2019
DOI: 10.1016/j.fuel.2018.08.063
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Effect of pore sizes on composition distribution and enhance recovery from liquid shale—Molecular sieving in low permeability reservoirs

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Cited by 34 publications
(18 citation statements)
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“…Nevertheless, the preparation of the samples is highly elaborated in the adsorption methods and proper interpretation of the NMR measurements require accurate knowledge of the properties of both the skeleton and the fluid in the pore space ( Cieszko et al, 2019 ). Also, the use of a set of different porosimetry techniques is the appropriate means to characterize the PSDs of porous media having an extremely wide range of pore sizes ( Bultreys et al, 2016 ), such as tight reservoir rocks , porous building materials ( Roel et al, 2001 ), some types of sandstones ( Tsakiroglou and Payatakes, 20 0 0 ) and shales ( Chen et al, 2018 ;Alfi et al, 2019 ). In this regard, MIP data sets along with SEM images of reservoir rocks and mineral soils were combined with percolation-type approaches and inverse modeling algorithms to characterize the pore structure of heterogeneous materials with a broad range of pore length scales, spanning some orders of magnitude ( Tsakiroglou and Ioannidis, 2008 ;Tsakiroglou et al, 2009 ;Amirtharaj et al, 2011 ).…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the preparation of the samples is highly elaborated in the adsorption methods and proper interpretation of the NMR measurements require accurate knowledge of the properties of both the skeleton and the fluid in the pore space ( Cieszko et al, 2019 ). Also, the use of a set of different porosimetry techniques is the appropriate means to characterize the PSDs of porous media having an extremely wide range of pore sizes ( Bultreys et al, 2016 ), such as tight reservoir rocks , porous building materials ( Roel et al, 2001 ), some types of sandstones ( Tsakiroglou and Payatakes, 20 0 0 ) and shales ( Chen et al, 2018 ;Alfi et al, 2019 ). In this regard, MIP data sets along with SEM images of reservoir rocks and mineral soils were combined with percolation-type approaches and inverse modeling algorithms to characterize the pore structure of heterogeneous materials with a broad range of pore length scales, spanning some orders of magnitude ( Tsakiroglou and Ioannidis, 2008 ;Tsakiroglou et al, 2009 ;Amirtharaj et al, 2011 ).…”
Section: Introductionmentioning
confidence: 99%
“…Moreover, the same analysis can be performed by using digital images coming from 3D microtomography experiments, which represents a promising landscape for the validation and calibration of alternative porosimetry methods as YSM with a wide range of porous media. It should be borne in mind that, while wider size distributions are expected in porous rocks and other natural porous media (Wang et al 2018;Wu et al 2018;Ali et al 2019), the use of model porous media with well-deined pore and throat sizes is a mandatory stage for the evaluation of the reliability and accuracy of YSM results. The efects on PSD of the standard deviation of the sphere sizes in diferent types of packed lattices were investigated by Nolan and Kavanagh (1994) through numerical computations and can be used in future validation of YSM for polydisperse packs of beads.…”
Section: Pore Size Distribution Obtained With Pore-network Modellingmentioning
confidence: 99%
“…Other usual porosimetry methods, such as nitrogen or water-desorption porosimetry (Rouquerol et al 2012;Bultreys et al 2016), require extremely elaborated preparation of the samples and the test times are long. The combination of several techniques is the only option to fully characterize PSDs covering many orders of magnitude in size (Bultreys et al 2016;Li et al 2018a, b;Wang et al 2018;Chen et al 2018;Ali et al 2019). Ambari et al (1990) presented the theoretical aspects of a novel porosimetry method based on the derivation of the PSD from the low rate Q versus pressure gradient ∇P measurements obtained during the injection of a yield stress luid through a porous sample.…”
Section: Introductionmentioning
confidence: 99%
“…Although pores are larger in the MB and TF intervals, the pore throat radii are still very small and average only about 10–15 nm (Table ) as compared to the conventional reservoirs that have pore throats in the range of several microns to mm. UBS and LBS also have about one-third of their pore throat radii smaller than 2.5 nm, and MB/TF average about 5% of their pore throat radii <2.5 nm, a size similar to the molecular size of the middle and heavier hydrocarbons present in Bakken crude oil (Table ). , These extremely small pore throats suggest that oil expulsion and migration mechanisms may be very different than those that dominate in the conventional reservoirs where the permeabilities are much higher and pore throats can be thousands to millions of times larger (micron to millimeter range) than the nanometer pore throats found in source shales from systems such as the Bakken, Eagle Ford, and Barnett. …”
Section: Introductionmentioning
confidence: 99%