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This book presents a concise introduction to the Boltzmann equation of the kinetic theory, based on which different simulation methods that were independently developed for solving problems of different fields can be naturally related to each other. Then, the advantages and disadvantages of different methods will be discussed with reference to each other. It mainly covers four advanced simulation methods based on the Boltzmann equation (i.e., direct simulation Monte Carlo method, direct simulation BGK method, discrete velocity method, and lattice Boltzmann method) and their applications with detailed results. In particular, many simulations are included to demonstrate the applications for both conventional and unconventional reservoirs.
With the development of high-resolution CT and high-performance computing facilities, the study of digital rock physics is becoming increasingly important for understanding the mechanisms of enhanced oil and gas recovery. The advanced methods presented here have broad applications in petroleum engineering as well as mechanical engineering , making them of interest to researchers, professionals, and graduate students alike. At the same time, instructors can use the codes at the end of the book to help their students implement the advanced technology in solving real industrial problems.
This book presents a concise introduction to the Boltzmann equation of the kinetic theory, based on which different simulation methods that were independently developed for solving problems of different fields can be naturally related to each other. Then, the advantages and disadvantages of different methods will be discussed with reference to each other. It mainly covers four advanced simulation methods based on the Boltzmann equation (i.e., direct simulation Monte Carlo method, direct simulation BGK method, discrete velocity method, and lattice Boltzmann method) and their applications with detailed results. In particular, many simulations are included to demonstrate the applications for both conventional and unconventional reservoirs.
With the development of high-resolution CT and high-performance computing facilities, the study of digital rock physics is becoming increasingly important for understanding the mechanisms of enhanced oil and gas recovery. The advanced methods presented here have broad applications in petroleum engineering as well as mechanical engineering , making them of interest to researchers, professionals, and graduate students alike. At the same time, instructors can use the codes at the end of the book to help their students implement the advanced technology in solving real industrial problems.
Jun Li has been a Research Engineer since May 2014, the Center for Integrative Petroleum Research (CIPR), at CPG of KFUPM, Kingdom of Saudi Arabia. He had independently proposed the DSBGK method to efficiently and accurately solve the B.G.K equation, a good approximation of the Boltzmann equation, and developed the MPI Fortran software NanoGasSim using the DSBGK method for the pore-scale study of shale gas permeability and gas flows in MEMS and vacuum system at high Knudsen (Kn) number. He also proposed an upscaled lattice Boltzmann method for multiscale simulation of conventional reservoirs.
Provides customized Fortran codes to facilitate the understanding and application of the algorithm
Demonstrates applications in multi-scale simulations
Compares and contrasts several numerical methods for addressing the problem
Fluid Mechanics Based on Continuum Assumption.- Boltzmann Equation.- Simulation Methods for Rare¿ed Gas Flows.- Multiscale LBM Simulations.- Summary and Outlook.
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Kraftwerktechnik |
| Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
xii
164 S. 28 s/w Illustr. 36 farbige Illustr. 164 p. 64 illus. 36 illus. in color. |
| ISBN-13: | 9783030264659 |
| ISBN-10: | 3030264653 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Li, Jun |
| Auflage: | 1st edition 2020 |
| Hersteller: | Springer International Publishing |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 16 mm |
| Von/Mit: | Jun Li |
| Erscheinungsdatum: | 06.09.2019 |
| Gewicht: | 0,436 kg |
Jun Li has been a Research Engineer since May 2014, the Center for Integrative Petroleum Research (CIPR), at CPG of KFUPM, Kingdom of Saudi Arabia. He had independently proposed the DSBGK method to efficiently and accurately solve the B.G.K equation, a good approximation of the Boltzmann equation, and developed the MPI Fortran software NanoGasSim using the DSBGK method for the pore-scale study of shale gas permeability and gas flows in MEMS and vacuum system at high Knudsen (Kn) number. He also proposed an upscaled lattice Boltzmann method for multiscale simulation of conventional reservoirs.
Provides customized Fortran codes to facilitate the understanding and application of the algorithm
Demonstrates applications in multi-scale simulations
Compares and contrasts several numerical methods for addressing the problem
Fluid Mechanics Based on Continuum Assumption.- Boltzmann Equation.- Simulation Methods for Rare¿ed Gas Flows.- Multiscale LBM Simulations.- Summary and Outlook.
| Erscheinungsjahr: | 2019 |
|---|---|
| Fachbereich: | Kraftwerktechnik |
| Genre: | Mathematik, Medizin, Naturwissenschaften, Technik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Buch |
| Inhalt: |
xii
164 S. 28 s/w Illustr. 36 farbige Illustr. 164 p. 64 illus. 36 illus. in color. |
| ISBN-13: | 9783030264659 |
| ISBN-10: | 3030264653 |
| Sprache: | Englisch |
| Einband: | Gebunden |
| Autor: | Li, Jun |
| Auflage: | 1st edition 2020 |
| Hersteller: | Springer International Publishing |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 241 x 160 x 16 mm |
| Von/Mit: | Jun Li |
| Erscheinungsdatum: | 06.09.2019 |
| Gewicht: | 0,436 kg |
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