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Development of Unconventional Reservoirs 2020
Development of Unconventional Reservoirs 2020
Autore Rezaee Reza
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 electronic resource (748 p.)
Soggetto topico Research & information: general
Technology: general issues
Soggetto non controllato bedding fractures
failure criterion
lamina
tight oil
tight sandstone
finite element simulation
numerical simulation
unconventional reservoir
permeability
group method of data handling
artificial neural network
well logs
sensitivity analysis
tight gas reservoir
multi-fractured horizontal well (MFHW)
unstable productivity model
productivity forecast
influencing factor analysis
horizontal well with multiple finite-conductivity fractures
elliptical-shaped drainage
productivity index
non-Darcy flow
pressure-dependent conductivity
reservoir properties
void space structure
porosity
complex rocks
NMR
MICP
CT
SEM
coal-bearing tight sandstone
organic-rich clasts
occurrence
classifications
formation mechanisms
Ordos Basin
hydraulic fracturing
fracturing fluids
fluids-rock interaction
environmental implication
history matching
semianalytic model
unconventional gas reservoirs
multistage fractured horizontal wells
fractal theory
pore structure
heterogeneity
NMR measurements
multifractal analysis
shale reservoir
elastic properties
brittleness
rock physics
brittle spot identification
shale gas
reservoir characteristics
gas content
eastern Sichuan Basin
the Da’anzhai member
pulse decay method
gas adsorption
dual media
unconventional core
natural fracture
influencing factor
oil production
carbonate rock
basement reservoir
Jizhong Sub-basin
dynamic pore network modeling
shale reservoirs
water imbibition
discrete element method
modified fluid-mechanical coupling algorithm
injection sequence
well spacing
stress shadow effect
seismic location
microseismic events
waveform stacking
induced seismicity
CBM
surfactant
solid-free drilling fluid
CBM reservoir wettability
machine learning
lithofacies
umiat
Alaska
proppant transportation
cross fractures
CFD simulation
dimensional analysis
equilibrium proppant height
coalbed methane
Lattice Boltzmann method
gas diffusion
adsorption–desorption
pore-scale
clay minerals
pore structures
tight gas reservoirs
Xujiaweizi Rift
Northern Songliao Basin
methane adsorption isotherm
coal properties
gradient boosting decision tree
estimation model
shale gas reservoir
geology
Gibbs excess adsorption
supercritical adsorption
gas viscosity
high voltage spark discharge
electrohydraulic effect
electrical conductivity
drilling
rock damage
pressure waves
water fracturing
turbulence effect
Eulerian multiphase modeling
proppant transport mechanism
equilibrium height prediction model
adaptive filtering
complex noise canceling
electromagnetic telemetry
multifractured horizontal wells
production analysis
irregular stimulated region
natural gas hydrate
seismic modeling
fractional derivatives
gas geochemical characteristics
noble gas
shale gas evolution
Large Igneous Province (LIP)
gas loss
geological structure
gas controlling pattern
neutral surface
tectonic movement
Bumu region
seismic interpretation
depositional environments characteristics
Wheeler diagram
seismic attributes
heterogeneous sequence
sample size
neutron scattering
mercury injection capillary pressure
adsorption
shale
junggar basin
hong-che fault zone
carboniferous
volcanic reservoir
main controlling factors of hydrocarbon accumulation
fracture
vug
micro CT
carbonate
wave velocity
amorphous SiO2
X-ray diffraction
X-ray fluorescence spectrometry
scanning electron microscope
quantitative analysis
void ratio
FEM
ABAQUS
matrix porosity
kerogen porosity
water saturation
gas hydrate
saturation
deep learning
recurrent neural network
molecular simulation
enhanced oil recovery
methane
shale petroleum
technological development
patent
network analysis
imbibition
osmosis
unconventional formations
EOR
water flooding
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557332603321
Rezaee Reza  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Biosignal Processing in Wearable and Implantable Sensors
Intelligent Biosignal Processing in Wearable and Implantable Sensors
Autore Costin Hariton-Nicolae
Pubbl/distr/stampa Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica 1 electronic resource (318 p.)
