Continuum reconstruction of the pore scale microstructure for Fontainebleau sandstone

Latief, Fourier Dzar Eljabbar; Biswal, B.; Fauzi, Umar; Hilfer, R.

doi:10.1016/j.physa.2009.12.006

Cited by 91 publications

(52 citation statements)

References 34 publications

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“…Whilst previous pore characterization mostly relied on subjective 2D descriptions of 3D pore structures (Vazquez-Calvo et al, 2007) or by means of computerized reconstructed models (Latief et al, 2010), recently, more and more X-ray CT is being used combined with image analysis to allow complex 3D characterization. Already in the early days of synchrotron Xray micro-CT the technique was used to directly image the 3D pore structure of rocks at micrometers resolution.…”

Section: X-ray Micro-ct Used In Geosciencesmentioning

confidence: 99%

High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications

Cnudde

Boone

2013

Earth-Science Reviews

1,228

700

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Please cite this article as: Cnudde, V., Boone, M.N., "High-resolution X-ray computed tomography in geosciences: a review of the current technology and applications", Earth Science Reviews (2013Reviews ( ), doi: 10.1016Reviews ( /j.earscirev.2013 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.A C C E P T E D M A N U S C R I P T AbstractHigh-resolution X-ray Computed Tomography (HRXCT) or micro-CT (µCT) is a frequently used non-destructive 3D imaging and analysis technique for the investigation of internal structures of a large variety of objects, including geomaterials. Although the possibilities of X-ray micro-CT are becoming better appreciated in earth science research, the demands on this technique are also approaching certain physical limitations. As such, there remains a lot of research to be done in order to solve all the technical problems that occur when higher demands are put on the technique. In this paper, a review of the principle, the advantages and limitations of X-ray CT itself are presented, together with an overview of some current applications of micro-CT in geosciences. One of the main advantages of this technique is the fact that it is a non-destructive characterization technique which allows 4D monitoring of internal structural changes at resolutions down to a few hundred nanometers. Limitations of this technique are the operator dependency for the 3D image analysis from the reconstructed data, the discretations effects and possible imaging artefacts. Driven by the technological and computational progress, the technique is continuously growing as an analysis tool in geosciences and is becoming one of the standard techniques, as is shown by the large and still increasing number of publications in this research area. It is foreseen that this number will continue to rise, and micro-CT will become an indispensable technique in the field of geosciences.

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Section: X-ray Micro-ct Used In Geosciencesmentioning

confidence: 99%

High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications

Cnudde

Boone

2013

Earth-Science Reviews

1,228

700

View full text Add to dashboard Cite

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“…The first represents a homogeneous sample and consists of a 15 mm long and 3.75 mm wide reconstructed Fontainebleau sandstone using a stochastic geomet-rical model (Latief et al 2010). We consider the discretisations provided at resolutions of 1.83 µm (512 × 512 × 2, 048 voxel), 3.66 µm (1, 024 × 1, 024 × 4, 096 voxel), and 7.32 µm (2, 048×2, 048×8, 192 voxel).…”

Section: Rock Sample Representationmentioning

confidence: 99%

“…We consider the discretisations provided at resolutions of 1.83 µm (512 × 512 × 2, 048 voxel), 3.66 µm (1, 024 × 1, 024 × 4, 096 voxel), and 7.32 µm (2, 048×2, 048×8, 192 voxel). These reconstructions were shown to reproduce the Minkowski functionals of the original imaged rock samples as well as e.g., local percolation properties (Latief et al 2010). We use the different discretisations to discuss discretisation effects for the CM method in the discussion section.…”

