2013
DOI: 10.1016/j.petrol.2013.03.029
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Evaluation of representative elementary volume for a vuggy carbonate rock—Part: Porosity, permeability, and dispersivity

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Cited by 65 publications
(32 citation statements)
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“…Moreover, the representative elementary volume (REV) may also depend on the physical property under consideration (Vik, Bastesen, and Skauge 2013). If the microstructural model is heterogeneous as is usually the case for carbonate rocks, the simulated moduli are strongly controlled by the choice of the size of the model.…”
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confidence: 99%
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“…Moreover, the representative elementary volume (REV) may also depend on the physical property under consideration (Vik, Bastesen, and Skauge 2013). If the microstructural model is heterogeneous as is usually the case for carbonate rocks, the simulated moduli are strongly controlled by the choice of the size of the model.…”
mentioning
confidence: 99%
“…The size of the model has to be several times larger than the size of the largest microstructural heterogeneity in order for the model to be representative. Moreover, the representative elementary volume (REV) may also depend on the physical property under consideration (Vik, Bastesen, and Skauge 2013). The issue of the choice of an adequate REV has been addressed in a number of papers (see Vik et al (2013) for a review).…”
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“…The scale of the model should be optimized before simulation in order to reduce the consumption of time and computer memory. Therefore, we have utilized the representative elementary volume (REV) [23] method to implement the optimization by investigating the variety of porosity with the scale. The scale of REV can be determined when the porosity stops changing with the increase of model size.…”
Section: Reconstruction Of Core With X-ray Ctmentioning
confidence: 99%
“…By using CT, it is possible to render porosity from a sample volume, revealing the pore sizes and shapes while also allowing for investigating heterogeneity. The advance in tomographic data interpretation is associated with the application of image analysis methods, making it possible to quantify several rock parameters (Ketcham and Carlson, 2001;Van Geet et al, 2003;Vik et al, 2013).…”
Section: Introductionmentioning
confidence: 99%