An Introduction to Multiphase, Multicomponent Reservoir Simulation
- 1st Edition, Volume 75 - October 25, 2022
- Imprint: Elsevier
- Author: Matthew Balhoff
- Language: English
- Paperback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 2 3 5 - 0
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 2 3 6 - 7
An Introduction to Petroleum Reservoir Simulation is aimed toward graduate students and professionals in the oil and gas industry working in reservoir simulation. It begins wi… Read more
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Request a sales quoteAn Introduction to Petroleum Reservoir Simulation is aimed toward graduate students and professionals in the oil and gas industry working in reservoir simulation. It begins with a review of fluid and rock properties and derivation of basic reservoir engineering mass balance equations. Then equations and approaches for numerical reservoir simulation are introduced. The text starts with simple problems (1D, single phase flow in homogeneous reservoirs with constant rate wells) and subsequent chapters slowly add complexities (heterogeneities, nonlinearities, multi-dimensions, multiphase flow, and multicomponent flow). Partial differential equations and finite differences are then introduced but it will be shown that algebraic mass balances can also be written directly on discrete grid blocks that result in the same equations. Many completed examples and figures will be included to improve understanding.
An Introduction to Petroleum Reservoir Simulation is designed for those with their first exposure to reservoir simulation, including graduate students in their first simulation course and working professionals who are using reservoir simulators and want to learn more about the basics.
- Presents basic equations and discretization for multiphase, multicomponent transport in subsurface media in a simple, easy-to-understand manner
- Features illustrations that explain basic concepts and show comparison to analytical solutions and commercial simulators
- Includes dozens of completed example problems on a small number of grid blocks
- Offers pseudocode and exercises to allow the reader to develop their own computer-based numerical simulator that can be verified against analytical solutions and commercial simulators
Graduate students and professionals in the oil and gas working in reservoir simulation. Upper-level undergraduate students in their first simulation course and geologists working in the oil and gas industry. Applicable courses or exams: Undergraduate and graduate courses in reservoir simulation (in petroleum geology and engineering programs)
- Cover image
- Title page
- Table of Contents
- Copyright
- Dedication
- Preface
- Acknowledgments
- Nomenclature
- Chapter 1. Review of reservoir rock and fluid properties
- 1.1. Introduction
- 1.2. Overview of reservoir engineering principles
- 1.3. Definitions
- 1.4. Phase behavior
- 1.5. Rock and Fluid Properties
- 1.6. Petrophysical properties
- 1.7. Reservoir initialization
- 1.8. Pseudocode
- 1.9. Exercises
- Chapter 2. Phase mass balances and the diffusivity equation
- 2.1. Introduction
- 2.2. Phase mass balances
- 2.3. The continuity equation
- 2.4. The diffusivity equation
- 2.5. Analytical solutions
- 2.6. Exercises
- Chapter 3. Finite difference solutions to PDEs
- 3.1. Introduction
- 3.2. Taylor series and finite differences
- 3.3. Discretization of the parabolic diffusivity (heat) equation
- 3.4. Boundary and initial conditions
- 3.5. Solution methods
- 3.6. Stability and convergence
- 3.7. Higher-order approximations
- 3.8. Pseudocode for 1D, single-phase flow
- 3.9. Exercises
- Chapter 4. Multidimensional reservoir domains, the control volume approach, and heterogeneities
- 4.1. Introduction
- 4.2. Gridding and block numbering in multidimensions
- 4.3. Single-phase flow in multidimensions and the control volume approach
- 4.4. Wells, boundary conditions, and initial conditions
- 4.5. Reservoir heterogeneities
- 4.6. Matrix arrays
- 4.7. Pseudocode for single-phase flow in multidimensions
- 4.8. Exercises
- Chapter 5. Radial flow, wells, and well models
- 5.1. Introduction
- 5.2. Radial flow equations and analytical solutions
- 5.3. Numerical solutions to the radial diffusivity equation
- 5.4. Wells and well models in Cartesian grids
- 5.5. Inclusion of the well model into the matrix equations
- 5.6. Practical considerations
- 5.7. Pseudocode for single-phase flow with constant BHP wells
- 5.8. Exercises
- Chapter 6. Nonlinearities in single-phase flow through subsurface porous media
- 6.1. Introduction
- 6.2. Examples of nonlinearities in single-phase flow problems
- 6.3. Numerical methods for nonlinear problems
- 6.4. Pseudocode for Newton's method
- 6.5. Exercises
- Chapter 7. Component transport in porous media
- 7.1. Introduction
- 7.2. Transport mechanisms
- 7.3. Component mass balance equations
- 7.4. Analytical solutions
- 7.5. Exercises
- Chapter 8. Numerical solution to single-phase component transport
- 8.1. Introduction
- 8.2. Finite difference solution to the ADE in 1D for a single component
- 8.3. Discretization of advective terms
- 8.4. Wells and boundary conditions
- 8.5. Solution methods
- 8.6. Stability
- 8.7. Numerical dispersion
- 8.8. Channeling and viscous fingering
- 8.9. Multicomponents, multidimensions, and additional forms
- 8.10. Pseudocode for component transport
- 8.11. Exercises
- Chapter 9. Numerical solution to the black oil model
- 9.1. Introduction
- 9.2. The black oil model
- 9.3. Finite difference equations for multiphase flow
- 9.4. Solution methods
- 9.5. Interblock transmissibilities and upwinding
- 9.6. Stability
- 9.7. Wells and well models
- 9.8. Pseudocode for multiphase flow
- 9.9. Exercises
- Chapter 10. Numerical solution to multiphase, multicomponent transport
- 10.1. Introduction
- 10.2. Compositional equations for multiphase flow
- 10.3. Finite difference equations
- 10.4. Solution method
- 10.5. Oleic–aqueous bipartitioning components
- 10.6. Pseudocode for multiphase, multicomponent transport
- 10.7. Exercises
- Index
- Edition: 1
- Volume: 75
- Published: October 25, 2022
- Imprint: Elsevier
- No. of pages: 346
- Language: English
- Paperback ISBN: 9780323992350
- eBook ISBN: 9780323992367
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Matthew Balhoff
Matthew T. Balhoff is a Professor in the Hildebrand Department of Petroleum and Geosystems Engineering and Director of the Center for Subsurface Energy and the Environment at UT-Austin. He co-leads the Industrial Affiliates Program on Chemical Enhanced Oil Recovery. Dr. Balhoff received his BS (2000) and PhD (2005) in chemical engineering from Louisiana State University. He became an SPE Distinguished member in 2017 and is a winner of the 2017 SPE Southwestern North America Regional Reservoir Description and Dynamics Award, 2014 SPE International Young Member Service Award, and 2012 SPE International Teaching Fellow Award. Dr. Balhoff has over 70 peer-reviewed publications in the areas of numerical reservoir simulation, pore-scale modelling, enhanced oil recovery, carbon storage, and unconventional resource production. He has taught dozens of undergraduate and graduate courses on numerical reservoir simulation, reservoir engineering, and fluid properties.
Affiliations and expertise
Director, Center for Subsurface Energy and the Environment; Professor, Hildebrand Department of Petroleum and Geosystems Engineering, The University of Texas, Austin, TX, USA; Bank of America Professorship in Petroleum EngineeringRead An Introduction to Multiphase, Multicomponent Reservoir Simulation on ScienceDirect