A coarse-scale compositional model

Iranshahr, Alireza; Chen, Yuguang; Voskov, Denis

doi:10.1007/s10596-014-9427-x

Cited by 25 publications

(13 citation statements)

References 35 publications

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“…But unlike the previous case, here the quantity that is being averaged out is the molar volume [2] of each component and the corresponding phases present, refer equ. (3.16)-(3.18).…”

Section: Compositional Averagingmentioning

confidence: 99%

“…For a compositional transport problem, previous studies were generally based on use of transport coefficients, computed for each components and in each phases to capture the average fine scale fluxes [23] & [17]. Recently, a new approach, based on non-equilibrium thermodynamic representation at coarse scale, was proposed and tested [2]. The non-equilibrium behavior is modeled based on upscaled thermodynamic functions, which in turn is described based on the difference in component fugacities.…”

Section: Introductionmentioning

confidence: 99%

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Multiscale Reconstruction Of Compositional Transport

2018

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“…But unlike the previous case, here the quantity that is being averaged out is the molar volume [2] of each component and the corresponding phases present, refer equ. (3.16)-(3.18).…”

Section: Compositional Averagingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Multiscale Reconstruction Of Compositional Transport

2018

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“…4.5, it is clear that the production dynamic for the 270 grid blocks model starts deviating from the fine grid simulation. Here, chemical interactions at a coarser scale of representation increase the mismatch in the simulation results usually associated with a coarser thermodynamic representation (Iranshahr et al, 2014).…”

Section: Coarsening In Spacementioning

confidence: 99%

Hierarchical Coarsening of Simulation Model for In-Situ Upgrading Process

Fucinos

Voskov

Burnham

2017

Day 1 Mon, February 20, 2017

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Faculty of Civil Engineering and Geosciences Department of Geosciences and Engineering Master of ScienceHierarchical coarsening of simulation model for in-situ upgrading process by Raul Fucinos M.Oil shales are sedimentary rocks containing organic matter in the form of kerogen which accounts for more than 5 trillion barrels of oil in place according to Birol, 2010; therefore, oil shales represents a plausible solution for the constantly increasing demand for hydrocarbons. Oil shale production is currently done using two different techniques, surface retorting and in-situ retorting. The last one being the focus of this study. During this process, the sedimentary rock containing the kerogen is brought into a high-temperature environment with oxygen deficit. At this stage, the organic matter is subject to a thermo-chemical decomposition that finally releases the hydrocarbon in liquid and gas forms. This process is also known as pyrolysis. During this process, solid and fluid components experience compositional and physical changes, which requires complex chemical models represented by multiple species and several governing relations.In this work, we first developed a numerical solver for closed systems with simple kinetics models. This initial work allowed us to analyze the dynamic behavior of each component during the chemical decomposition of the kerogen and its impact in the porosity of the system. Then, we described an accurate base model for chemical decomposition of kerogen. This model was then implemented in our inhouse simulator ADGPRS. The model is based on the most recent understanding of pyrolysis process, and it incorporates coupling of chemical kinetics to heat and mass transport. Due to the high number of species, variations of porosity as consequence of the transformation of solid species into fluid products and complex multi-scale structure of porous media, the simulation performance of the high-fidelity model is limited. Therefore, in the second step of this work, we introduce a hierarchy of coarser models to improve the run-time of forward solution without significant reduction in accuracy. We applied coarsening in time, space, and chemical representation, and quantify errors introduced at each coarsening level. In conclusion, we provided recommendations for large-scale modeling of in-situ upgrading process. v

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“…In addition to upscaling methods based on tuning parameters, such as the well-known method of alpha-factors [4,5,29], two thermodynamically-consistent procedures were independently presented in [19,33]. Further progress was reported in [16,17]. Both procedures are thermodynamically-consistent and based on similar modifications to the flash problem formulation as far as upscaling is considered.…”

Section: Introductionmentioning

confidence: 99%

Non-Equilibrium Phase Behavior of Hydrocarbons in Compositional Simulations and Upscaling

Indrupskiy¹,

Lobanova²,

Zubov³

2017

Preprint

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Numerical models widely used for hydrocarbon phase behavior and compositional flow simulations are based on assumption of thermodynamic equilibrium. However, it is not uncommon for oil and gas-condensate reservoirs to exhibit essentially non-equilibrium phase behavior, e.g., in the processes of secondary recovery after pressure depletion below saturation pressure, or during gas injection, or for condensate evaporation at low pressures. In many cases the ability to match field data with equilibrium model depends on simulation scale. The only method to account for non-equilibrium phase behavior adopted by the majority of flow simulators is the option of limited rate of gas dissolution (condensate evaporation) in black oil models. For compositional simulations no practical yet thermodynamically consistent method has been presented so far except for some upscaling techniques in gas injection problems. Previously reported academic non-equilibrium formulations have a common drawback of doubling the number of flow equations and unknowns compared to the equilibrium formulation. In the paper a unified thermodynamically-consistent formulation for compositional flow simulations with nonequilibrium phase behavior model is presented. Same formulation and a special scale-up technique can be used for upscaling of an equilibrium or non-equilibrium model to a coarse-scale non-equilibrium model. A number of test cases for real oil and gas-condensate mixtures are given. Model implementation specifics in a flow simulator are discussed and illustrated with test simulations. A non-equilibrium constant volume depletion algorithm is presented to simulate condensate recovery at low pressures in gas-condensate reservoirs. Results of satisfactory model matching to field data are reported and discussed.

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A coarse-scale compositional model

Cited by 25 publications

References 35 publications

Multiscale Reconstruction Of Compositional Transport

Multiscale Reconstruction Of Compositional Transport

Hierarchical Coarsening of Simulation Model for In-Situ Upgrading Process

Non-Equilibrium Phase Behavior of Hydrocarbons in Compositional Simulations and Upscaling

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