Prediction of Weight Percentage Alumina and Pore Volume Fraction in Bio-Ceramics Using Gaussian Process Regression and Minimax Probability Machine Regression

2018 ◽  
Vol 5 (5) ◽  
pp. 12233-12239
Author(s):  
K.G.S. Gopinath ◽  
Soumen Pal ◽  
Pankaj Tambe
Keyword(s):  
Gaussian Process ◽  
Pore Volume ◽  
Volume Fraction ◽  
Gaussian Process Regression ◽  
Weight Percentage ◽  
Pore Volume Fraction ◽  
Minimax Probability Machine Regression ◽  
Minimax Probability Machine

Estimation of porosity, fluid bulk modulus, and stiff-pore volume fraction using a multi-trace Bayesian AVO petrophysics inversion in multi-porosity reservoirs

Geophysics ◽  
2021 ◽  
pp. 1-101
Author(s):  
Kun Li ◽  
Xingyao Yin ◽  
Zhaoyun Zong ◽  
Dario Grana
Keyword(s):  
Bulk Modulus ◽  
Pore Volume ◽  
Elastic Moduli ◽  
Wave Reflection ◽  
Volume Fraction ◽  
Inversion Method ◽  
Reservoir Properties ◽  
Pore Volume Fraction ◽  
Pp Wave ◽  
Matrix Shear

The estimation of petrophysical and fluid-filling properties of subsurface reservoirs from seismic data is a crucial component of reservoir characterization. Seismic amplitude variation with offset (AVO) inversion driven by rock physics is an effective approach to characterize reservoir properties. Generally, PP-wave reflection coefficients, elastic moduli and petrophysical parameters are nonlinearly coupled, especially in the multiple type pore-space reservoirs, which makes seismic AVO petrophysics inversion ill-posed. We propose a new approach that combines Biot-Gassmann’s poro-elasticity theory with Russell’s linear AVO approximation, to estimate the reservoir properties including elastic moduli and petrophysical parameters based on multi-trace probabilistic AVO inversion algorithm. We first derive a novel PP-wave reflection coefficient formulation in terms of porosity, stiff-pore volume fraction, rock matrix shear modulus, and fluid bulk modulus to incorporate the effect of pore structures on elastic moduli by considering the soft and stiff pores with different aspect ratios in sandstone reservoirs. Through the analysis of the four types of PP-wave reflection coefficients, the approximation accuracy and inversion feasibility of the derived formulation are verified. The proposed stochastic inversion method aims to predict the posterior probability density function in a Bayesian setting according to a prior Laplace distribution with vertical correlation and prior Gaussian distribution with lateral correlation of model parameters. A Metropolis-Hastings stochastic sampling algorithm with multiple Markov chains is developed to simulate the posterior models of porosity, stiff-pore volume fraction, rock-matrix shear modulus, and fluid bulk modulus from seismic AVO gathers. The applicability and validity of the proposed inversion method is illustrated with synthetic examples and a real data application.

Determination of Work Zone Capacity Using ELM, MPMR and GPR

2016 ◽  
pp. 93-111 ◽  
Author(s):  
Sangeeta Roy ◽  
J. Jagan ◽  
Pijush Samui
Keyword(s):  
Data Distribution ◽  
Gaussian Process Regression ◽  
Parametric Model ◽  
Work Zone ◽  
Work Intensity ◽  
Lane Width ◽  
Minimax Probability Machine Regression ◽  
Minimax Probability Machine ◽  
Learning Machine

This article examines the capability of Extreme Learning Machine (ELM), Minimax Probability Machine Regression (MPMR) and Gaussian Process Regression (GPR) for determination of Work Zone Capacity. Number of lanes, number of open lanes, work zone layout, length, lane width, percentage trucks, grade, speed, work intensity, darkness factor, and proximity of ramps have been adopted as inputs of ELM, MPMR and GPR. ELM has excellent generalization performance, rapid training speed and little human intervention. MPMR is developed based on the concept of minimax probability machine classification. It does not assume any data distribution. GPR is a probabilistic, and non-parametric model. In GPR, different kinds of prior knowledge can be applied. This article describes a comparative study between the ELM, MPMR and GPR models.

