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Presents numerical methods for reservoir simulation, with efficient implementation and examples using widely-used online open-source code, for researchers, professionals and advanced students. This title is also available as Open Access on Cambridge Core.
List of contents
Preface; 1. Introduction; Part I. Geological Models and Grids: 2. Modeling reservoir rocks; 3. Grids in subsurface modeling; Part II. Single-Phase Flow: 4. Mathematical models for single-phase flow; 5. Incompressible solvers for single-phase flow; 6. Consistent discretizations on polyhedral grids; 7. Compressible flow and rapid prototyping; Part III. Multiphase Flow: 8. Mathematical models for multiphase flow; 9. Discretizing hyperbolic transport equations; 10. Solvers for incompressible immiscible flow; 11. Compressible multiphase flow; 12. The AD-OO framework for reservoir simulation; Part IV. Reservoir Engineering Workflows: 13. Flow diagnostics; 14. Grid coarsening; 15. Upscaling petrophysical properties; Appendix. The MATLAB reservoir simulation toolbox; References; Index of MRST functions; Subject index.
About the author
Knut-Andreas Lie is Chief Scientist at SINTEF in Oslo, Norway, where he heads a research group in computational methods for geoscience applications. Over the last twenty years he has developed commercial and inhouse software solutions for the international petroleum industry. In particular, he is a founding father of two open-source community softwares: MRST and OPM. Lie holds a Ph.D. in mathematics from the Norwegian University of Science and Technology in Trondheim, where he also has a position as adjunct professor. He has authored 140 scientific papers and supervised sixty-five M.Sc. and Ph.D. students. He currently serves as Executive Editor for the SPE Journal of the Society of Petroleum Engineers.
Summary
This book provides an introduction to reservoir simulation, by a simulator developer. It contains a large number of numerical examples, which come fully equipped with online open-source code, allowing the reader to reproduce results and experiment with their own work. This title is also available as Open Access on Cambridge Core.