Section: Rock Sample Representationmentioning

confidence: 99%

Evaluation of Capillary Pressure Methods via Digital Rock Simulations

Shikhov

Arns

2015

Transp Porous Med

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Capillary pressure measurements are an important part of the characterization of petroleum-bearing reservoirs. Three commonly used laboratory techniques, namely the porous plate (PP), centrifuge multi-speed experiment (CM), and mercury intrusion (MICP) methods, often provide nonidentical capillary pressure curves. We use high-resolution μ-CT images of Fontainebleau and Bentheimer sandstones to derive saturation profiles numerically in 3D at the pore scale through morphological distance transforms to simulate the above experiments. In the invasion simulation, the capillary pressure is realized by using as structural element a ball-whose diameter is a function of a local pressure potential, which in turn is a function of radial distance in centrifuge experiment and constant throughout the sample in MICP and porous plate measurements. To assess the effect on heterogeneous rock samples, we compare the computed saturation profiles of the relatively homogeneous sandstones to a highly heterogeneous numerical model of rock generated by a mixture of a Gaussian random field approach for the large-scale features and two Poisson particle processes at the small scale. The comparison of the image-based pore-scale numerical interpretation to capillary drainage experiments reveals their match and demonstrates the influence of boundary conditions and heterogeneity on the resulting saturation profiles and capillary pressure curves. Simulated centrifuge experiments may assist in estimation of experimental equilibrium times and provide a useful tool in speed schedule design.

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“…One of these techniques is the stochastic-based 2D to 3D reconstruction method, which simulates 3D structure of pore space and mineral phases of rock sample using a 2D image such as a thin section. Liang et al (2000) use an algorithm based on morphological skeletonization, Talukdar and Torsaeter (2002) apply simulated annealing method, Keehm et al (2003) use sequential indicator simulation to reconstruct 3D images, Okabe and Blunt (2004, 2005, 2007) reconstruct a 3D pore space structure using multiple-point statistics and predicted permeability, and Latief et al (2010) represent a model reconstruction based on crystallite properties and diagenetic parameters. In this study, however, we used a newly presented accurate reconstruction method introduced by Sahimi (2012, 2013) using crosscorrelationbased simulation (CCSIM).…”

Section: Introductionmentioning

confidence: 99%

Conditional reconstruction: An alternative strategy in digital rock physics

Karimpouli

Tahmasebi

2016

GEOPHYSICS

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Digital rock physics (DRP) is a newly developed method based on imaging and digitizing of 3D pore and mineral structure of actual rock and numerically computing rock physical properties, such as permeability, elastic moduli, and formation factor. Modern high-resolution microcomputed tomography scanners are used for imaging, but these devices are not widely available, and 3D imaging is also costly and it is a time-consuming procedure. However, recent improvements of 3D reconstruction algorithms such as crosscorrelation-based simulation and, on the other side, the concept of rock physical trends have provided some new avenues in DRP. We have developed a modified work flow using higher order statistical methods. First, a high-resolution 2D image is divided into smaller subimages. Then, different stochastic subsamples are generated based on the provided 2D subimages. Eventually, various rock physical parameters are calculated. Using several subsamples allows extracting rock physical trends and better capturing the heterogeneity and variability. We implemented our work flow on two DRP benchmark data (Berea sandstone and Grosmont carbonate) and a thin-section image from the Grosmont carbonate formation. Results of realization models, pore network modeling, and autocorrelation functions for the real and reconstructed subsamples reveal the validity of the reconstructed models. Furthermore, the agreement between static and dynamic methods indicates that subsamples are representative volume elements. Average values of the subsamples' properties follow the reference trends of the rock sample. Permeability trends pass the actual results of the benchmark samples; however, elastic moduli trends find higher values. The latter can be due to image resolution and voxel size, which are generated by imaging tools and reconstruction algorithms. According to the obtained results, this strategy can be introduced as a valid and accurate method where an alternative method for standard DRP is needed.

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Continuum reconstruction of the pore scale microstructure for Fontainebleau sandstone

Cited by 91 publications

References 34 publications

High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications

High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications

Evaluation of Capillary Pressure Methods via Digital Rock Simulations

Conditional reconstruction: An alternative strategy in digital rock physics

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