Steam injection into water-saturated porous rock

Bruining, J.; Duijn, C.J. van; Marchesin, D.

doi:10.1590/s1807-03022003000300004

Cited by 5 publications

(14 citation statements)

References 7 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An accurate description of this flow can be found in Bruining et al (2004). For simplicity, we describe liquid flow under the good approximation that thermal expansivity of water is negligible (the same is true for rock).…”

Section: Single Phase Liquid Flowmentioning

confidence: 99%

See 1 more Smart Citation

Analysis of Nitrogen and Steam Injection in a Porous Medium with Water

Bruining¹,

Marchesin

2006

Transp Porous Med

Self Cite

View full text Add to dashboard Cite

We formulate conservation laws governing steam and nitrogen injection in a one-dimensional porous medium containing water. Compressibility, heat conductivity and capillarity are neglected. We study the condensation front and shock waves arising in the flow. We find that there are four possible types of solutions for the initial and boundary conditions of interest. We describe a simple construction in the temperature saturation plane that determines the complete solution for the given conditions. Applications of the theory developed here are in clean up of soil contaminated with nonaqueous phase liquids. We show that a substantial cold gaseous zone develops in all solutions of practical interest, thus counteracting downward migration of the pollutant.

show abstract

Section: Single Phase Liquid Flowmentioning

confidence: 99%

“…We also ignore the temperature dependence of the water and rock heat capacities per unit volume C W , C r and disregard liquid water and rock expansivity, so that the wave of interest in the water becomes a thermal contact discontinuity (Bruining et al, 2004).…”

Section: Single Phase Liquid Flowmentioning

confidence: 99%

Analysis of Nitrogen and Steam Injection in a Porous Medium with Water

Bruining¹,

Marchesin

2006

Transp Porous Med

Self Cite

View full text Add to dashboard Cite

show abstract

“…Therefore, the effect of pressure variations in thermodynamic properties is not important (Wingard and Orr, 1994;Bruining et al, 2002).…”

Section: Physical Model For Gas Injectionmentioning

confidence: 99%

“…Equation (18) describes the water saturation profile for the transitional wave with velocity given by equation (14).…”

Section: Mathematical Model For Gas Injectionmentioning

confidence: 99%

“…The numerical solution gives faster vaporization than that measured experimentally. Since the numerical solution and the traveling wave solution were validated previously, this suggests that the discrepancy is caused by the C wg values used in the different solutions, which directly affects the velocity of the vaporization front as stated by equation (14). and + wg C because of interfacial effects.…”

Section: S Wimentioning

confidence: 99%

See 1 more Smart Citation

Modeling of Experiments on Water Vaporization for Gas Injection

Elizabeth¹,

Lake²

2004

Proceedings of SPE Eastern Regional Meeting

View full text Add to dashboard Cite

TX 75083-3836, U.S.A., fax 01-972-952-9435. AbstractDry gas injected into wells will vaporize water from the near wellbore zone. The vaporization starts from the well and proceeds outward. Gas flowing to producers is in equilibrium with the reservoir brine, but water will be vaporized because the pressure drop that occurs toward the wellbore increases the ability of the gas to contain water. Thus, there are different mechanisms for injection and production.For both injection and production, vaporization concentrates solids in the brine. When sufficiently concentrated, minerals will precipitate into the formation. This paper reports on a combined experimental and theoretical analysis on the vaporization portion of this problem for dry gas injection.Experiments have been performed previously to determine the rate of water vaporization from Berea core samples at uniform initial water saturation (Zuluaga and Monsalve, 2003). The experiments were performed by injecting dry methane into core samples that contained immobile water. This would represent water vaporization in a gas injector.Effluent water concentration curves showed two vaporization periods: A constant rate period and a falling rate period. The existence of a constant rate period means that the mass transfer within the core is occurring at conditions of local equilibrium. We interpret the falling rate period as the result of a moving capillary transition zone in which the amount of water vaporized decreases slowly because of capillary pressure effects.We interpret the vaporization results with two traveling wave solutions. The first, which can be solved analytically, assumes that the capillary diffusion coefficient, D, the volume fraction of water in the gas phase, C wg , and the volume fraction of water in the water phase C ww are constant. For this case, the results of the traveling wave are optimized with the capillary diffusion coefficient D to match the laboratory experiments. The second traveling wave solution must be solved through numerical integration. In this case, the capillary pressure and relative permeability scaling exponents are fitted to match the laboratory experiments. The fitting provides insights into the nature of wetting phase flow at small saturation.

show abstract

Mixture design of experiments on portfolio optimisation of power generation

Monticeli

Balestrassi

Souza

et al. 2017

IET Generation, Transmission & Distribution

View full text Add to dashboard Cite

A methodology for obtaining an optimal portfolio for the generation of electricity at the lowest cost and risk is proposed. This methodology uses a mixture design of experiments (MDEs) as a strategy for building nonlinear models of risk and cost in portfolio optimisation for the generation of electricity. The result is compared with the traditional theory of Markowitz mean-variance (MVP). The following characteristics are also presented in this study: the seasonality and volatility of the time series were manipulated using moving windows and computational replicas in MDE; desirability functions were used to optimise multiple variables, leading to lower cost and risk; Shannon entropy index was used to handle better portfolio diversification. A case study based on the energy market of the state of California was used to illustrate the proposal. The results show that this methodology facilitates decision making.

show abstract

Steam injection into water-saturated porous rock

Cited by 5 publications

References 7 publications

Analysis of Nitrogen and Steam Injection in a Porous Medium with Water

Analysis of Nitrogen and Steam Injection in a Porous Medium with Water

Modeling of Experiments on Water Vaporization for Gas Injection

Mixture design of experiments on portfolio optimisation of power generation

Contact Info

Product

Resources

About