Enhanced Oil Recovery - Field Planning and Development Strategies

Enhanced-Oil Recovery (EOR) evaluations focused on asset acquisition or rejuvenation involve a combination of complex decisions, using different data sources. EOR projects have been traditionally associated with high CAPEX and OPEX, as well as high financial risk, which tend to limit the number of E...

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Main Authors Alvarado, Vladimir, Manrique, Eduardo
Format eBook
LanguageEnglish
Published Chantilly Elsevier 2010
Elsevier Science & Technology
Gulf Professional Publishing
Gulf Professional Pub
Edition1
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Abstract Enhanced-Oil Recovery (EOR) evaluations focused on asset acquisition or rejuvenation involve a combination of complex decisions, using different data sources. EOR projects have been traditionally associated with high CAPEX and OPEX, as well as high financial risk, which tend to limit the number of EOR projects launched. In this book, the authors propose workflows for EOR evaluations that account for different volumes and quality of information. This flexible workflow has been successfully applied to oil property evaluations and EOR feasibility studies in many oil reservoirs. The methodology associated with the workflow relies on traditional (look-up tables, XY correlations, etc.) and more advanced (data mining for analog reservoir search and geology indicators) screening methods, emphasizing identification of analogues to support decision making. The screening phase is combined with analytical or simplified numerical simulations to estimate full-field performance by using reservoir data-driven segmentation procedures. The book includes case studies from Asia, Canada, Mexico, South America and the United States. Assets evaluated include reservoir types ranging from oil sands to condensate reservoirs. Different stages of development and information availability are discussed.
AbstractList Enhanced-Oil Recovery (EOR) evaluations focused on asset acquisition or rejuvenation involve a combination of complex decisions, using different data sources. EOR projects have been traditionally associated with high CAPEX and OPEX, as well as high financial risk, which tend to limit the number of EOR projects launched. In this book, the authors propose workflows for EOR evaluations that account for different volumes and quality of information. This flexible workflow has been successfully applied to oil property evaluations and EOR feasibility studies in many oil reservoirs. The methodology associated with the workflow relies on traditional (look-up tables, XY correlations, etc.) and more advanced (data mining for analog reservoir search and geology indicators) screening methods, emphasizing identification of analogues to support decision making. The screening phase is combined with analytical or simplified numerical simulations to estimate full-field performance by using reservoir data-driven segmentation procedures. The book includes case studies from Asia, Canada, Mexico, South America and the United States. Assets evaluated include reservoir types ranging from oil sands to condensate reservoirs. Different stages of development and information availability are discussed.
Enhanced-Oil Recovery (EOR) evaluations focused on asset acquisition or rejuvenation involve a combination of complex decisions, using different data sources. EOR projects have been traditionally associated with high CAPEX and OPEX, as well as high financial risk, which tend to limit the number of EOR projects launched. In this book, the authors propose workflows for EOR evaluations that account for different volumes and quality of information. This flexible workflow has been successfully applied to oil property evaluations and EOR feasibility studies in many oil reservoirs. The methodology associated with the workflow relies on traditional (look-up tables, XY correlations, etc.) and more advanced (data mining for analog reservoir search and geology indicators) screening methods, emphasizing identification of analogues to support decision making. The screening phase is combined with analytical or simplified numerical simulations to estimate full-field performance by using reservoir data-driven segmentation procedures. Case Studies form Asia, Canada, Mexico, South America and the United States Assets evaluated include reservoir types ranging from oil sands to condensate reservoirs. Different stages of development and information availability are discussed
Author Alvarado Vladimir
Manrique Eduardo
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SubjectTerms Enhanced oil recovery
Extraction & Other Production
Oil & Gas Engineering
SubjectTermsDisplay Electronic books.
Enhanced oil recovery.
TableOfContents Title Page Introduction Preface Table of Contents 1. Reservoir Development Plans 2. Enhanced Oil Recovery Concepts 3. Simulations and Simulation Options 4. Screening Methods 5. Evaluating Soft Issues 6. Economic Considerations and Framing 7. Methodology 8. EOR's Current Status 9. Closing Remarks References Index
6.4. CO2-EOR Storage as It Relates To Costs -- 6.5. EOR Incentives -- Chapter 7: Methodology -- 7.1. Introduction -- 7.1.1 Conventional Screening -- 7.1.2 Geologic Screening -- 7.1.3 Advanced Screening -- 7.2. Evaluating Soft Issues -- 7.3. Predicting Performance -- 7.4. Economics -- 7.5. Field Cases -- 7.5.1 Field Case Type I: Time Constraints and Lack of Data -- 7.5.2 Field Case Type II: Insufficient Time to Use Data -- Chapter 8: EOR's Current Status -- 8.1. Introduction -- 8.2. EOR By Lithology -- 8.2.1 EOR in Sandstone Formations -- 8.2.2 EOR in Carbonate Formations -- 8.3. Offshore Versus Onshore EOR -- Chapter 9: Closing Remarks -- References -- Index
Front Cover -- Enhanced Oil Recovery -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgments -- Introduction -- Chapter 1: Reservoir Development Plans -- Chapter 2: Enhanced Oil Recovery Concepts -- 2.1. Introduction -- 2.2. What is Enhanced Oil Recovery? -- 2.2.1 IOR and EOR Definitions -- 2.3. Enhanced Oil Recovery Methods -- 2.3.1 Oil Recovery Controls -- 2.3.2 Classification of EOR Methods -- Chapter 3: Simulations and Simulation Options -- 3.1. Introduction -- 3.2. A Simulation Model -- 3.2.1 Mass Balance -- 3.2.2 Momentum Balance -- 3.2.3 Energy Conservation -- 3.2.4 Pressure-Volume-Temperature -- 3.3. Objectives of Simulations -- 3.3.1 Reservoir Characterization -- 3.3.2 Production Forecasts -- 3.4. Analytical Simulations -- 3.4.1 Steps for Analytical Evaluations -- 3.4.2 Field Case -- Chapter 4: Screening Methods -- 4.1. Introduction -- 4.2. Conventional Screening -- 4.3. Geologic Screening -- 4.4. Advanced EOR Screening -- 4.4.1 Identifying Reservoir Analog -- 4.4.2 Analyzing a Portfolio of Oil Reservoirs -- 4.4.3 Other Applications -- 4.4.4 CO2 Expert Maps -- Chapter 5: Evaluating Soft Issues -- 5.1. Introduction -- 5.2. Injection Fluids -- 5.3. Carbon Dioxide -- 5.4. Geographic Location -- 5.5. Other Soft Issues -- 5.5.1 Regulations -- 5.5.2 Public Opinion -- 5.5.3 Expiration Dates -- 5.5.4 New Technologies -- 5.5.5 Public Information -- 5.5.6 Cost of Imports -- 5.5.7 Labor -- 5.5.8 Summary -- Chapter 6: Economic Considerations And Framing -- 6.1. Introduction -- 6.2. Framing Decisions -- 6.2.1 What Is a Decision? -- 6.2.2 Decision Objective Function and Financial Indicators -- 6.2.3 Framing an EOR Problem -- 6.2.4 Using Influence Diagrams and Decision Trees -- 6.3. Economic Evaluations -- 6.3.1 Basic Economics of Steam Flooding -- 6.3.2 Basic Economics of Chemical Flooding
Title Enhanced Oil Recovery - Field Planning and Development Strategies
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