
Introduction to Modeling, Simulation and Optimization of CO2 Sequestration in Various Types of Reservoirs
- 1st Edition - November 23, 2024
- Imprint: Elsevier
- Authors: Ramesh Agarwal, Danqing Liu
- Language: English
- Paperback ISBN:9 7 8 - 0 - 4 4 3 - 1 5 3 3 1 - 0
- eBook ISBN:9 7 8 - 0 - 4 4 3 - 1 5 3 3 0 - 3
Carbon capture and sequestration has become an essential technology for addressing the mitigation of global warming and adverse climate change due to increasing CO2 emissions… Read more

Purchase options

Institutional subscription on ScienceDirect
Request a sales quoteCarbon capture and sequestration has become an essential technology for addressing the mitigation of global warming and adverse climate change due to increasing CO2 emissions from fossil fuel combustion worldwide. However, the scientific/engineering community still lacks thorough and practical knowledge about various types of reservoirs capable of effective long-term CO2 sequestration. Introduction to Modeling, Simulation, and Optimization of CO2 Sequestration in Various Types of Reservoirs pulls together the relevant basic scientific knowledge and applications to help reservoir engineering practitioners learn and utilize the potential of CO2 sequestration in saline, oil, gas, shale, basalt, and geothermal reservoirs. After presenting the fundamental properties of various reservoirs, the authors describe each type of reservoir and explain basic parameters, benchmark cases, experimental data, optimization strategies for CO2 sequestration, prospects, and outlook. Rounding out the text with a glossary and consideration of future developments, this book delivers the necessary tools for engineers to better understand carbon sequestration and advance the energy transition.
- Introduces the physical characteristics of saline, oil, gas, shale, basalt, and geothermal reservoirs
- Describes the physics and chemistry of CO2 sequestration in different types of reservoirs and their modeling
- Applies numerical simulation and optimization methodology to various reservoirs with real-world examples
- Reviews machine learning applications to carbon capture and sequestration
Reservoir Engineers, petroleum and natural gas engineers, subsurface researchers, geo-engineers
- Introduction to Modeling, Simulation and Optimization of CO2 Sequestration in Various Types of Reservoirs
- Cover image
- Title page
- Table of Contents
- Copyright
- Preface
- Acknowledgments
- Chapter 1 Carbon capture, utilization, and storage: Technology development and applications, policy considerations, and technoeconomic analysis
- Abstract
- Keywords
- 1.1 Introduction
- 1.2 Progress in CCUS technology research
- 1.2.1 CO2 capture
- 1.2.2 CO2 transport
- 1.2.3 CO2 storage
- 1.2.4 CO2 utilization
- 1.3 Status of CCUS technology applications
- 1.3.1 Global CCUS projects
- 1.3.2 Application of CCUS technology
- 1.4 CCUS policy
- 1.5 CCUS economic analysis
- 1.5.1 Factors affecting the economic viability of CCUS
- 1.5.2 Economic model
- 1.6 Challenges and prospects for CCUS technology
- 1.6.1 Challenges
- 1.6.2 Outlook
- References
- Chapter 2 Basic properties of CO2, groundwater, and geological storage sites
- Abstract
- Keywords
- 2.1 Properties of CO2
- 2.1.1 Basic properties of CO2
- 2.1.2 Phase transformation rule of CO2
- 2.1.3 Physical properties of CO2
- 2.1.4 Thermodynamic properties in CO2-H2O system
- 2.2 Geological storage medium of CO2
- 2.2.1 Storage layer
- 2.2.2 Cap layer
- 2.3 The concept and nature of groundwater
- 2.3.1 Groundwater definition
- 2.3.2 Classification of underground water
- 2.3.3 The chemical properties and influencing factors of groundwater
- 2.4 Summary
- References
- Chapter 3 Numerical methods and codes used in CCUS simulation and optimization
- Abstract
- Keywords
- 3.1 Introduction
- 3.2 TOUGH2
- 3.3 Governing equations for underground multiphase fluid dynamics
- 3.3.1 Mass equation
- 3.3.2 Energy equation
- 3.3.3 Relative permeability and capillary pressure models
- 3.4 Numerical method: Integral finite difference scheme
- 3.5 Genetic algorithm and GA-TOUGH2
- 3.6 Summary
- References
- Chapter 4 Geological sequestration of CO2 in deep saline aquifers
- Abstract
- Keywords
- 4.1 Basic physics, characteristics, and parameters
- 4.1.1 Basic physics
- 4.1.2 Characteristics
- 4.1.3 Parameters
- 4.2 Review of numerical and experimental studies
- 4.3 Benchmark cases and simulations
