Determination of Diffusion Coefficients and Interface Mass-Transfer Coefficients of the Crude Oil−CO2System by Analysis of the Dynamic and Equilibrium Interfacial Tensions

2008 ◽  
Vol 47 (15) ◽  
pp. 5447-5455 ◽  
Author(s):  
Daoyong Yang ◽  
Yongan Gu
Keyword(s):  
Mass Transfer ◽  
Crude Oil ◽  
Diffusion Coefficients ◽  
Transfer Coefficients ◽  
Mass Transfer Coefficients ◽  
Interfacial Tensions ◽  
Interface Mass Transfer

Determination of Gas Diffusion and Interface-Mass Transfer Coefficients for Quiescent Reservoir Liquids

SPE Journal ◽  
2006 ◽  
Vol 11 (01) ◽  
pp. 71-79 ◽  
Author(s):  
Faruk Civan ◽  
Maurice L. Rasmussen
Keyword(s):  
Experimental Data ◽  
Mass Transfer ◽  
Gas Diffusion ◽  
Drilling Mud ◽  
Transfer Coefficients ◽  
Mass Transfer Coefficients ◽  
Gas Diffusivity ◽  
Completion Fluids ◽  
Interface Mass Transfer

Summary A physically and mathematically rigorous transient-state equilibrium diffusion model is applied for simultaneous determination of the gas-diffusion and interface-mass-transfer coefficients from pressure de-cline by dissolution of gas in quiescent liquids involving petroleum reservoirs. The short- and long-time analytical solutions of this model are reformulated to enable direct determination of the best-estimate values of these parameters by regression of experimental data. Typical experimental data are then analyzed by means of the present improved methods, and the values obtained are compared with the re-ported values. The present methodology is proven practical and yields unique and accurate parameter values. Introduction Gas-diffusivity and interface-mass-transfer coefficients are important parameters determining the rate of dissolution of the injection gases in oil during secondary recovery, and the rate of dissolution and separation of light gases in reservoir oil and brine, water tables associated with depleted-reservoir gas storage, drilling mud, and completion fluids (Hill and Lacey 1934; O'Bryan et al. 1988; O'Bryan and Bourgoyne 1990; Bodwadkar and Chenevert 1997; Bradley et al. 2002; Liu and Civan 2005). In order to develop proper gas-injection strategies, accurate values of these parameters are required for reservoir simulation and prediction of oil recovery by miscible flooding and the optimization of miscibility for best recovery. Laboratory measurement of gas diffusivity in quiescent liquids is usually accomplished through the measurement of the pressure of gas in contact with certain liquids, such as oil, brine, drilling mud, and completion fluids in a closed PVT cell (see Fig. 1) during gas dissolution in the liquid phase. The accuracies of the available models, including those by Riazi (1996), Sachs (1997, 1998), and Zhang et al. (2000), are limited by the inherent simplifying assumptions involved in the analytic treatment and the subsequent interpretation of such experimental data. As judged by the reported studies, there appears to be no consensus among the available analytical approaches used for diffusivity measurement. In addition, the previous studies focused mostly on the determination of gas diffusivity and did not account for interface-mass-transfer effects. The methodology offered by Civan and Rasmussen (2001, 2002, 2003), and further elaborated in the present paper, allows for both interface mass-transfer effects and for bulk diffusivity. It is a novel and practical approach that determines parameters describing both effects from a given set of pressure-decline data. The best estimate of the coefficient of diffusion of gas species (solute) in a given liquid medium (solvent) is usually inferred indirectly by matching the prediction of a suitable mathematical model involving the species transfer by diffusion to experimental data under prescribed conditions. For this purpose, Sachs (1998) resorts to the numerical solution of the nonlinear model equations incorporating the dependency of the diffusion coefficient on concentration without clearly describing the boundary conditions used in the solution.

Application of genetic algorithm for determination of mass transfer coefficients

2000 ◽  
Vol 216 (1-4) ◽  
pp. 475-482 ◽  
Author(s):  
Ömer Şahin ◽  
Perviz Sayan ◽  
A. Nusret Bulutcu
Keyword(s):  
Genetic Algorithm ◽  
Mass Transfer ◽  
Transfer Coefficients ◽  
Mass Transfer Coefficients

Determination of mass-transfer coefficients

1972 ◽  
Vol 22 (2) ◽  
pp. 238-240 ◽  
Author(s):  
G. I. Bobrova ◽  
M. A. Bukhtilova
Keyword(s):  
Mass Transfer ◽  
Transfer Coefficients ◽  
Mass Transfer Coefficients
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