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

Authors: --- --- ---
ISBN: 9783038977940 9783038977957 Year: Pages: 258 DOI: 10.3390/books978-3-03897-795-7 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Physics (General) --- Geophysics and Geomagnetism
Added to DOAB on : 2019-04-25 16:37:17
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Abstract

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.

Keywords

Wilkins equation --- non-laminar flow --- turbulence modelling --- porous media --- oil tanker --- temperature drop --- oscillating motion --- numerical simulation --- soil-water characteristic curve --- initial void ratio --- air-entry value --- fractal dimension --- fractal model --- oil properties --- diffusion coefficient --- supercritical CO2 --- Peng-Robinson equation of state (PR EOS) --- CT --- digital rock --- microfractures --- Lattice Boltzmann method --- pore-scale simulations --- tight sandstone --- pore structure --- multifractal --- classification --- Ordos Basin --- loose media --- coal --- porosity --- true density --- bulk density --- overburden pressure --- particle size --- tight conglomerate --- fracture characterization and prediction --- fractal method --- salt rock --- creep --- damage --- fractional derivative --- acoustic emission --- marine gas hydrate --- submarine landslide --- greenhouse gas emission --- lifecycle management --- hazard prevention --- multilayer reservoir --- interlayer interference --- producing degree --- seepage resistance --- wellbore multiphase flow --- inclined angle --- liquid rate --- gas rate --- pressure drawdown model with new coefficients --- base-level cycle --- pore structure --- mouth bar sand body --- Huanghua Depression --- isotopic composition --- methane --- gas hydrate --- South China Sea --- Bakken Formation --- pore structure --- controlling factors --- low-temperature nitrogen adsorption --- petrophysics --- fractal porous media --- unconventional reservoirs --- multiphase flow

Remote Sensing for Target Object Detection and Identification

Authors: --- ---
ISBN: 9783039283323 9783039283330 Year: Pages: 336 DOI: 10.3390/books978-3-03928-333-0 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Geography
Added to DOAB on : 2020-04-07 23:07:09
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Target object detection and identification are among the primary uses for a remote sensing system. This is crucial in several fields, including environmental and urban monitoring, hazard and disaster management, and defense and military. In recent years, these analyses have used the tremendous amount of data acquired by sensors mounted on satellite, airborne, and unmanned aerial vehicle (UAV) platforms. This book promotes papers exploiting different remote sensing data for target object detection and identification, such as synthetic aperture radar (SAR) imaging and multispectral and hyperspectral imaging. Several cutting-edge contributions, which provide examples of how to select of a technology or another depending on the specific application, will be detailed.

Keywords

anomaly detection --- hyperspectral imagery --- low-rank representation --- dictionary construction --- HSI reconstruction --- sparse coding --- adaptive weighting --- infrared small target detection --- local prior analysis --- nonconvex tensor robust principle component analysis --- partial sum of the tensor nuclear norm --- low rank sparse decomposition --- Lp-norm constraint --- non-convex optimization --- alternating direction method of multipliers --- infrared small target detection --- convolutional neural networks (CNNs) --- object detection --- remote sensing images --- contextual information --- part-based --- multi-model --- very-high-resolution (VHR) remote sensing imagery --- object detection --- multi-scale pyramidal features --- multi-scale strategies --- oil tank detection --- unsupervised saliency model --- Color Markov Chain --- bottom-up and top-down --- hazard prevention --- flood hazard --- hidden danger identification --- tower failure --- vehicle detection --- object matching --- superpixel segmentation --- unmanned aerial vehicle --- remote sensing imagery --- thermal infrared target tracking --- semantic features --- mask sparse representation --- particle filter framework --- ADMM --- satellite videos --- region proposals --- convolutional neural networks --- tiny and dim target detection --- component mixture model --- object detection --- remote sensing image --- deep learning --- convolutional neural networks (CNNs) --- hardware architecture --- processor --- ground-based detection --- infrared imaging --- observability --- detecting distance --- earth entry vehicle --- synthetic aperture radar (SAR) --- rivers water-flow elevation estimation --- pixel-tracking --- phase unwrapping --- infrared small-faint target detection --- non-independent and identical distribution (non-i.i.d.) mixture of Gaussians --- flux density --- variational Bayesian --- target detection --- target identification --- SAR --- visible --- infrared --- hyperspectral

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english (2)


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2020 (1)

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