... into the mixing of CO 2 and methane in a gas reservoir at different reservoir and operational conditions. We first analyze a stratified layer model to understand the basic mechanisms of scale-dependency of dispersion and the significance of reservoir heterogeneity on fluid mixing. To consider more realistic...

... Abstract In this work, the dispersion coefficient of solvent in heavy oil/bitumen is innovatively determined by employing an inverse approach to accurately reproduce the measured temperature, pressure, and production profiles in a heated vapour extraction (H-VAPEX) process, thereby...

... leads to contamination and subsequent loss of hydrogen. Hydrodynamic dispersion is an important driving mechanism for gas mixing during cyclic hydrogen injection/withdrawal. Accordingly, we investigate the mixing dynamics of hydrogen, cushion gas, in-situ gas, hydrodynamic dispersion, and formation...

... causing its consumption and modifying the geochemical environment of a UHS system ( Panfilov, 2016 ) (Zivar et al., 2020). Furthermore, the mixing between hydrogen and the original gas, due to diffusive and dispersive phenomena at different scales, affects the purity of the produced gas stream...

... recovery factor at CO 2 breakthrough depends on both molecular diffusion and dispersivity related to reservoir heterogeneity. Continued production at constant methane rate enables additional blue hydrogen generation while increasing CO 2 flow through the reservoir under declining average reservoir...

... mechanisms in these processes (diffusion, dispersion, advection and capillary pressure) were examined within the context of the derived scaling groups using reservoir simulation of SBH at three different geometric scales, ranging from the laboratory scale through a semi-field scale to the field scale...

... Abstract Dispersion is the irreversible mixing that occurs during miscible displacements. Dispersion can reduce local displacement efficiency by lessening solvent peak concentration or increase volumetric sweep efficiency by spreading of the injected solvent to more of the reservoir. Dispersion...

... This section presents the analytical model used in fitting local concentrations to estimate the longitudinal and transverse dispersivity. The analytical model is validated using known input for a homogeneous model. Analytical Model Abstract Dispersion (or local mixing) degrades...

... Abstract Inaccurate modeling of reservoir mixing by using large grid blocks in compositional simulation can significantly affect recoveries in miscible gas floods and lead to inaccurate predictions of recovery performance. Reservoir mixing or dispersion is caused by diffusion of particles...

... processes such as enriched gas drives and groundwater remediation efforts like soil venting operations depend on the amount of hydrodynamic dispersion of such rocks. Selecting a representative scale to measure permeability and dispersivity in such rocks can be crucial because the connected vug lengths can...

... by using many grains in different arrangements. We consider both slug, continuous, and partial injection as well as echo tests (single-well tracer tests) and transmission tests (interwell tracer tests). We match the concentrations from the pore-scale simulations to the analytical convection dispersion...

.... Understanding of the oil/water inflow to wells and possible improvement of its simulation is the objective of this study. Current commercial simulators disregard the effect of dispersion due to high flow velocity. They only consider effects of viscous and gravity forces, capillary pressure and sometimes Non...

... are used, care must be taken in representing mixing appropriately in interpreting data and in constructing models. The use of numerical dispersion to represent physical dispersion in 1D, radial and pattern simulations of this process is demonstrated, i.e. coarse simulations are shown to give the same...

...Assumptions, Definitions, and Methods Several studies 1 , 10 , 11 use zero input dispersivities when numerically simulating heterogeneous systems for the purpose of generating apparent dispersivities. These results reflect only conformance and any numerical dispersion present...

... flood flow in porous media enhanced recovery dispersivity dispersion physical dispersion oil saturation injector permeability gas flood upstream oil & gas hcpvi intermediate component simulation reservoir gas injection method fluid dynamics displacement mechanism ratio...

.... Multiple contact mixing cell models show that continued enrichment above MME increases the effectiveness of both the condensing and vaporizing behaviors in the development of miscibility. In systems that are effectively non-dispersive, such as laboratory slimtube experiments, enrichment above MME has...

... simulations for 5 type-pattern models (TPM's) of the Prudhoe Bay Miscible Gas Project. The EOR oil recoveries, calculated by fine-grid EOS compositional simulations, for the 5 TPM's are shown to correlate consistently with the effective macro-dispersivity determined through the analytical one-dimension...

... Abstract Physical dispersion is one of the main mechanisms responsible for controlling the gas-oil mixing that occurs in a miscible flood process. Many conventional reservoir simulators do not explicitly account for the physical dispersion and presume that it may be compensated by numerical...

... A big problem concerning the comparison of data is the definition of the dispersion coefficient. In most articles the following relation is used: (1) D l = D m τ + α U β , where D l is the longitudinal dispersion coefficient, D m the molecular diffusion...

... or dispersion, which is artificial and non-physical, may dwarf the mixing from physical mechanisms and cause an unrealistic prediction of the effect of continued gas enrichment on additional recovery even if physical mechanisms such as molecular diffusion and dispersion are accounted for in the formulation...