scholarly journals Predicting Fluid Properties in the MUFITS Reservoir Simulator with User-Supplied Modules

Geofluids ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Andrey Afanasyev ◽  
Ivan Utkin
Keyword(s):  
Phase Equilibria ◽  
Reactive Transport ◽  
Source Code ◽  
Considerable Effort ◽  
Property Prediction ◽  
Energy Minimisation ◽  
Fluid Properties ◽  
Reservoir Simulator ◽  
Software Extension ◽  
Fluid Parameters

We present a recent development of the MUFITS reservoir simulator aiming at modelling the transport of fluids whose properties and phase equilibria are calculated in a user-supplied external shared library. Both the explicit correlations and tabulated data for the fluid parameters can be implemented in the library that we name the EoS-module (Equation of State-module). An iterative approach—which, for example, is based on the phase equilibria calculation through the Gibbs energy minimisation (GEM) method, can also be used in the EoS-module. A considerable effort has been undertaken to minimise the number of program procedures exported by the shared library. This should facilitate and ease the usage of the developed software extension by the scientific community. Furthermore, we supplement the article with the source code of two simple EoS-modules that can serve as templates in other modelling and software development efforts. The EoS-modules are also useful for coupling MUFITS with other elaborate software for fluid property prediction. To demonstrate such a possibility, we supplement the article with the source code of a more complicated EoS-module that couples MUFITS with the geochemical code GEMS3K. This module is used in a simple 1-D benchmark study showing the capabilities of MUFITS for modelling reactive transport in porous media.

Developed Measuring Methods for Hydraulic Fluid Dynamics and Viscosity at Extreme Pressures and Temperatures

2014 ◽  
Author(s):  
J.-P. Karjalainen ◽  
R. Karjalainen ◽  
K. Huhtala
Keyword(s):  
Power Transmission ◽  
Measuring System ◽  
Hydraulic Fluid ◽  
User Friendliness ◽  
Fluid Properties ◽  
Transmission Fluid ◽  
Viscosity Grade ◽  
And Control ◽  
Fluid Parameters ◽  
Fluid Characteristics

Hydraulic fluid is one of the most important components in every fluid power system. Therefore, fluid properties have to be known with a good accuracy in an increasing number of applications, for example in system’s design, modelling and control. The fluid of interest may be a power transmission fluid as well as a fuel. In defining the needed fluid characteristics, the large variety of different fluid types sets many demands for a single measuring system. Moreover, known fluid properties, of fuels in particular, are needed at constantly higher pressures and temperatures, raising the bar for practical measuring concepts — user-friendliness, safety and equipment cost are also essential criteria. In this paper, two accurate, but rather simple and affordable measuring concepts are presented. The speed of sound in a fluid, hydraulic fluid density and adiabatic tangent fluid bulk modulus are all defined with a direct measurement of the pressure wave propagation. The dynamic and kinematic fluid viscosities are defined with a remotely operated, modified falling ball viscometer. Both the presented methods have been developed further from the previously published concepts of the same authors. With these improved systems, all the mentioned fluid parameters can reliably be measured at up to at least 2,500 bar and at up to at least +150°C. Moreover, the same equipment can be applied to any type of hydraulic fluid, a fuel or a power transmission fluid, regardless of the base fluid, additives or viscosity grade. In addition to presenting the measuring concepts and the equipment used in detail, a selected sample of experimental results will also be presented to demonstrate the performance characteristics of the methods.

The Effects of Variable Properties on MHD Flow in Finite Ducts

1970 ◽  
Vol 37 (4) ◽  
pp. 954-958 ◽  
Author(s):  
W. J. Thomson ◽  
G. R. Bopp
Keyword(s):  
Numerical Solutions ◽  
Mhd Flow ◽  
Duct Flow ◽  
Variable Properties ◽  
Temperature Dependent ◽  
Constant Property ◽  
Flow Rates ◽  
Friction Factors ◽  
Fluid Properties ◽  
Fluid Parameters

Numerical solutions are obtained of the coupled partial differential equations which describe variable property MHD flow in finite rectangular ducts. The fluid properties are allowed to vary to the extent that electrical conductivity and viscosity are assumed to be temperature-dependent. It is shown that it is not possible to account for fluid property variations in terms of “weighted” fluid parameters such as average Hartmann numbers. Analysis leads to the conclusion that it is the nature of the current distributions in the duct which is important in predicting the behavior of nonisothermal MHD duct flow. It is possible that this conclusion may aid in the evaluation and correlation of experimental data. It is also shown that consideration of variable fluid properties results in friction factors and flow rates which differ from constant property solutions by as much as a factor of two and by 50 percent, even for small variations.

