AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
PDF (4.5 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Original Article | Open Access

Pore-scale remaining oil distribution under different pore volume water injection based on CT technology

Zhihui Liu1Yongfei Yang1 ( )Jun Yao1Qi Zhang1Jingsheng Ma2Qihao Qian3
Research Centre of Multiphase Flow in Porous Media, China University of Petroleum (East China), Qingdao 266580, P. R. China
Institute of Petroleum Engineering, Heriot-Watt University, Riccarton, Edinburgh EH14 4AS, UK
PetroChina Research Institute of Petroleum Exploration & Development, Beijing 100083, P. R. China
Show Author Information

Abstract

A water-injection experiment was performed on a water-wet reservoir core plug that was filled with brine first and then displaced by synthetic oil. A X-ray Computed Tomography was used to take snapshots of the process of oil-water displacement at predefined time intervals to characterize the distribution of remaining oil. The quasi-real time images were used to understand the pore-scale phase displacement mechanisms and the distributional pattern of the remaining oil. Four forms of the distributional patterns, i.e. network, porous, isolated and film shape, were observed and analyzed with respect to the injected pore volumes (PV). The results show that with the increased level of water injection, the volume of the oil phase continuously decreases, and the morphology of the oil phase changes from initial continuous network-like to film shape forms. At 15 PV, the network-like remaining oil disappears and transforms into isolated and film-like forms. The statistics of the volume for each form of the remaining oil show that the isolated blobs increase with increasing water injection, by contrast, the average volume of the remaining oil decreases with increasing water injection. The rate of volumetric changes is fast before 5 PV but slow in the later period.

References

 
Akin, S., Kovscek, A. Imbibition studies of low-permeability porous media. Paper SPE 54590 Presented at the SPE Western Regional Meeting, Anchorage, Alaska, 26-27 May, 1999.
 
Akin, S., Schembre, J., Bhat, S., et al. Spontaneous imbibition characteristics of diatomite. J. Pet. Sci. Eng. 2000, 25(3): 149-165.
 
Al-Raoush, R.I. Experimental investigation of the influence of grain geometry on residual NAPL using synchrotron microtomography. J. Contam. Hydrol. 2014, 159: 1-10.
 
Al-Raoush, R.I., Willson, C.S. A pore-scale investigation of a multiphase porous media system. J. Contam. Hydrol. 2005, 77(1): 67-89.
 
An, S., Yao, J., Yang, Y., et al. Influence of pore structure parameters on flow characteristics based on a digital rock and the pore network model. J. Nat. Gas Sci. Eng. 2016, 31: 156-163.
 
Arns, C.H., Bauget, F., Ghous, A., et al. Digital core laboratory: Petrophysical analysis from 3D imaging of reservoir core fragments. Petrophysics 2005, 46(4): 260-277.
 
Arns, J., Sheppard, A., Arns, C.H., et al. Pore-level validation of representative pore networks obtained from micro-CT images. Paper SCA200715 Presented at the Proceedings of the International Symposium of the Society of Core Analysts, Canada, 10-12 September, 2007.
 
Arzilli, F., Cilona, A., Mancini, L., et al. Using synchrotron X-ray microtomography to characterize the pore network of reservoir rocks: A case study on carbonates. Adv. Water Resour. 2016, 95: 254-263.
 
Auzerais, F., Dussan, V., Reischer, A. Computed tomography for the quantitative characterization of flow through a porous medium. Paper SPE 22595 Presented at the SPE Annual Technical Conference and Exhibition, Dallas, Texas, 6-9 October, 1991.
 
Bekri, S., Laroche, C., Vizika, O. Pore network models to calculate transport and electrical properties of single or dual-porosity rocks. Paper SCA200535 Presented at the International Symposium of the Society of Core Analysts, Toronto, 21-25 August, 2005.
 
Berg, S., Ott, H., Klapp, S., et al. Multiphase flow in porous rock imaged under dynamic flow conditions with fast X-ray computed micro-tomography. Petrophysics 2014, 55(4): 304-312.
 
