step 5: Determining an Appropriate Probability Distribution -- Step 6: Estimating Pool-Size-by-Rank -- Step 7: Estimating Expected and Probable Play Potential -- Step 8: Computing Play Resource Distribution -- Procedure for Estimating Conceptual Plays -- Conceptual Plays from a Mature Basin -- Conceptual Plays from a Frontier Basin -- Update Procedure -- Feedback Procedure -- Can We Predict the Current Situation? -- Has the Largest Pool Been Discovered? -- Pool Size Conditional on Play Resource -- 7 Other Assessment Methods-An Overview -- Geological Approach -- Volumetric Yield by Analogous Basin Method -- Basin Classification Method -- Geochemical Approaches -- Petroleum System or Geochemical Mass Balance Method -- Burial and Thermal History Modeling -- Statistical Approaches -- Finite Population Methods -- Superpopulation Methods -- The Regression Method -- The Fractal Method -- 8 Concluding Remarks.
Appendix A: Estimation of Superpopulation Parameters from a Successively Sampled Finite Population -- The Likelihood Function -- Maximum-Likelihood Estimation -- Inference for θ and N -- Inference for the Weight Function -- Appendix B: Nonparametric Procedure for Estimating Distributions -- Appendix C: The Largest Pool Size and Its Distribution -- The rth Largest Pool-Size Distribution -- Generation of Reservoir Parameters for a Given Pool Size -- Appendix D: Pool Size Conditional on Pool Ranks -- Theorem 1 -- Corollary -- Theorem 2 -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z.
Summary: This book describes procedures for determining the total hydrocarbon (petroleum) resource or resource protential in a region. Statistical concepts and methods employed in petroleum resource assessment are the subject of the manuscript, extensively illustrated by numerous real case studies. Although the PETRIMES methodology is so widely used, there is no 'user's guide' to it, and this book will be the definitive resource for PETRIMES users.
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Intro -- Contents -- Foreword to the Series -- Foreword -- 1 Introduction -- Background -- Objectives -- An Outline of the Evaluation Procedure -- Scope -- 2 Evaluation Models -- Geological Models and Play Definitions -- Statistical Models -- Concepts Used -- The Nature of Geological Populations -- The Beaverhill Lake Play -- Outliers -- Correlation between Random Variables -- Mixed Populations -- 3 Estimating Mature Plays -- The Superpopulation Model -- Lognormal Discovery Process Model -- Nonparametric Discovery Process Model -- Estimating Pool-Size Distribution for the Beaverhill Lake Play -- Lognormal/Nonparametric-Poisson Discovery Process Model -- Multivariate Discovery Process Model -- Remarks -- Pool-Size-by-Rank by Order Statistics -- Interpretations -- The Matching Process: Operation -- The Beaverhill Lake Play -- Pool Sizes Conditional on Pool Rank -- Distribution of the Ratio of Two Pools -- Play Resource and Potential Distribution -- Play Resource Distribution -- Play Potential Distribution -- 4 More about Discovery Process Models -- Validation Study by Simulation -- Validation Procedure -- Estimates for the N Value -- Estimation of Exploration Efficiency -- Pool-Size-by-Rank -- Play Resource Distribution -- Reduction of Uncertainty -- Validation by Retrospective Study -- Jumping Pound Rundle Gas Play -- Swan Hills Shelf Margin Gas and Leduc Isolated Reef Oil Plays -- Remarks -- Impact of Nonproductive and Noncommercial Pools -- Impact of a Nonproductive Trap -- Impact of Missing Pools -- Testing the Adequacy of Probability Distributions -- The Procedure -- Interpretation -- The Beaverhill Lake Play -- Plays from Worldwide Basins -- Pool-Size Distribution of a Basin -- Justifications for Using a Lognormal Distribution -- Evidence from the Q-Q Plots -- Approximation of a Lognormal Distribution to Geological Random Variables.

Advantages of Using a Lognormal Distribution -- Estimation Error Resulting from Lognormal Distribution Approximation -- 5 Evaluating Conceptual Plays -- Geological Factors -- Exploration Risk -- Methods for Estimating Marginal Probability -- Dependence in Prospect-Level Geological Factors -- The East Coast Play -- Pool-Size Distribution -- The Monte Carlo Method -- The Lognormal Approximation -- Examples -- Estimating Resources -- Number-of-Prospects Distribution -- Number-of-Pools Distribution -- Play Resource Distribution -- Pool-Size-by-Rank -- Generation of Reservoir Parameters -- Constructing Probability Distributions -- 6 Estimation Update and Feedback Procedures -- Procedure for Estimating Mature Plays -- Step 1: Formulating a Play Definition and Its Geographic Boundary -- Step 2: Compiling Play Data -- Step 3: Validating Mixed Populations or Lognormal Assumptions -- Step 4: Estimating Pool-Size Distribution -- Step 5: Determining an Appropriate Probability Distribution -- Step 6: Estimating Pool-Size-by-Rank -- Step 7: Estimating Expected and Probable Play Potential -- Step 8: Computing Play Resource Distribution -- Procedure for Estimating Conceptual Plays -- Conceptual Plays from a Mature Basin -- Conceptual Plays from a Frontier Basin -- Update Procedure -- Feedback Procedure -- Can We Predict the Current Situation? -- Has the Largest Pool Been Discovered? -- Pool Size Conditional on Play Resource -- 7 Other Assessment Methods-An Overview -- Geological Approach -- Volumetric Yield by Analogous Basin Method -- Basin Classification Method -- Geochemical Approaches -- Petroleum System or Geochemical Mass Balance Method -- Burial and Thermal History Modeling -- Statistical Approaches -- Finite Population Methods -- Superpopulation Methods -- The Regression Method -- The Fractal Method -- 8 Concluding Remarks.

Appendix A: Estimation of Superpopulation Parameters from a Successively Sampled Finite Population -- The Likelihood Function -- Maximum-Likelihood Estimation -- Inference for θ and N -- Inference for the Weight Function -- Appendix B: Nonparametric Procedure for Estimating Distributions -- Appendix C: The Largest Pool Size and Its Distribution -- The rth Largest Pool-Size Distribution -- Generation of Reservoir Parameters for a Given Pool Size -- Appendix D: Pool Size Conditional on Pool Ranks -- Theorem 1 -- Corollary -- Theorem 2 -- References -- Index -- A -- B -- C -- D -- E -- F -- G -- H -- I -- J -- K -- L -- M -- N -- O -- P -- Q -- R -- S -- T -- U -- V -- W -- X -- Y -- Z.

This book describes procedures for determining the total hydrocarbon (petroleum) resource or resource protential in a region. Statistical concepts and methods employed in petroleum resource assessment are the subject of the manuscript, extensively illustrated by numerous real case studies. Although the PETRIMES methodology is so widely used, there is no 'user's guide' to it, and this book will be the definitive resource for PETRIMES users.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2019. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

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