Gas Bubble Nucleation of Extraheavy Oils in Porous Media: A New Computerized Tomography Technique and Physical Approach

2007 ◽  
Author(s):  
Vincent Meyer ◽  
Jonathan Pilliez ◽  
Patrice Creux ◽  
Alain Graciaa ◽  
Francis Luck ◽  
...  
Keyword(s):  
Porous Media ◽  
Computerized Tomography ◽  
Bubble Nucleation ◽  
Gas Bubble ◽  
Physical Approach

Testing a simple model of gas bubble dynamics in porous media

2015 ◽  
Vol 51 (2) ◽  
pp. 1036-1049 ◽  
Author(s):  
Jorge A. Ramirez ◽  
Andy J. Baird ◽  
Tom J. Coulthard ◽  
J. Michael Waddington
Keyword(s):  
Porous Media ◽  
Simple Model ◽  
Bubble Dynamics ◽  
Gas Bubble

scholarly journals STEAM LASER CLEANING OF SILICON SURFACES: LASER-INDUCED GAS BUBBLE NUCLEATION AND EFFICIENCY MEASUREMENTS

2002 ◽  
pp. 255-310 ◽  
Author(s):  
P. Leiderer ◽  
M. Mosbacher ◽  
V. Dobler ◽  
A. Schilling ◽  
O. Yavas ◽  
...  
Keyword(s):  
Bubble Nucleation ◽  
Laser Cleaning ◽  
Silicon Surfaces ◽  
Gas Bubble

Modeling Foam Displacement with the Local-Equilibrium Approximation: Theory and Experimental Verification

SPE Journal ◽  
2010 ◽  
Vol 15 (01) ◽  
pp. 171-183 ◽  
Author(s):  
Q.. Chen ◽  
M.G.. G. Gerritsen ◽  
A.R.. R. Kovscek
Keyword(s):  
Porous Media ◽  
Local Equilibrium ◽  
Population Balance ◽  
Entrance Region ◽  
Balance Model ◽  
Population Balance Model ◽  
Gas Bubble ◽  
Foam Generation ◽  
Foam Model ◽  
Bubble Sizes

Summary The gas-mobility-control aspects of foamed gas make it highly applicable for improved oil recovery. Gas-bubble size, often referred to as foam texture, determines gas-flow behavior in porous media. A population-balance model has been developed previously for modeling foam texture and flow in porous media. The model incorporates pore-level mechanisms of foam-bubble generation, coalescence, and transport. Here, we propose a simplified foam model to reduce computational costs. The formulation is based on the assumption of local equilibrium of foam generation and coalescence and is applicable to high- and low-quality foams. The proposed foam model is compatible with a standard reservoir simulator. It provides a potentially useful, efficient tool to predict foam flows accurately at the field scale for designing and managing foamed-gas applications. There are three main contributions of this paper. First, foam-displacement experiments in a linear sandstone core are conducted. A visualization cell is employed to measure the effluent foam-bubble sizes for a transient flow as well as to estimate the in-situ foam-bubble sizes along the length of the core during steady-state flow. These appear to be the first measurements of foam-bubble texture in the entrance region of a core. Additionally, the evolution of aqueous-phase saturation is monitored using X-ray computed tomography (CT), and the pressure profile is measured by a series of pressure taps. Second, the population-balance representation of foam generation by gas-bubble snap-off is modified to extend the capability of the population-balance approach to predict foam-flow behaviors in both the so-called high-quality and low-quality regimes. Third, a simplified population-balance model is developed and implemented with the local-equilibrium approximation. Good agreement is found between the experimental results and the predictions of the simplified model, with a minor mismatch in the entrance region.

Gas bubble nucleation kinetics in a live heavy oil

2001 ◽  
Vol 192 (1-3) ◽  
pp. 25-38 ◽  
Author(s):  
D.A. Lillico ◽  
A.J. Babchin ◽  
W.E. Jossy ◽  
R.P. Sawatzky ◽  
J.-Y. Yuan
Keyword(s):  
Heavy Oil ◽  
Bubble Nucleation ◽  
Gas Bubble ◽  
Nucleation Kinetics

Gas bubble nucleation during crystallization

1973 ◽  
Vol 19 (4) ◽  
pp. 221-228 ◽  
Author(s):  
William R. Wilcox ◽  
Vincent H.S. Kuo
Keyword(s):  
Bubble Nucleation ◽  
Gas Bubble

Electrochemistry of single nanobubbles. Estimating the critical size of bubble-forming nuclei for gas-evolving electrode reactions

2016 ◽  
Vol 193 ◽  
pp. 223-240 ◽  
Author(s):  
Sean R. German ◽  
Martin A. Edwards ◽  
Qianjin Chen ◽  
Yuwen Liu ◽  
Long Luo ◽  
...  
Keyword(s):  
Critical Size ◽  
Bubble Formation ◽  
Water Electrolysis ◽  
Surface Concentration ◽  
Bubble Nucleation ◽  
Critical Surface ◽  
Gas Bubble ◽  
Dissolved Gas ◽  
Stochastic Fluctuations ◽  
Gas Molecules

In this article, we address the fundamental question: “What is the critical size of a single cluster of gas molecules that grows and becomes a stable (or continuously growing) gas bubble during gas evolving reactions?” Electrochemical reactions that produce dissolved gas molecules are ubiquitous in electrochemical technologies, e.g., water electrolysis, photoelectrochemistry, chlorine production, corrosion, and often lead to the formation of gaseous bubbles. Herein, we demonstrate that electrochemical measurements of the dissolved gas concentration, at the instant prior to nucleation of an individual nanobubble of H2, N2, or O2 at a Pt nanodisk electrode, can be analyzed using classical thermodynamic relationships (Henry's law and the Young–Laplace equation – including non-ideal corrections) to provide an estimate of the size of the gas bubble nucleus that grows into a stable bubble. We further demonstrate that this critical nucleus size is independent of the radius of the Pt nanodisk employed (<100 nm radius), and weakly dependent on the nature of the gas. For example, the measured critical surface concentration of H2 of ∼0.23 M at the instant of bubble formation corresponds to a critical H2 nucleus that has a radius of ∼3.6 nm, an internal pressure of ∼350 atm, and contains ∼1700 H2 molecules. The data are consistent with stochastic fluctuations in the density of dissolved gas, at or near the Pt/solution interface, controlling the rate of bubble nucleation. We discuss the growth of the nucleus as a diffusion-limited process and how that process is affected by proximity to an electrode producing ∼1011 gas molecules per second. Our study demonstrates the advantages of studying a single-entity, i.e., an individual nanobubble, in understanding and quantifying complex physicochemical phenomena.

QUANTIFICATION OF POROUS MEDIA USING COMPUTERIZED TOMOGRAPHY AND A STATISTICAL SEGREGATION THRESHOLD

1998 ◽  
Vol 41 (6) ◽  
pp. 1697-1706 ◽  
Author(s):  
H.-T. Hsieh ◽  
G. O. Brown ◽  
M. L. Stone
Keyword(s):  
Porous Media ◽  
Computerized Tomography
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