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 (2.3 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

Microscopic remaining oil distribution and quantitative analysis of polymer flooding based on CT scanning

Xin Wang1Hongwei Yin2Xia Zhao3Bingxian Li3Yongfei Yang1 ( )
Research Center of Multiphase Flow in Porous Media, School of Petroleum Engineering, China University of Petroleum (East China), Qingdao 266580, P. R. China
Kela Oil and Gas Development Department, PetroChina Tarim Oilfield Company, Korla 841000, P. R. China
Marine Oil Production Plant, Sinopec Shengli Oilfield, Dongying 257237, P. R. China
Show Author Information

Abstract

To investigate the distribution characteristics of remaining oil after polymer flooding, the core samples of different stages of water flooding and polymer flooding were scanned and imaged based on CT scanning technology. The oil, water and rock were divided into three phases by image analysis method, and the corresponding digital cores were constructed. Through the qualitative and quantitative analysis of the two-dimensional image and three-dimensional structure at the same position, the quantitative characterization of the micro-residual oil distribution in different displacement stages is finally realized. The results show that, the polymer flooding can significantly improve the sweep efficiency, which can increase the oil recovery by 11.45% compared with water flooding. The remaining oil in the pore is mainly network and multiple, and mainly network distribution at the stage of water flooding. After adding polymer, the proportion of multiple remaining oil increases significantly and becomes the main occurrence state of remaining oil. Affected by Jamin effect, multiple residual oil in the pore is difficult to be recovered because it cannot pass through the throat. The radius of this part of remaining oil is usually 1.34 1.5 times that of the throat radius.

References

 

Armstrong, R.T., Ott, H., Georgiadis, A., et al. Subsecond pore-scale displacement processes and relaxation dynamics in multiphase flow. Water Resour. Res. 2014, 50(12): 9162-9176.

 

Beckingham, L.E., Peters, C.A., Um, W., et al. 2D and 3D imaging resolution trade-offs in quantifying pore throats for prediction of permeability. Adv. Water Resour. 2013, 62(a): 1-12.

 

Bryant, S.L., Anna, J. Bulk and film contributions to fluid/fluid interfacial area in granular media. Chem. Eng. Commun. 2004, 191(12): 1660-1670.

 

Chen, D., Pyrak‐Nolte, L.J., Griffin, J., et al. Measurement of interfacial area per volume for drainage and imbibition. Water Resour. Res. 2007, 43(12): W12504.

 

Chen, X., Verma, R., Espinoza, D.N., et al. Pore‐scale determination of gas relative permeability in hydrate‐bearing sediments using x‐ray computed micro‐tomography and lattice boltzmann method. Water Resour. Res. 2018, 54(1): 600-608.

 

Clarke, A., Howe, A.M., Mitchell, J., et al. How viscoelastic-polymer flooding enhances displacement efficiency. SPE J. 2016, 21(3): 675-687.

 

Dalla, E., Hilpert, M., Miller, C.T. Computation of the interfacial area for two-fluid porous medium systems. J. Contam. Hydrol. 2002, 56(1-2): 25-48.

 
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 SCA2014-036 Presented at 2014 International Symposium of the Society of Core Analysts, Avignon, France, 8-11 September, 2014.
 

Ge, X., Liu, J., Fan, Y., et al. Laboratory investigation into the formation and dissociation process of gas hydrate by low‐field NMR technique. J. Geophys. Res: Solid Earth 2018, 123(5): 3339-3346.

 

Georgiadis, A., Berg, S., Makurat, A., et al. Pore-scale micro-computed-tomography imaging: nonwetting-phase cluster-size distribution during drainage and imbibition. Phys. Rev. E. 2013, 88(3): 033002.

 

Golparvar, A., Zhou, Y., Wu, K., et al. A comprehensive review of pore scale modeling methodologies for multiphase flow in porous media. Adv. Geo-Energy Res. 2018, 2(4): 418-440.

 

Gu, X., Pu, C., Khan, N., et al. The visual and quantitative study of remaining oil micro-occurrence caused by spontaneous imbibition in extra-low permeability sandstone using computed tomography. Fuel 2019, 237: 152-162.

 

Guo, C., Wang, X., Wang, H., et al. Effect of pore structure on displacement efficiency and oil-cluster morphology by using micro computed tomography (μCT) technique. Fuel 2018, 230: 430-439.

 

Hou, J., Qiu, M., Lu, N., et al. Characterization of residual oil microdistribution at pore scale using computerized tomography. Acta Petrolei Sinica 2014, 35(2): 319-325. (in Chinese)

 

Jiang, Z., Wu, K., Couples, G., et al. Efficient extraction of networks from three-dimensional porous media. Water Resour. Res. 2007, 43(13): W12S03.

