LEADER 03832nam 22005175 450 001 9910367240603321 005 20200704062713.0 010 $a3-030-26466-1 024 7 $a10.1007/978-3-030-26466-6 035 $a(CKB)4100000009152682 035 $a(MiAaPQ)EBC5887812 035 $a(DE-He213)978-3-030-26466-6 035 $a(PPN)258876182 035 $a(EXLCZ)994100000009152682 100 $a20190828d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMultiscale and Multiphysics Flow Simulations of Using the Boltzmann Equation $eApplications to Porous Media and MEMS /$fby Jun Li 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (171 pages) 311 $a3-030-26465-3 327 $a Fluid Mechanics Based on Continuum Assumption -- Boltzmann Equation -- Simulation Methods for Rare?ed Gas Flows -- Multiscale LBM Simulations -- Summary and Outlook. 330 $aThis book provides a comprehensive introduction to the kinetic theory for describing flow problems from molecular scale, hydrodynamic scale, to Darcy scale. The author presents various numerical algorithms to solve the same Boltzmann-like equation for different applications of different scales, in which the dominant transport mechanisms may differ. 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. 606 $aFossil fuels 606 $aGeotechnical engineering 606 $aFluid mechanics 606 $aFossil Fuels (incl. Carbon Capture)$3https://scigraph.springernature.com/ontologies/product-market-codes/114000 606 $aGeotechnical Engineering & Applied Earth Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/G37010 606 $aEngineering Fluid Dynamics$3https://scigraph.springernature.com/ontologies/product-market-codes/T15044 615 0$aFossil fuels. 615 0$aGeotechnical engineering. 615 0$aFluid mechanics. 615 14$aFossil Fuels (incl. Carbon Capture). 615 24$aGeotechnical Engineering & Applied Earth Sciences. 615 24$aEngineering Fluid Dynamics. 676 $a533.217 676 $a533.2 700 $aLi$b Jun$4aut$4http://id.loc.gov/vocabulary/relators/aut$0925356 906 $aBOOK 912 $a9910367240603321 996 $aMultiscale and Multiphysics Flow Simulations of Using the Boltzmann Equation$92193403 997 $aUNINA