Representative elementary volume analysis of porous media using X-ray computed tomography

Al-Raoush, Riyadh I.; Papadopoulos, Apostolos

doi:10.1016/j.powtec.2010.02.011

Cited by 192 publications

(92 citation statements)

References 29 publications

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“…The effect of sample size is well studied since Bear [38] brought up the idea of representative element volume (REV), which is the smallest volume over which the measurement result is representative of the macroscopic property. Many researchers checked the sample size to achieve REV [31,33,[39][40][41][42], but they ignored the influence of resolution. Though difference between experiment and DRA might be concluded to inadequate resolution [27,30,43], quantitative study of resolution effect is few [44].…”

Section: Introductionmentioning

confidence: 99%

Critical Resolution and Sample Size of Digital Rock Analysis for Unconventional Reservoirs

Liu

Wang

2018

Energies

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Digital rock analysis (DRA) has exhibited strong ability and significant potential to help people to image geological microstructures and understand transport mechanisms in rocks underground, especially for unconventional reservoirs like tight sandstone and shale. More and more new technologies have been developed for higher resolutions, which always come with higher expense. However, the balance between cost (money and time) and benefit has never been figured out quantitatively for these studies. As the cost and benefit are directly related to image resolution and size, this work is focusing on whether there is a critical resolution and sample size when using DRA for accurate enough predictions of rock properties. By numerically changing the digital resolutions of the reconstructed structures from high-resolution micro-computed tomography (CT) scanned tight rock samples, it is found that the permeability predictions get stable when the resolution is higher than a cut-off resolution (COR). Different from physical rocks, the representative element volume (REV) of a digital rock is influenced by the digital resolution. The results of pore-scale modeling indicate that once sample size is larger than the critical sample size and the scan resolution higher than the critical resolution for a given rock, the predicted rock properties by DRA are accurate and representative.

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Section: Introductionmentioning

confidence: 99%

Critical Resolution and Sample Size of Digital Rock Analysis for Unconventional Reservoirs

Liu

Wang

2018

Energies

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“…The concept of RVE has drawn much attention since the early work by Hill [27]. The existence and size determination of RVE have been studied by many researchers (see for example [28][29][30][31][32]). …”

Section: Introductionmentioning

confidence: 99%

Representative volume element estimation for desorption isotherm of concrete with sliced samples

Rougelot

Burlion

et al. 2015

Cement and Concrete Research

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“…C s , C i=o,w,g is the heat capacity of rock, oil, water and steam, respectively, J/(kJ°C). Depending on representative elementary volume theory (Bear and Bachmat 1990;Al-Raoush and Papadopoulos 2010), the permeable layers are treated as an equivalent continuous medium. Using Latil model, the thermal conductivity of the equivalent continuous medium k * can be described as follows:…”

Section: Determination Of Heat Intrusion Radiusmentioning

confidence: 99%

A new profile control design based on quantitative identification of steam breakthrough channel in heavy oil reservoirs

Liu

Pang

et al. 2013

J Petrol Explor Prod Technol

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Steam breakthrough has a great negative influence on the development of steam flooding in heavy oil reservoirs. In this article, a new profile control design based on quantitative identification of steam breakthrough channel is introduced. Firstly, dual-sandpack experiments are conducted to study the characteristics and influencing factors of steam breakthrough. Then based on the experimental results as well as pretreatment and combination of geological parameters and production data, comprehensive identification parameter (CIP) is achieved through the analytic hierarchy process to quantitatively describe the degree of steam breakthrough. Afterward, the breakthrough types of production wells are determined by CIP and the volume of breakthrough channels and profile control parameters among the injector and the producers are calculated according to the tapering distribution of steam breakthrough in the process of steam flooding in heavy oil reservoirs. The experiment results show that there exists a large difference between breakthrough channels and nonbreakthrough areas in temperature and oil recovery. Permeability contrast is an important factor, which influences the direction of steam breakthrough, and temperature has a great correlation with oil recovery under the heterogeneous condition. The determination of CIP is an attempt to quantify the degree of breakthrough and it combines many factors, which show the difference between the injector and the producer, as well as the difference between producers. All producers of the steam flooding well group can be divided into complete breakthrough wells with CIP over 0.5 and incomplete breakthrough wells with CIP below 0.5 for calculating conveniently. Based on the tapering distribution of the steam breakthrough channel, blocking parameters considering oil drainage radius around the injector, temperature distribution between the injector and the producer and the demand of blocking effect and field reality are obtained to calculate the blocking volume for complete breakthrough wells and incomplete breakthrough wells. This method could be used as a tool to judge breakthrough degree and design profile control parameters for oilfields with heavy oil reservoirs.

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Representative elementary volume analysis of porous media using X-ray computed tomography

Cited by 192 publications

References 29 publications

Critical Resolution and Sample Size of Digital Rock Analysis for Unconventional Reservoirs

Critical Resolution and Sample Size of Digital Rock Analysis for Unconventional Reservoirs

Representative volume element estimation for desorption isotherm of concrete with sliced samples

A new profile control design based on quantitative identification of steam breakthrough channel in heavy oil reservoirs

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