Modification of the Kozeny-Carman Equation To Quantify Formation Damage by Fines in Clean, Unconsolidated Porous Media

Krauss, Eva D.; Mays, D. C.

doi:10.2118/165148-pa

Cited by 23 publications

(5 citation statements)

References 21 publications

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“…In addition to this, dynamically changing permeability, tortuosity, and composite thermal conductivity are accounted in the numerical model, so that we can accurately simulate the flow of heat and fluid with changing porosity. Kozeny-Carman equation and Millington-Quirk equation are used for porosity-dependent permeability and tortuosity, respectively (Krauss and Mays, 2014;Millington and Quirk, 1961). The computation of composite thermal conductivity is covered in section 3.2.…”

Section: Reactionsmentioning

confidence: 99%

Estimating the reaction parameters of oil shale pyrolysis and oil shale grade using temperature transient analysis and inverse modeling

Lee

Finsterle²,

Moridis

2018

Journal of Petroleum Science and Engineering

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Grade of oil shale and reaction parameters of in-situ pyrolysismust be identified for the prediction of productivity before actual heating and production. Identification of oil shale grade and reaction parameters depends on laboratory experimentson core samples. However, laboratory-determined parameters can be different from those representing in-situ reservoir conditions. In this study, we use inverse modeling to determine oil shale grade and reaction parameters. The inversions are based on a forward model that simulates heat injection into a well. Temperature at the heating well is affected by a thermal skin effect as a result of a decrease of composite thermal conductivity around the heater due to the decompositioninduced porosity increase. Synthetic observations of heater temperature are generated from a forward simulation. Temperature difference and its derivative are used in synthetic inversions to estimate oil shale grade and parameters of active decomposition reactions with an error below 1%. The proposed methodology of inverse modeling is expected to successfully estimate the oil shale grade and reaction parameters without core sampling and subsequent surface experiments.

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Section: Reactionsmentioning

confidence: 99%

Estimating the reaction parameters of oil shale pyrolysis and oil shale grade using temperature transient analysis and inverse modeling

Lee

Finsterle²,

Moridis

2018

Journal of Petroleum Science and Engineering

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“…It has been known for some time that the introduction or mobilization of fine particles in soils with diameters between 10 –9 and 10 –5 m (i.e., colloidal particles) can cause large reductions in soil permeability . However, the relationships between the colloidal properties of soil fines, the mechanism of permeability change, and soil function are still being investigated. ,− In particular, numerous studies have demonstrated that knowing the volume of deposited colloids per volume of porous media (i.e., specific deposit) does not allow prediction of permeability, because even when the specific deposit is held constant, permeability can vary by orders of magnitude. − These studies suggest that deposit morphology, defined as the geometric arrangement of colloids within the pore space, has important effects on permeability.…”

Section: Introductionmentioning

confidence: 99%

Colloid Deposit Morphology and Clogging in Porous Media: Fundamental Insights Through Investigation of Deposit Fractal Dimension

Roth

Gilbert

Mays

2015

Environ. Sci. Technol.

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Experiments reveal a wide discrepancy between the permeability of porous media containing colloid deposits and the available predictive equations. Evidence suggests that this discrepancy results, in part, from the predictive equations failing to account for colloid deposit morphology. This article reports a series of experiments using static light scattering (SLS) to characterize colloid deposit morphology within refractive index matched (RIM) porous media during flow through a column. Real time measurements of permeability, specific deposit, deposit fractal dimension, and deposit radius of gyration, at different vertical positions, were conducted with initially clean porous media at various ionic strengths and fluid velocities. Decreased permeability (i.e., increased clogging) corresponded with higher specific deposit, lower fractal dimension, and smaller radius of gyration. During deposition, fractal dimension, radius of gyration, and permeability decreased with increasing specific deposit. During flushing with colloid-free fluid, these trends reversed, with increased fractal dimension, radius of gyration, and permeability. These observations suggest a deposition scenario in which large and uniform aggregates become deposits, which reduce porosity, lead to higher fluid shear forces, which then decompose the deposits, filling the pore space with small and dendritic fragments of aggregate.

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“…In order to reflect the relationship between porosity and permeability, the Kozeny–Carman equation is inserted into the reactive simulation model and its expression is as follows 24 where k is the real-time permeability; k 0 is the initial permeability; ϕ is the real-time porosity; ϕ 0 is the initial porosity; and n is the correlation coefficient. In this study, the value of n is assumed to be 1.…”

Section: Reactive Flow Simulation Modelmentioning

confidence: 99%

CO₂ Leakage Behaviors in Typical Caprock–Aquifer System during Geological Storage Process

Ren

Rui

2019

ACS Omega

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In this study, a 3D reactive flow simulation model is built to simulate the leakage processes though assumed leakage channels. The geochemical reactions are coupled with fluid flow simulation in this model with consideration of reservoir minerals calcite, kaolinite, and anorthite. As an essential trigger for geochemical reactions, changes in pH value are investigated during and after the CO2 injection process. By comparing CO2 migration with/without geochemical reactions, the influence of geochemical processes on CO2 leakage is illustrated. The leakage behaviors through leakage channels with different permeabilities are evaluated. Influence of reservoir temperature on CO2 leakage is also exhibited. Furthermore, the effects of the distance between the injection well and leakage zone on the leakage potential are studied. The results indicate that the geochemical reactions have impact on the leakage processes, which can decrease the leakage level with the presence of geochemical reactions. The region of low pH enlarges with continuous injection of CO2. Hence, monitoring changes in pH can reflect the migration of CO2, which can provide an alert for CO2 leakage. The occurrence of the leakage phenomenon is postponed with increasing the distance between the CO2 injection well and the leakage channel. However, the leakage level tends to be consistent with injecting more CO2. The CO2 leakage risk can be reduced through the leakage channels with lower permeability. With the presence of higher reservoir temperatures, the leakage risk can be improved. These results can provide references for the application of monitoring methods and prediction of CO2 front associated with geochemical processes.

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Modification of the Kozeny-Carman Equation To Quantify Formation Damage by Fines in Clean, Unconsolidated Porous Media

Abstract: Modification of the Kozeny-Carman equation to quantify formation damage by fines in clean unconsolidated porous media.

Cited by 23 publications

References 21 publications

Estimating the reaction parameters of oil shale pyrolysis and oil shale grade using temperature transient analysis and inverse modeling

Estimating the reaction parameters of oil shale pyrolysis and oil shale grade using temperature transient analysis and inverse modeling

Colloid Deposit Morphology and Clogging in Porous Media: Fundamental Insights Through Investigation of Deposit Fractal Dimension

CO₂ Leakage Behaviors in Typical Caprock–Aquifer System during Geological Storage Process

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Modification of the Kozeny-Carman Equation To Quantify Formation Damage by Fines in Clean, Unconsolidated Porous Media

Abstract: Modification of the Kozeny-Carman equation to quantify formation damage by fines in clean unconsolidated porous media.

Cited by 23 publications

References 21 publications

Estimating the reaction parameters of oil shale pyrolysis and oil shale grade using temperature transient analysis and inverse modeling

Estimating the reaction parameters of oil shale pyrolysis and oil shale grade using temperature transient analysis and inverse modeling

Colloid Deposit Morphology and Clogging in Porous Media: Fundamental Insights Through Investigation of Deposit Fractal Dimension

CO2 Leakage Behaviors in Typical Caprock–Aquifer System during Geological Storage Process

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CO₂ Leakage Behaviors in Typical Caprock–Aquifer System during Geological Storage Process