Blunt, M.J., Bijeljic, B., Dong, H., et al. Pore-scale imaging and modelling. Adv. Water Resour. 2013, 51(1): 197-216.
 
BP Energy outlook URL bp. com/ energy outlook, 2017a.
 
BP Statistical review of world energy URL bp. com/statisticalreview, 2017b.
 
Bultreys, T., Boone, M.A., Boone, M.N., et al. Fast laboratory-based micro-computed tomography for pore-scale research: Illustrative experiments and perspectives on the future. Adv. Water Resour. 2016, 95: 341-351.
 
Cai, J., Wei, W., Hu, X., et al. Electrical conductivity models in saturated porous media: A review. Earth-Sci. Rev. 2017a, 171: 419-433.
 
Cai, J., Wei, W., Hu, X., et al. Fractal characterization of dynamic fracture network extension in porous media. Fractals 2017b, 25(2): 1750023.
 
Cai, J., Yu, B., Zou, M., et al. Fractal characterization of spontaneous co-current imbibition in porous media. Energy Fuels 2010, 24(3): 1860-1867.
 
Carpenter, C. Digital core analysis and pore-network modeling in a mature-field project. J. Pet. Technol. 2015, 67 (1):97-99.
 
Chatzis, I., Morrow, N.R., Lim, H.T. Magnitude and detailed structure of residual oil saturation. SPE J. 1983, 23(2): 311-326.
 
Cnudde, V., Boone, M.N. High-resolution X-ray computed tomography in geosciences: A review of the current technology and applications. Earth-Sci. Rev. 2013, 123(4): 1-17.
 
Gao, Y., Yao, J., Yang, Y., et al. REV identification of tight sandstone in Sulige Gas Field in Changqing Oilfield China using CT based digital core technology. Paper SCA2014036 Presented at the 2014 International Symposium of the Society of Core Analysts, Avignon, France, 8-11 September, 2014.
 
Hajizadeh, A., Safekordi, A., Farhadpour, F.A. A multiple-point statistics algorithm for 3D pore space reconstruction from 2D images. Adv. Water Resour. 2011, 34(10): 1256-1267.
 
Hou, J., Zhang, S., Sun, R., et al. Reconstruction of 3D network model through CT scanning. Paper SPE 106603 Presented at the 69th European Association of Geoscientists and Engineers Conference and Exhibition, London, UK, 11-14 June, 2007.
 
Iglauer, S., Fern, M.A., Shearing, P., et al. Comparison of residual oil cluster size distribution, morphology and saturation in oil-wet and water-wet sandstone. J. Colloid Interface Sci. 2012, 375(1): 187-192.
 
Iglauer, S., Paluszny, A., Blunt, M.J. Simultaneous oil recovery and residual gas storage: A pore-level analysis using in situ X-ray micro-tomography. Fuel 2013, 103: 905-914.
 
Ioannidis, M., Kwiecien, M., Chatzis, I. Computer generation and application of 3D model porous media: From pore-level geostatistics to the estimation of formation factor. Paper SPE 30201 Presented at the Petroleum Computer Conference, Houston, Texas, 11-14 June, 1995.
 
Kak, A.C., Slaney, M. Principles of Computerized Tomographic Imaging. USA, SIAM, 2001.
 
Kak, A.C., Slaney, M., Wang, G. Principles of computerized tomographic imaging. Med. Phys. 2002, 29(1): 107-107.
 
Karpyn, Z.T., Piri, M., Singh, G. Experimental investigation of trapped oil clusters in a water-wet bead pack using X-ray microtomography. Water Resour. Res. 2010, 46(4): 475-478.
 
Krummel, A.T., Datta, S.S., Mnster, S., et al. Visualizing multiphase flow and trapped fluid configurations in a model three-dimensional porous medium. Aiche J. 2013, 59(3): 1022-1029.
 