- 4.3.1 Simulation of benchmark problem #1—CO2 plume evolution and leakage through an abandoned well
- 4.3.2 Simulation of benchmark problem #2—Enhanced CH4 recovery in combination with CO2 sequestration in depleted gas reservoirs
- 4.3.3 Simulation of benchmark problem #3—CO2 injection in a heterogeneous geological formation
- 4.3.4 Conclusions from benchmark simulations
- 4.4 Modeling and numerical simulation of CO2 sequestration in large saline aquifers
- 4.4.1 SAGCS simulation for Mt. Simon formation
- 4.4.2 SAGCS simulation for Utsira formation
- 4.5 Optimization strategies for CO2 sequestration in saline aquifers
- 4.5.1 Optimization of CO2 dissolution for constant gas injection rate: Validation of GA-TOUGH2 against the brute-force approach
- 4.5.2 Optimization of CO2 plume migration for water-alternating-gas injection scheme
- 4.5.3 Optimal pressure management
- 4.5.4 Performance optimization of a multiwell system
- 4.6 Summary and future outlook
- References
- Chapter 5 CO2 sequestration in basaltic reservoir
- Abstract
- Keywords
- 5.1 Igneous rocks and its potential for CO2 storage
- 5.2 CO2 sequestration mechanism of basalts
- 5.2.1 CO2 mineralization
- 5.3 Alumina-silicate minerals’ dissolution and precipitation
- 5.3.1 Dissolution and precipitation
- 5.3.2 Impact on injectivity
- 5.3.3 Impact of injectivity on CO2 storage security
- 5.4 Demonstration project of CCS in basalt
- 5.4.1 Wallula project
- 5.4.2 Carbfix project
- 5.4.3 Other projects
- 5.5 Numerical simulation examples of CO2 sequestration in basalt
- 5.5.1 Introduction
- 5.5.2 Materials and methods
- 5.5.3 Results and discussion
- 5.6 Summary, challenges, and prospects
- 5.6.1 Summary
- 5.6.2 Challenges and prospects
- References
- Chapter 6 CO2 enhanced oil recovery (CO2-EOR)
- Abstract
- Keywords
- 6.1 Basic physics, characteristics, and parameters
- 6.1.1 Physical parameters of tight oil reservoirs
- 6.1.2 Carbon dioxide gas diffusion mechanism
- 6.2 Review of numerical and experimental studies
- 6.3 Modeling and numerical simulation of CO2 sequestration with EOR
- 6.4 Optimization strategies for CO2 sequestration with EOR
- 6.4.1 Simulation and optimization of a benchmark problem
- 6.5 Summary and future outlook
- References
- Chapter 7 CO2 enhanced gas recovery (CO2-EGR)
- Abstract
- Keywords
- 7.1 Basic physics, characteristics, and parameters
- 7.2 Review of experimental studies
- 7.2.1 Consolidated core flooding experiments
- 7.2.2 Unconsolidated core flooding experiments
- 7.3 Modeling and numerical simulation of CO2 sequestration with EGR
- 7.4 Optimization strategies for CO2 sequestration with EGR
- 7.4.1 Example application
- 7.5 Summary and future outlook
- References
- Chapter 8 CO2 enhanced geothermal system (CO2-EGS)
- Abstract
- Keywords
- 8.1 Basic physics, characteristics, and parameters
- 8.1.1 Basic physics
- 8.1.2 Characteristics
- 8.1.3 Parameters
- 8.2 Review of numerical and experimental studies
- 8.2.1 Changes in the mineral composition of the reservoir rock after interaction with CO2
- 8.2.2 Changes in the structure of rock micropores after interaction with CO2
- 8.2.3 Changes in the mechanical properties of the rock after interactions with CO2
- 8.3 Modeling and numerical simulation of CO2 enhanced geothermal system
- 8.3.1 Grid discretization
- 8.3.2 Numerical simulation software
- 8.3.3 Numerical simulation studies
- 8.4 Optimization strategies for CO2 enhanced geothermal system
- 8.4.1 Optimization of operating parameters
- 8.4.2 Reservoir optimization
- 8.4.3 Some guidelines for economic optimization of a power plant based on CO2-EGS
- 8.4.4 Example application of optimization of EGS [39]
- 8.5 Summary and future work/outlook
- References
- Chapter 9 CO2 enhanced shale gas recovery (CO2-ESGR)
- Abstract
- Keywords
- 9.1 Basic physics, characteristics, and parameters
- 9.1.1 Shale
- 9.1.2 CO2/supercritical CO2
- 9.1.3 The concept of CO2 enhanced shale gas recovery
- 9.1.4 CO2 sequestration in shale
- 9.1.5 Advantages and disadvantages of CO2-ESGR
- 9.2 Review of numerical and experimental studies
- 9.2.1 The potential of shale gas recovery and CO2 storage in shale reservoir
- 9.2.2 Interaction of CO2 and shale
- 9.2.3 CO2 adsorption-induced swelling in shale
- 9.2.4 Effect of CO2-shale interaction on rock properties
- 9.3 Modeling and optimization of CO2 sequestration with ESGR
- 9.3.1 Numerical studies of long-term storage of CO2 in Yanchang shale, China
- 9.3.2 Optimization strategies for CO2 sequestration with ESGR
- 9.4 Summary and future work/outlook
