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Cambridge University Press
Online publication date:
November 2021
Print publication year:
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Creative Commons:
Creative Common License - CC Creative Common License - BY Creative Common License - NC Creative Common License - ND
This content is Open Access and distributed under the terms of the Creative Commons Attribution licence CC-BY-NC-ND 4.0

Book description

Many leading experts contribute to this follow-up to An Introduction to Reservoir Simulation using MATLAB/GNU Octave: User Guide for the MATLAB Reservoir Simulation Toolbox (MRST). It introduces more advanced functionality that has been recently added to the open-source MRST software. It is however a self-contained introduction to a variety of modern numerical methods for simulating multiphase flow in porous media, with applications to geothermal energy, chemical enhanced oil recovery (EOR), flow in fractured and unconventional reservoirs, and in the unsaturated zone. The reader will learn how to implement new models and algorithms in a robust, efficient manner. A large number of numerical examples are included, all fully equipped with code and data so that the reader can reproduce the results and use them as a starting point for their own work. Like the original textbook, this book will prove invaluable for researchers, professionals and advanced students using reservoir simulation methods. This title is available as Open Access on Cambridge Core.

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Full book PDF
  • Frontmatter
    pp i-iv
  • Contents
    pp v-xiii
  • List of Contributors
    pp xiv-xvi
  • Preface
    pp xvii-xxiii
  • Acknowledgments
    pp xxiv-xxiv
  • Navigating the Book and the MRST Modules
    pp xxv-xxviii
  • Part I - Grid Generation, Discretizations, and Solvers
    pp 1-2
  • 2 - Nonlinear Finite-Volume Methods for the Flow Equation in Porous Media
    pp 46-69
  • 4 - Multiscale Pressure Solvers for Stratigraphic and Polytopal Grids
    pp 97-148
  • Part II - Rapid Prototyping and Accelerated Computation
    pp 149-150
  • 5 - Better AD Simulators with Flexible State Functions and Accurate Discretizations
    pp 151-199
  • 6 - Faster Simulation with Optimized Automatic Differentiation and Compiled Linear Solvers
    pp 200-254
  • Part III - Modeling of New Physical Processes
    pp 255-256
  • 8 - Compositional Simulation with the AD-OO Framework
    pp 324-374
  • 9 - Embedded Discrete Fracture Models
    pp 375-408
  • 10 - Numerical Modeling of Fractured Unconventional Oil
    pp 409-453
  • 12 - Simulation of Geothermal Systems Using MRST
    pp 491-514


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