VIII Ibero-American Conference on Phase Equilibria and Fluid Properties for Process Design

2010 ◽  
Vol 296 (2) ◽  
pp. 73-74
Author(s):  
Alberto Arce ◽  
Esteban A. Brignole ◽  
Eugénia A. Macedo ◽  
Theo W. de Loos
Keyword(s):  
Phase Equilibria ◽  
Process Design ◽  
Fluid Properties

Coupling between Thermo-Hydro-Chemical reactive transport and Gibbs minimisation: magma evolution in evolving multiphase porous media

2020 ◽  
Author(s):  
Annelore Bessat ◽  
Sébastien Pilet ◽  
Stefan M. Schmalholz ◽  
Yuri Podladchikov
Keyword(s):  
Gibbs Energy ◽  
Reactive Transport ◽  
Viscous Medium ◽  
Physical Aspect ◽  
Magma Evolution ◽  
Energy Minimisation ◽  
Transport Code ◽  
Low Degree ◽  
Melt Percolation ◽  
Alkaline Magmas

<p>The formation of alkaline magmas observed worldwide requires that low degree-melts, potentially formed in the asthenosphere, were able to cross the overlying lithosphere. Fracturing in the upper, brittle part of the lithosphere may help to extract this melt to the surface. However, the mechanism of extraction in the lower, ductile part of the lithosphere is still contentious. Metasomatic enrichment of the lithospheric mantle demonstrates that such low-degree melts interact with the lithosphere, but the physical aspect of this process remains unclear. The aim of this study is to better understand the percolation of magma in a porous viscous medium at pressure (P) and temperature (T) conditions relevant for the base of the lithosphere. We study such melt percolation numerically with a Thermo-Hydro-Chemical model of reactive transport coupled with thermodynamic data obtained via Gibbs energy minimisation. We perform Gibbs energy minimisation with Matlab using the linprog algorithm. We start with a simple ternary system of Forsterite/Fayalite/Enstatite solids and melts. All variables are a function of T, P and composition of the system (C), and are computed in both the Gibbs energy minimisation and in the reactive transport code, and can therefore vary freely.</p>

Mixed Convection Flow of Micropolar Fluid in an Open Ended Arc-Shape Cavity

2012 ◽  
Vol 134 (9) ◽  
Author(s):  
M. Saleem ◽  
M. A. Hossain ◽  
Suvash C. Saha
Keyword(s):  
Mixed Convection ◽  
Micropolar Fluid ◽  
Convection Flow ◽  
Mixed Convection Flow ◽  
Fluid Properties ◽  
Arc Shape ◽  
Flow Domain ◽  
Successive Over Relaxation ◽  
Range Of Values ◽  
Fluid Parameters

Numerical simulations for mixed convection flow of micropolar fluid in an open ended arc-shape cavity have been carried out in this study. Computation is performed using the alternate direct implicit (ADI) method together with the successive over relaxation (SOR) technique for the solution of governing partial differential equations. The flow phenomenon is examined for a range of values of Rayleigh number 102 ≤ Ra ≤ 106, Prandtl number 7 ≤ Pr ≤ 50, and Reynolds number 10 ≤ Re ≤ 100. The study is mainly focused on how the micropolar fluid parameters affect the fluid properties in the flow domain. It was found that despite the reduction of flow in the core region, the heat transfer rate increases, whereas the skin friction and microrotation decrease with the increase in the vortex viscosity parameter Δ.

Sign in / Sign up

Export Citation Format

Share Document