Kumar, M., Knackstedt, M.A., Senden, T.J., et al. Visualizing and quantifying the residual phase distribution in core material. Petrophysics 2009, 51(51): 323-331.
 
Natterer, F. The Mathematics of Computerized Tomography. USA, SIAM, 2001.
 
Norouzi, A.S., Arns, C.H. Image-based relative permeability upscaling from the pore scale. Adv. Water Resour. 2016, 95: 161-175.
 
Pak, T., Butler, I.B., Geiger, S., et al. Droplet fragmentation: 3D imaging of a previously unidentified pore-scale process during multiphase flow in porous media. Proc. Natl. Acad. Sci. USA 2015, 112(7): 1947-1952.
 
Prodanović, M., Lindquist, W., Seright, R. 3D image-based characterization of fluid displacement in a Berea core. Adv. Water Resour. 2007, 30(2): 214-226.
 
Rangel-German, E., Akin, S., Castanier, L. Multiphase-flow properties of fractured porous media. J. Pet. Sci. Eng. 2006, 51(3): 197-213.
 
Sedgwick, G., Miles-Dixon, E. Application of X-ray imaging techniques to oil sands experiments. J. Can. Pet. Technol. 1988, 27(02): 104-110.
 
Shah, S.M., Gray, F., Crawshaw, J.P., et al. Micro-computed tomography pore-scale study of flow in porous media: Effect of voxel resolution. Adv. Water Resour. 2015, 95: 276-287.
 
Tsuji, T., Jiang, F., Christensen, K.T. Characterization of immiscible fluid displacement processes with various capillary numbers and viscosity ratios in 3D natural sandstone. Adv. Water Resour. 2016, 95: 3-15.
 
Wei, W., Cai, J., Hu, X., et al. An electrical conductivity model for fractal porous media. Geophys. Res. Lett. 2015, 42(12): 4833-4840.
 
Wildenschild, D., Sheppard, A.P. X-ray imaging and analysis techniques for quantifying pore-scale structure and processes in subsurface porous medium systems. Adv. Water Resour. 2013, 51(1): 217-246.
 
Xu, Z., Teng, Q., He, X., et al. A reconstruction method for three-dimensional pore space using multiple-point geology statistic based on statistical pattern recognition and microstructure characterization. Int. J. Numer. Anal. Methods Geomech. 2013, 37(1): 97-110.
 
Yang, Y., Liu, P., Zhang, W., et al. Effect of the pore size distribution on the displacement efficiency of multiphase flow in porous media. Open Phys. 2016a, 14(1): 610-616.
 
Yang, Y., Wang, C., Yao, J., et al. A new voxel upscaling method based on digital rock. Int. J. Multiscale Comput. Eng. 2015, 13(4): 339-346.
 
Yang, Y., Zhang, W., Gao, Y., et al. Influence of stress sensitivity on microscopic pore structure and fluid flow in porous media. J. Nat. Gas Sci. Eng. 2016b, 36: 20-31.
 
Yao, J., Wang, C., Yang, Y., et al. Upscaling of carbonate rocks from micropore scale to core scale. Int. J. Multiscale Comput. Eng. 2013, 11(5): 497-504.
Advances in Geo-Energy Research
Pages 171-181
Cite this article:
Liu Z, Yang Y, Yao J, et al. Pore-scale remaining oil distribution under different pore volume water injection based on CT technology. Advances in Geo-Energy Research, 2017, 1(3): 171-181. https://doi.org/10.26804/ager.2017.03.04

779

Views

51

Downloads

24

Crossref

0

Web of Science

35

Scopus

Altmetrics

Received: 15 October 2017
Revised: 04 November 2017
Accepted: 06 November 2017
Published: 25 December 2017
© The Author(s) 2017

Published with open access at Ausasia Science and Technology Press on behalf of the Division of Porous Flow, Hubei Province Society of Rock Mechanics and Engineering.

This article is distributed under the terms and conditions of the Creative Commons Attribution (CC BY-NC-ND) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Return