Emerging Advances in Petrophysics. Porous Media Characterization and Modeling of Multiphase Flow

Due to the influence of pore-throat size distribution, pore connectivity, and microscale fractures, the transport, distribution, and residual saturation of fluids in porous media are difficult to characterize. Petrophysical methods in natural porous media have attracted great attention in a variety...

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Main Author: Cai, Jianchao (auth)
Other Authors: Zhang, Zhien (auth), Sun, Shuyu (auth), Habibi, Ali (auth)
Format: Book Chapter
Published: MDPI - Multidisciplinary Digital Publishing Institute 2019
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Online Access:Get Fullteks
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020 |a books978-3-03897-795-7 
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041 0 |a English 
042 |a dc 
100 1 |a Cai, Jianchao  |4 auth 
700 1 |a Zhang, Zhien  |4 auth 
700 1 |a Sun, Shuyu  |4 auth 
700 1 |a Habibi, Ali  |4 auth 
245 1 0 |a Emerging Advances in Petrophysics. Porous Media Characterization and Modeling of Multiphase Flow 
260 |b MDPI - Multidisciplinary Digital Publishing Institute  |c 2019 
300 |a 1 electronic resource (258 p.) 
506 0 |a Open Access  |2 star  |f Unrestricted online access 
520 |a Due to the influence of pore-throat size distribution, pore connectivity, and microscale fractures, the transport, distribution, and residual saturation of fluids in porous media are difficult to characterize. Petrophysical methods in natural porous media have attracted great attention in a variety of fields, especially in the oil and gas industry. A wide range of research studies have been conducted on the characterization of porous media covers and multiphase flow therein. Reliable approaches for characterizing microstructure and multiphase flow in porous media are crucial in many fields, including the characterization of residual water or oil in hydrocarbon reservoirs and the long-term storage of supercritical CO2 in geological formations. This book gathers together 15 recent works to emphasize fundamental innovations in the field and novel applications of petrophysics in unconventional reservoirs, including experimental studies, numerical modeling (fractal approach), and multiphase flow modeling/simulations. The relevant stakeholders of this book are authorities and service companies working in the petroleum, subsurface water resources, air and water pollution, environmental, and biomaterial sectors. 
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546 |a English 
653 |a liquid rate 
653 |a particle size 
653 |a greenhouse gas emission 
653 |a wellbore multiphase flow 
653 |a oscillating motion 
653 |a oil tanker 
653 |a Lattice Boltzmann method 
653 |a base-level cycle 
653 |a fracture characterization and prediction 
653 |a submarine landslide 
653 |a Wilkins equation 
653 |a bulk density 
653 |a low-temperature nitrogen adsorption 
653 |a unconventional reservoirs 
653 |a air-entry value 
653 |a fractal model 
653 |a tight sandstone 
653 |a hazard prevention 
653 |a South China Sea 
653 |a loose media 
653 |a soil-water characteristic curve 
653 |a tight conglomerate 
653 |a supercritical CO2 
653 |a creep 
653 |a seepage resistance 
653 |a classification 
653 |a mouth bar sand body 
653 |a Peng-Robinson equation of state (PR EOS) 
653 |a digital rock 
653 |a methane 
653 |a coal 
653 |a marine gas hydrate 
653 |a pore structure 
653 |a acoustic emission 
653 |a porous media 
653 |a damage 
653 |a initial void ratio 
653 |a Huanghua Depression 
653 |a fractal method 
653 |a gas rate 
653 |a petrophysics 
653 |a fractal porous media 
653 |a true density 
653 |a multilayer reservoir 
653 |a microfractures 
653 |a multifractal 
653 |a overburden pressure 
653 |a turbulence modelling 
653 |a numerical simulation 
653 |a diffusion coefficient 
653 |a inclined angle 
653 |a Ordos Basin 
653 |a producing degree 
653 |a pore-scale simulations 
653 |a lifecycle management 
653 |a porosity 
653 |a fractal dimension 
653 |a fractional derivative 
653 |a interlayer interference 
653 |a isotopic composition 
653 |a non-laminar flow 
653 |a temperature drop 
653 |a CT 
653 |a Bakken Formation 
653 |a salt rock 
653 |a gas hydrate 
653 |a multiphase flow 
653 |a oil properties 
653 |a pressure drawdown model with new coefficients 
653 |a controlling factors 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/46247  |7 0  |z DOAB: description of the publication