Soggetto topico Technology: general issues
History of engineering & technology
Soggetto non controllato electrocardiogram
deep metric learning
k-nearest neighbors classifier
premature ventricular contraction
dimensionality reduction
classifications
Laplacian eigenmaps
locality preserving projections
compressed sensing
convolutional neural network
EEG
epileptic seizure detection
RISC-V
ultra-low-power
sepsis
atrial fibrillation
prediction
heart rate variability
feature extraction
random forest
annotations
myoelectric prosthesis
sEMG
grasp phases analysis
grasp classification
machine learning
electronic nose
liver dysfunction
cirrhosis
semiconductor metal oxide gas sensor
vagus nerve
intraneural
decoding
intrafascicular
recording
carbon nanotube
artificial intelligence
lens-free shadow imaging technique
cell-line analysis
cell signal enhancement
deep learning
ECG signal
reconstruction dictionaries
projection matrices
signal classifications
osteopenia
sarcopenia
XAI
SHAP
IMU
gait analysis
sensors
convolutional neural networks
Parkinson's disease
biomedical monitoring
accelerometer
pressure sensor
disease management
electromyography
correlation
high blood pressure
hypertension
photoplethysmography
electrocardiography
calibration
classification models
COVID-19
ECG trace image
transfer learning
Convolutional Neural Networks (CNN)
feature selection
sympathetic activity (SNA)
skin sympathetic nerve activity (SKNA)
electrodes
electrocardiogram (ECG)
cardiac time interval
dynamic time warping
fiducial point detection
heart failure
seismocardiography
wearable electroencephalography
motor imagery
motor execution
beta rebound
brain-machine interface
EEG classification
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910580203203321
Costin Hariton-Nicolae  
Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multivariate Statistical Analysis in the Real and Complex Domains [[electronic resource] /] / by Arak M. Mathai, Serge B. Provost, Hans J. Haubold
Multivariate Statistical Analysis in the Real and Complex Domains [[electronic resource] /] / by Arak M. Mathai, Serge B. Provost, Hans J. Haubold
Autore Mathai Arak M
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XXVII, 921 p. 3 illus.)
Disciplina 519.5
Soggetto topico Mathematical statistics
Statistics
Multivariate analysis
System theory
Mathematical Statistics
Statistical Theory and Methods
Multivariate Analysis
Complex Systems
Anàlisi multivariable
Soggetto genere / forma Llibres electrònics
Soggetto non controllato multivariate statistical analysis
mathematical statistics
complex domain
matrix-variate
Gaussian distributions
Wishart distribution
type-1 distributions
type-2 distributions
factor analysis
classifications
cluster
profile analyses
ISBN 3-030-95864-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Mathematical Preliminaries -- 2. The Univariate Gaussian and Related Distribution -- 3. Multivariate Gaussian and Related Distributions -- 4. The Matrix-variate Gaussian Distribution -- 5. Matrix-variate Gamma and Beta Distributions -- 6. Hypothesis Testing and Null Distributions -- 7. Rectangular Matrix-variate Distributions -- 8. Distributions of Eigenvalues and Eigenvectors -- 9. Principal Component Analysis -- 10. Canonical Correlation Analysis -- 11. Factor Analysis -- 12. Classification Problems -- 13. Multivariate Analysis of Variance (MANOVA) -- 14. Profile Analysis and Growth Curves -- 15. Cluster Analysis and Correspondence Analysis.
Record Nr. UNISA-996495167003316
Mathai Arak M  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Multivariate Statistical Analysis in the Real and Complex Domains / / by Arak M. Mathai, Serge B. Provost, Hans J. Haubold
Multivariate Statistical Analysis in the Real and Complex Domains / / by Arak M. Mathai, Serge B. Provost, Hans J. Haubold
Autore Mathai Arak M
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham, : Springer Nature, 2022
Descrizione fisica 1 online resource (XXVII, 921 p. 3 illus.)
Disciplina 519.5
519.535
Soggetto topico Mathematical statistics
Statistics
Multivariate analysis
System theory
Mathematical Statistics
Statistical Theory and Methods
Multivariate Analysis
Complex Systems
Anàlisi multivariable
Soggetto genere / forma Llibres electrònics
Soggetto non controllato multivariate statistical analysis
mathematical statistics
complex domain
matrix-variate
Gaussian distributions
Wishart distribution
type-1 distributions
type-2 distributions
factor analysis
classifications
cluster
profile analyses
ISBN 3-030-95864-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Mathematical Preliminaries -- 2. The Univariate Gaussian and Related Distribution -- 3. Multivariate Gaussian and Related Distributions -- 4. The Matrix-variate Gaussian Distribution -- 5. Matrix-variate Gamma and Beta Distributions -- 6. Hypothesis Testing and Null Distributions -- 7. Rectangular Matrix-variate Distributions -- 8. Distributions of Eigenvalues and Eigenvectors -- 9. Principal Component Analysis -- 10. Canonical Correlation Analysis -- 11. Factor Analysis -- 12. Classification Problems -- 13. Multivariate Analysis of Variance (MANOVA) -- 14. Profile Analysis and Growth Curves -- 15. Cluster Analysis and Correspondence Analysis.
Record Nr. UNINA-9910616370003321
Mathai Arak M  
Cham, : Springer Nature, 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui