Hydraulic versus pneumatic measurements of fractured sandstone permeability

Baraka-Lokmane, Salima

doi:10.1016/s0920-4105(02)00317-0

Cited by 14 publications

(9 citation statements)

References 13 publications

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“…These rock materials present higher percentages of clays represented by illite, smectite, and kaolinite (5.3%˙0.9 for Slick Rock Aeolian sandstones and 6%˙2 for Lochabriggs sandstones). The impact of clay migration on impairing reservoir permeability is a well-known problem (Baraka-Lokmane, 2002). Strongly hydrophilic minerals, particularly swelling clays, can be important in controlling the liquid permeability (Bitton and Gerba, 1984;Appelo and Postma, 1993;Bloomfield and Williams, 1995;Baraka-Lokmane, 2002;Pajak-Komorowska, 2003).…”

Section: Discussionmentioning

confidence: 99%

“…The impact of clay migration on impairing reservoir permeability is a well-known problem (Baraka-Lokmane, 2002). Strongly hydrophilic minerals, particularly swelling clays, can be important in controlling the liquid permeability (Bitton and Gerba, 1984;Appelo and Postma, 1993;Bloomfield and Williams, 1995;Baraka-Lokmane, 2002;Pajak-Komorowska, 2003). During the liquid permeability measurements, the swelling clays may be responsible for the migration of the clay particles, which remain in the system, and therefore liquid permeability is reduced.…”

Section: Discussionmentioning

confidence: 99%

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Correlation Between Microstructure and Flow Behavior in Porous Sandstones

Baraka-Lokmane

Main

Ngwenya

et al. 2009

Petroleum Science and Technology

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Abstract:The correlation between permeability and petrographical parameters in cored samples can be used by extrapolations to predict permeability in uncored intervals. The core analysis described here is concerned with the study of fluidrock interactions in rock samples from three sandstone reservoirs, in particular the effect of petrographical parameters on flow behavior. A positive correlation between liquid permeability and the volume fraction of silica is clearly demonstrated. Liquid permeability was correlated using multivariate regressions to one to five petrographical parameters, the results of which have useful application in the estimation of reservoir permeability where samples are not available for experimental testing.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Correlation Between Microstructure and Flow Behavior in Porous Sandstones

Baraka-Lokmane

Main

Ngwenya

et al. 2009

Petroleum Science and Technology

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“…The permeability of a liquid such as water, through a porous sample can be measured simply by allowing it to flow continuously through the sample with a constant pressure gradient [6]. The volume of liquid that flows through the sample is measured at specific time intervals, which can be used to calculate the volumetric flow rate [7,8].…”

Section: Introductionmentioning

confidence: 99%

Using statistical and artificial neural networks to predict the permeability of loosely packed granular materials

Mahdi

Holdich

2016

Separation Science and Technology

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Well-known analytical equations for predicting permeability are generally reported to overestimate this important property of porous media. In this work, more robust models developed from statistical (MVR) and Artificial Neural Network (ANN) methods utilized additional particle characteristics ('fines ratio' (x 50 /x 10 ) and particle shape) that are not found in traditional analytical equations. Using data from experiments and literature, model performance analyses with average absolute error (AAE) showed error of ~40% for the analytical models (Kozeny-Carman and HappelBrenner). This error reduces to 9% with ANN model. This work establishes superiority of the new models, using experiments and mathematical techniques.

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“…Nevertheless, numerous laboratory experiments observed substantial deviations from this theory, since it is found that the apparent intrinsic permeability changes as a function of the mobile phase used to measure the intrinsic permeability. Most of these studies compare the measurements with water and with an inert gas as a mobile phase, for example nitrogen (Jones and Owens 1980;Dana and Skoczylas 1999;Baraka-Lokmane 2002). After corrections for the gas slippage (or Klinkenberg) effect (Guéguen and Palciauskas 1994), it is observed that for certain classes of porous materials the intrinsic permeability obtained with gas (k g ) is systematically larger than the same parameter measured with water (k w ).…”

Section: Introductionmentioning

confidence: 99%

“…According to Baraka-Lokmane (2002) the reduced water permeability of shaly sandstones is the result of three synergetic processes, i.e., (i) migration of clays and fine particles clogging the pores, (ii) partial desaturation of the samples during the experiment, and/or incomplete core saturation prior to start the measures, and (iii) mechanical breakdown of the clay fabric, and subsequent reduction of the effective pore sizes. Other studies, however, have pointed out that an additional permeability decrease can result from a number of chemical-physical processes triggered by the presence of an electrically charged surface (e.g., Wilson 1982;Raffenspergen and Ferrel 1991;Soma and Papadopulos 1995;Lyklema 2001;Revil et al 1999b;Revil and Pessel 2002 and references therein).…”

Section: Introductionmentioning

confidence: 99%

Sensitivity of Intrinsic Permeability to Electrokinetic Coupling in Shaly and Clayey Porous Media

Brovelli

Cassiani

2009

Transp Porous Med

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Classical Darcy's law assumes that the intrinsic permeability of porous media is only dependent on the micro-geometrical and structural properties of the inner geometry of the medium. There are, however, numerous experimental evidences that intrinsic permeability of shaly and clayey porous material is a function of the fluid phase used in the experiments. Several pore-scale processes have been proposed to explain the observed behavior. In this study, we conduct a detailed investigation of one such mechanism, namely the electrokinetic coupling. We have developed a numerical model to simulate this process at the pore-scale, incorporating a refined model of the electrical double layer. The model is used to conduct a detailed sensitivity analysis to elucidate the relative importance of several chemical-physical parameters on the intensity of the electrokinetic coupling. We found that permeability reduction due to this mechanism is likely to occur only if the effective pore-radius is smaller than 10(-6) m. We also observed that electrokinetic coupling is strongly sensitive to electrophoretic mobility, which is normally reduced in clays compared to free-water conditions. Based on these findings, we set up a suite of stochastic pore-network simulations to quantify the extent of permeability reduction. We found that only if the effective pore-radius is ranging from 5 x 10(-7) m to 5 x 10(-8), electrokinetic coupling can be responsible for a 5-20% reduction of the intrinsic permeability, and, therefore, this mechanism has a minor impact on situations of practical environmental or mining interest

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Hydraulic versus pneumatic measurements of fractured sandstone permeability

Cited by 14 publications

References 13 publications

Correlation Between Microstructure and Flow Behavior in Porous Sandstones

Correlation Between Microstructure and Flow Behavior in Porous Sandstones

Using statistical and artificial neural networks to predict the permeability of loosely packed granular materials

Sensitivity of Intrinsic Permeability to Electrokinetic Coupling in Shaly and Clayey Porous Media

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