Effect of the pore volume fraction on the thermal conductivity and mechanical properties of kaolin-based foams

2013 ◽  
Vol 33 (9) ◽  
pp. 1487-1495 ◽  
Author(s):  
J. Bourret ◽  
N. Tessier-Doyen ◽  
B. Naït-Ali ◽  
F. Pennec ◽  
A. Alzina ◽  
...  
Keyword(s):  
Mechanical Properties ◽  
Thermal Conductivity ◽  
Pore Volume ◽  
Volume Fraction ◽  
Pore Volume Fraction

Instrumented Microindentation of Nanoporous Alumina Films

2005 ◽  
Vol 128 (2) ◽  
pp. 225-233 ◽  
Author(s):  
Ken Gall ◽  
Yiping Liu ◽  
Dmitri Routkevitch ◽  
Dudley S. Finch
Keyword(s):  
Thin Films ◽  
Pore Volume ◽  
Volume Fraction ◽  
Hertzian Contact ◽  
Porous Solids ◽  
Nanoporous Structure ◽  
Nanoporous Films ◽  
Pore Volume Fraction ◽  
Spherical Ball ◽  
Depth Response

We examine the mechanical behavior of anodic alumina thin films with organized nanometer-scale porosity. The cylindrical pores in the alumina film are arranged perpendicular to the film thickness in a near-perfect triangular lattice. The films used in this work had pore diameters ranging from 35 to 75nm, and volume fractions ranging from 10% to 45%. Films with both amorphous and crystalline structures were considered. Mechanical properties of the thin films were studied using an instrumented indentor to measure the force-depth response of the films during indentation or the force-deflection response of micromachined beams in bending. The films showed increasing hardness/modulus with a decrease in pore volume fraction or transformation from amorphous to a polycrystalline alpha-alumina phase. The asymmetric films show higher hardness and modulus on their barrier side (with closed pores) relative to their open pore side. The force-depth response, measured with a spherical ball indentor, demonstrates fairly good agreement with an elastic Hertzian contact solution. The force-depth response, measured with a sharp Vickers indentor, shows an elastoplastic response. Microcracking at the corners of sharp indentations was not observed in amorphous nanoporous films, and rarely in harder, crystalline nanoporous films. High-resolution scanning electron microscopy revealed a collapse of the nanoporous structure beneath the indentor tip during sharp indentation. The results are discussed in light of continuum-based models for the elastic properties of porous solids. In general, the models are not capable of predicting the change in modulus of the films, given pore volume fraction and the properties of bulk crystalline alumina.

Effect of the Pore Formation on the Solution Flow through Acrylamide Gel

1999 ◽  
Vol 600 ◽  
Author(s):  
H. Tamagawa ◽  
S. Popovic ◽  
M. Taya
Keyword(s):  
Flow Rate ◽  
Pore Volume ◽  
Pore Formation ◽  
Volume Fraction ◽  
Synthesis Method ◽  
Solution Flow Rate ◽  
Gelation Temperature ◽  
Solution Flow ◽  
Pore Volume Fraction ◽  
Flow Through

AbstractA simple synthesis method of porous acrylamide gel is proposed. Pore formation in gel body is dominated by the amount of polymerization initiator, accelerator and gelation temperature. We investigated the influence of these factors on the number and the size of pores. Gelation temperature control is the easiest and the most effective way to create a number of large pores in a gel body. We also investigated the pore volume fraction dependence of solution flow through the gels. Solution flow rate was found to be promoted with the increase of pore volume fraction.

scholarly journals Effect of Pip Cycles on Fracture Behaviour in Unidirectional SiC Fibre-Reinforced SiC Matrix Composite

1999 ◽  
Vol 8 (3) ◽  
pp. 096369359900800 ◽  
Author(s):  
H. Kakisawa ◽  
Y. Kagawa ◽  
M. Takeda ◽  
Y. Imai ◽  
H. Ichikawa
Keyword(s):  
Tensile Strength ◽  
Matrix Composite ◽  
Fracture Mode ◽  
Pore Volume ◽  
Volume Fraction ◽  
Fracture Behaviour ◽  
Shear Fracture ◽  
Pore Volume Fraction ◽  
Point Bend ◽  
Polymer Infiltration

The effect of pore volume fraction in unidirectional SiC fibre (Nicalon™)-reinforced SiC matrix composite fabricated by polymer infiltration pyrolysis (PIP) process on three-point bend fracture behaviour has been studied. The pore volume fraction, f u, is varied by changing the number of PIP cycles, N. Results shows that the shear fracture mode is dominant at f u ≥ 0.36 and the strength increased with the decrease of f u. On the other hand, the tensile mode was dominant at f u ≤ 0.17 and the tensile strength was independent of fu. Transition of the fracture mode occurred when the ratio of shear strength to constant tensile strength was reached ≈ 1/30.

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