 

Kak, A.C., Slaney, M. Principles of computerized tomographic imaging. Med. Phys. 2002, 29(1): 107-107.

 

Kumar, M., Knackstedt, M.A., Senden, T.J., et al. Visualizing and quantifying the residual phase distribution in core material. Petrophysics 2010, 51(5): 323-332.

 

Li, J., Jiang, H., Wang, C., et al. Pore-scale investigation of microscopic remaining oil variation characteristics in water-wet sandstone using CT scanning. J. Nat. Gas Sci. Eng. 2017, 48: 36-45.

 

Liu, Z., Yang, Y., Yao, J., et al. Pore-scale remaining oil distribution under different pore volume water injection based on CT technology. Adv. Geo-Energy Res. 2017, 1(3): 171-181.

 

Lu, X., Gao, Z., Zhao, X., et al. Distribution regularities of remaining oil in heterogeneous reservoirs after polymer flooding. Acta Petrolei Sinica 1996, 17(4): 55-61. (in Chinese)

 

Mostaghimi, P., Blunt, M.J., Bijeljic, B. Computations of absolute permeability on micro-CT images. Math. Geosci. 2013, 45(1): 103-125.

 

Raeini, A.Q., Bijeljic, B., Blunt, M.J. Modelling capillary trapping using finite-volume simulation of two-phase flow directly on micro-CT images. Adv. Water Resour. 2015, 83: 102-110.

 

Rücker, M., Berg, S., Armstrong, R., et al. From connected pathway flow to ganglion dynamics. Geophys. Res. Lett. 2015, 42(10): 3888-3894.

 

Sahloul, N., Ioannidis, M., Chatzis, I. Dissolution of residual non-aqueous phase liquids in porous media: Pore-scale mechanisms and mass transfer rates. Adv. Water Resour. 2002, 25(1): 33-49.

 

Song, W., Yao, J., Li, Y., et al. Apparent gas permeability in an organic-rich shale reservoir. Fuel 2016, 181: 973-984.

 

Song, W., Yao, J., Wang, D., et al. Dynamic pore network modelling of real gas transport in shale nanopore structure. J. Pet. Sci. Eng. 2020, 184: 106506.

 

Vandersteen, K., Busselen, B., Van Den Abeele, K., et al. Quantitative characterization of fracture apertures using microfocus computed tomography. Geol. Soc. Spec. Publ. 2003, 215(1): 61-68.

 

Wang, D., Cheng, J., Wu, J., et al. Application of polymer flooding technology in daqing oilfield. Acta Petrolei Sinica 2005, 25(1): 74-78. (in Chinese)

 

Yancy-Caballero, D., Ling, L.Y., Fujita, A., et al. Intraparticle connectivity in sugarcane bagasse unveiled by pore network modeling. Bioenergy Res. 2019, 12: 546-557.

 

Yang, P., Guo, H., Yang, D. Determination of residual oil distribution during waterflooding in tight oil formations with NMR relaxometry measurements. Energy Fuels 2013, 27(10): 5750-5756.

 

Yang, Y., Liu, Z., Sun, Z., et al. Research on stress sensitivity of fractured carbonate reservoirs based on CT technology. Energies 2017, 10(11): 1833.

 

Yang, Y., Yang, H., Tao, L., et al. Microscopic determination of remaining oil distribution in sandstones with different permeability scales using computed tomography scanning. J. Energy Resour. Technol. 2019, 141(9): 092903.

 

Yang, Y., Yao, J., Wang, C., et al. New pore space characterization method of shale matrix formation by considering organic and inorganic pores. J. Nat. Gas Sci. Eng. 2015, 27(2): 496-503.

 

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. 2016, 36(a): 20-31.

 

Yao, J., Hu, R., Wang, C., et al. Multiscale pore structure analysis in carbonate rocks. Int. J. Multiscale Comput. Eng. 2015, 13(1): 1-9.

 

Zhou, Y., Helland, J., Hatzignatiou, D.G. Pore-scale modeling of waterflooding in mixed-wet-rock images: Effects of initial saturation and wettability. SPE J. 2014, 19(1): 88-100.

Advances in Geo-Energy Research
Pages 448-456
Cite this article:
Wang X, Yin H, Zhao X, et al. Microscopic remaining oil distribution and quantitative analysis of polymer flooding based on CT scanning. Advances in Geo-Energy Research, 2019, 3(4): 448-456. https://doi.org/10.26804/ager.2019.04.10

988

Views

137

Downloads

26

Crossref

0

Web of Science

32

Scopus

Altmetrics

Received: 23 November 2019
Revised: 10 December 2019
Accepted: 12 December 2019
Published: 15 December 2019
© The Author(s) 2019

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