- References
- Chapter 10 CO2 enhanced water recovery (CO2-EWR)
- Abstract
- Keywords
- 10.1 Basic physics, characteristics, and parameters
- 10.1.1 Basic physics
- 10.1.2 Characteristics
- 10.1.3 Parameters
- 10.2 Review of numerical and experimental studies
- 10.2.1 CO2-EWR in the context of CO2 geological storage in deep saline aquifers
- 10.2.2 Brine extraction and utilization
- 10.3 Modeling and numerical simulation of CO2 sequestration with EWR
- 10.3.1 Geochemical changes in the reservoir after CO2 injection
- 10.3.2 Research on effectiveness of brine extraction on reservoir pressure management in the CO2-EWR system
- 10.3.3 Parameter sensitivity study on efficiency of CO2-EWR
- 10.3.4 Economic assessment
- 10.4 Optimization strategies for CO2 sequestration with EWR
- 10.4.1 CO2-EWR system model optimization [8]
- 10.4.2 Operation/parameters optimization
- 10.5 Summary and future outlook
- References
- Chapter 11 Direct air CO2 capture and storage (DACCS)
- Abstract
- Keywords
- 11.1 Introduction
- 11.2 Overview of DACCS
- 11.2.1 Concept of DACCS
- 11.2.2 The development history of DACCS
- 11.3 Research status of DACCS
- 11.3.1 Alkaline adsorbents
- 11.3.2 Solid adsorbent
- 11.3.3 Amine adsorbents
- 11.3.4 Other adsorbents
- 11.4 Economic analysis and policy support for DACCS
- 11.4.1 Economic analysis
- 11.4.2 Policy support for DACCS
- 11.5 Introduction of DACCS commercial demonstration projects
- 11.6 Summary and future outlook
- References
- Chapter 12 Application of machine learning in CCUS
- Abstract
- Keywords
- 12.1 The concept of CCUS
- 12.2 The concept of machine learning
- 12.3 The application status of machine learning in CCUS
- 12.3.1 Machine learning in CO2 absorption process
- 12.3.2 Machine learning in CO2 adsorption process
- 12.3.3 Machine learning in combustion technologies with pure CO2 capture
- 12.3.4 Machine learning in carbon dioxide transportation
- 12.3.5 Machine learning in CO2 storage and utilization
- 12.4 Machine learning for chemical-looping combustion
- 12.4.1 Brief review of machine learning methods
- 12.4.2 Example applications of machine learning to CLC
- 12.5 Machine learning for optimization of impure CO2-ESGR
- 12.5.1 CO2 enhanced shale gas recovery
- 12.5.2 Model data preprocessing
- 12.5.3 Construction of the shale gas recovery numerical model
- 12.5.4 Optimization of engineering parameters
- 12.6 Summary and future outlook
- References
- Glossary
- Author Index
- Subject Index
- Edition: 1
- Published: November 23, 2024
- Imprint: Elsevier
- No. of pages: 486
- Language: English
- Paperback ISBN: 9780443153310
- eBook ISBN: 9780443153303
RA
Ramesh Agarwal
Ramesh Agarwal is currently the William Palm Professor Chair at Washington University in St. Louis. Previously, he was the Sam Bloomfield Distinguished Professor and Executive Director of the National Institute for Aviation Research at Wichita State University, Kansas and the Program Director and McDonnell Douglas Fellow at McDonnell Douglas Research Laboratories in St. Louis. Dr. Agarwal received his PhD from Stanford University, M.S. from the University of Minnesota and B.S. in Mechanical Engineering from the Indian Institute of Technology, Kharagpur, India. He is the author and coauthor of over 600 publications. He has given many plenary, keynote and invited lectures in over sixty countries. He is a Fellow of 24 professional societies American Society of Mechanical Engineers (ASME), Institute of Electrical and Electronics Engineers (IEEE), Society of Automotive Engineers (SAE). He has received many prestigious national/international awards including the SAE Medal of Honor, ASME Honorary Fellowship and Honorary Fellowship from Royal Aeronautical Society.
Affiliations and expertise
William Palm Professor of Engineering Chair, Washington University, St. Louis, USADL
Danqing Liu
Dr. Danqing Liu is currently an Assistant Professor in the School of Environmental Sciences in China University of Geosciences in Wuhan, China. She received her PhD from China University of Geosciences. She is the author and co-author of nearly 50 papers in many prestigious journals in the area of CCS in saline aquifers, shale, basalt and other reservoirs.
Affiliations and expertise
Assistant Professor, School of Environmental Sciences, China University of Geosciences, Wuhan, ChinaRead Introduction to Modeling, Simulation and Optimization of CO2 Sequestration in Various Types of Reservoirs on ScienceDirect