scholarly journals Spatial Correlation of Contact Angle and Curvature in Pore-Space Images

2018 ◽  
Vol 54 (9) ◽  
pp. 6133-6152 ◽  
Author(s):  
Ahmed AlRatrout ◽  
Martin J. Blunt ◽  
Branko Bijeljic
2017 ◽  
Vol 109 ◽  
pp. 158-169 ◽  
Author(s):  
Ahmed AlRatrout ◽  
Ali Q Raeini ◽  
Branko Bijeljic ◽  
Martin J Blunt

2019 ◽  
Vol 127 ◽  
pp. 192-208 ◽  
Author(s):  
Thomas D.S. Oliveira ◽  
Martin J. Blunt ◽  
Branko Bijeljic

2020 ◽  
Vol 135 (1) ◽  
pp. 25-37
Author(s):  
Traiwit Chung ◽  
Ying Da Wang ◽  
Ryan T. Armstrong ◽  
Peyman Mostaghimi

2017 ◽  
Vol 53 (4) ◽  
pp. 3424-3445 ◽  
Author(s):  
Zhixing Yi ◽  
Mian Lin ◽  
Wenbin Jiang ◽  
Zhaobin Zhang ◽  
Haishan Li ◽  
...  

SPE Journal ◽  
2017 ◽  
Vol 22 (03) ◽  
pp. 940-949 ◽  
Author(s):  
Edo S. Boek ◽  
Ioannis Zacharoudiou ◽  
Farrel Gray ◽  
Saurabh M. Shah ◽  
John P. Crawshaw ◽  
...  

Summary We describe the recent development of lattice Boltzmann (LB) and particle-tracing computer simulations to study flow and reactive transport in porous media. First, we measure both flow and solute transport directly on pore-space images obtained from micro-computed-tomography (CT) scanning. We consider rocks with increasing degree of heterogeneity: a bead pack, Bentheimer sandstone, and Portland carbonate. We predict probability distributions for molecular displacements and find excellent agreement with pulsed-field-gradient (PFG) -nuclear-magnetic-resonance (NMR) experiments. Second, we validate our LB model for multiphase flow by calculating capillary filling and capillary pressure in model porous media. Then, we extend our models to realistic 3D pore-space images and observe the calculated capillary pressure curve in Bentheimer sandstone to be in agreement with the experiment. A process-based algorithm is introduced to determine the distribution of wetting and nonwetting phases in the pore space, as a starting point for relative permeability calculations. The Bentheimer relative permeability curves for both drainage and imbibition are found to be in good agreement with experimental data. Third, we show the speedup of a graphics-processing-unit (GPU) algorithm for large-scale LB calculations, offering greatly enhanced computing performance in comparison with central-processing-unit (CPU) calculations. Finally, we propose a hybrid method to calculate reactive transport on pore-space images by use of the GPU code. We calculate the dissolution of a porous medium and observe agreement with the experiment. The LB method is a powerful tool for calculating flow and reactive transport directly on pore-space images of rock.


2019 ◽  
Vol 7 (4) ◽  
pp. SJ45-SJ65
Author(s):  
Qinhong Hu ◽  
Richard Kalteyer ◽  
Jingyi Wang ◽  
Hesham F. El-Sobky

The Mancos Shale of the San Juan Basin has been an important resource for the exploration and development of oil and gas. However, as with most unconventional plays, the shales have low porosity and extremely low permeability with predominantly nanometer-sized pores. Thus, it is critical to understand the nanopetrophysical properties of the reservoir so a proper assessment of the reservoir quality can be made. Working with three as-received core samples from three different wells of the Tacito Marine Bar and Offshore Mancos play types, we have developed an initial understanding of the nanopetrophysical properties of the pore structure as well as fluid-rock interactions in these tight reservoirs. We have performed a suite of integrated tests, such as mercury intrusion porosimetry (MIP), low-pressure nitrogen physisorption, core plug porosity and permeability, scanning electron microscopy imaging, water immersion porosimetry after vacuum pulling, contact angle, and fluid imbibition. In addition, we obtained supplementary data for total organic carbon, X-ray diffraction, and pyrolysis to further evaluate reservoir quality. The Mancos Shale samples exhibit petrophysical characteristics that are controlled by a predominant presence of nanometer-sized pore space, with 56%–96% pore volumes present as 3.4–50 nm in pore-throat sizes, as shown by the MIP approach. Contact angle and fluid imbibition tests demonstrate that samples are oil wet to mixed wet, with a tendency of pore networks to imbibe oil over water. The findings from integrated pore structure and wettability studies provide a database and some insights, from the perspectives of nanopetrophysical characterization, into the reservoir quality of the Mancos Shale.


Geoderma ◽  
1992 ◽  
Vol 53 (3-4) ◽  
pp. 399-415 ◽  
Author(s):  
Michael L. Thompson ◽  
Piyush Singh ◽  
Steven Corak ◽  
Warren E. Straszheim

Materials ◽  
2019 ◽  
Vol 12 (13) ◽  
pp. 2138 ◽  
Author(s):  
Takashi Akai ◽  
Qingyang Lin ◽  
Abdulla Alhosani ◽  
Branko Bijeljic ◽  
Martin Blunt

Recent advances in high-resolution three-dimensional X-ray CT imaging have made it possible to visualize fluid configurations during multiphase displacement at the pore-scale. However, there is an inherited difficulty in image-based curvature measurements: the use of voxelized image data may introduce significant error, which has not—to date—been quantified. To find the best method to compute curvature from micro-CT images and quantify the likely error, we performed drainage and imbibition direct numerical simulations for an oil/water system on a bead pack and a Bentheimer sandstone. From the simulations, local fluid configurations and fluid pressures were obtained. We then investigated methods to compute curvature on the oil/water interface. The interface was defined in two ways; in one case the simulated interface with a sub-resolution smoothness was used, while the other was a smoothed interface extracted from synthetic segmented data based on the simulated phase distribution. The curvature computed on these surfaces was compared with that obtained from the simulated capillary pressure, which does not depend on the explicit consideration of the shape of the interface. As distinguished from previous studies which compared an average or peak curvature with the value derived from the measured macroscopic capillary pressure, our approach can also be used to study the pore-by-pore variation. This paper suggests the best method to compute curvature on images with a quantification of likely errors: local capillary pressures for each pore can be estimated to within 30% if the average radius of curvature is more than 6 times the image resolution, while the average capillary pressure can also be estimated to within 11% if the average radius of curvature is more than 10 times the image resolution.


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