2019
DOI: 10.3390/geosciences10010007
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Nano- to Millimeter Scale Morphology of Connected and Isolated Porosity in the Permo-Triassic Khuff Formation of Oman

Abstract: Carbonate reservoirs form important exploration targets for the oil and gas industry in many parts of the world. This study aims to differentiate and quantify pore types and their relation to petrophysical properties in the Permo-Triassic Khuff Formation, a major carbonate reservoir in Oman. For that purpose, we have employed a number of laboratory techniques to test their applicability for the characterization of respective rock types. Consequently, a workflow has been established utilizing a combined analysi… Show more

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Cited by 6 publications
(4 citation statements)
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References 40 publications
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“…9C) suggests that fluid flow through the matrix primarily depends on pore connectivity and pore throat size distribution rather than on the effective porosity. This is in accordance with results of Smodej et al (2020), showing that the permeability is mostly controlled by the smallest throats. The slightly positive correlation between the argon permeabilities and the r 35 also points to the pore throat size distribution, particularly the r 35 , as the matrix permeability-controlling factor, thereby agreeing with the findings of Saki et al (2020).…”
Section: Permeabilitysupporting
confidence: 92%
See 1 more Smart Citation
“…9C) suggests that fluid flow through the matrix primarily depends on pore connectivity and pore throat size distribution rather than on the effective porosity. This is in accordance with results of Smodej et al (2020), showing that the permeability is mostly controlled by the smallest throats. The slightly positive correlation between the argon permeabilities and the r 35 also points to the pore throat size distribution, particularly the r 35 , as the matrix permeability-controlling factor, thereby agreeing with the findings of Saki et al (2020).…”
Section: Permeabilitysupporting
confidence: 92%
“…Other models, such as the K-T and the Dastidar Models, which also use pore throat radii at a specific saturation (K-T Model) or capillary pressure (Dastidar Model) correlate significantly worse with measured permeabilities compared to the CT and the Saki Models, suggesting once more that the r 35 parameter is an important matrix permeability-controlling factor, at least in the case of the samples investigated in this study. Although other studies propose that the permeability in tight limestones is primarily controlled by the pore throat radii (Cai et al 2019;Zhao et al 2018) or the smallest pore body sizes (Smodej et al 2020) rather than by the entire effective porosity range, this does not contradict our results. Instead, our results are rather complementary to these findings and specify that one particular pore throat radius, namely, the r 35 , has a particularly strong control on fluid flow in the matrix.…”
Section: Permeability Modelscontrasting
confidence: 84%
“…For laboratory stuhollow punchs, experimental installations were created that allowed assessing the soil stickiness and strength (bearing capacity), the traction and adhesion properties of Fregat sprinkling machine wheels, and the energy costs of cleaning device operations necessary for removing soil between spade bugs of wheel rims. To study the adhesion conditions for drivers in the soil, an experimental setup was made, which provided a Kachinsky device and made it possible to study the adhesion forces during vertical separation [17,18]. The experimental setup included an electric motor mounted on a rack for the implementation of breakout forces, a strain gauge plate glued on sensors, fixed on a holder, and freely moving on the rack.…”
Section: Methodsmentioning
confidence: 99%
“…Firstly, published case studies mainly cover only a few methods for characterizing the reservoir properties. The majority of publications present success stories with excellent and reliable results, even in cases of low-and ultra-low permeable reservoir rocks [8,16,17,19]. Therefore, recommended workflows often do not include failure scenarios and do not highlight the limitations of conventional methods.…”
Section: Measured Parametermentioning
confidence: 99%