RESEARCH PAPER

Estimating pore volume compressibility by spheroidal pore modeling of digital rocks

  • Weibo SUI ,
  • Zihan QUAN ,
  • Yanan HOU ,
  • Haoran CHENG
Expand
  • 1. State Key Laboratory of Petroleum Resources and Prospecting, China University of Petroleum, Beijing 102249, China
    2. College of Petroleum Engineering, China University of Petroleum, Beijing 102249, China
    3. Research Institute of Tsinghua University in Shenzhen, Shenzhen 518057, China
    4. ICORE GROUP, Shenzhen 518057, China

Received date: 2019-07-03

  Revised date: 2020-02-05

  Online published: 2020-06-19

Supported by

National Natural Science Foundation of China(51474224);Shenzhen Peacock Plan(KQTD2017033114582189);Shenzhen Science and Technology Innovation Committee(JCYJ20170817152743178)

Abstract

The real pores in digital cores were simplified into three abstractive types, including prolate ellipsoids, oblate ellipsoids and spheroids. The three-dimensional spheroidal-pore model of digital core was established based on mesoscopic mechanical theory. The constitutive relationship of different types of pore microstructure deformation was studied with Eshelby equivalent medium theory, and the effects of pore microstructure on pore volume compressibility under elastic deformation conditions of single and multiple pores of a single type and mixed types of pores were investigated. The results showed that the pore volume compressibility coefficient of digital core is closely related with porosity, pore aspect ratio and volumetric proportions of different types of pores. (1) The compressibility coefficient of prolate ellipsoidal pore is positively correlatezd with the pore aspect ratio, while that of oblate ellipsoidal pore is negatively correlated with the pore aspect ratio. (2) At the same mean value of pore aspect ratio satisfying Gaussian distribution, the more concentrated the range of pore aspect ratio, the higher the compressibility coefficient of both prolate and oblate ellipsoidal pores will be, and the larger the deformation under the same stress condition. (3) The pore compressibility coefficient increases with porosity. (4) At a constant porosity value, the higher the proportion of oblate ellipsoidal and spherical pores in the rock, the more easier for the rock to deform, and the higher the compressibility coefficient of the rock is, while the higher the proportion of prolate ellipsoidal pores in the rock, the more difficult it is for rock to deform, and the lower the compressibility coefficient of the rock is. By calculating pore compressibility coefficient of ten classical digital rock samples, the presented analytical elliptical-pore model based on real pore structure of digital rocks can be applied to calculation of pore volume compressibility coefficient of digital rock sample.

Cite this article

Weibo SUI , Zihan QUAN , Yanan HOU , Haoran CHENG . Estimating pore volume compressibility by spheroidal pore modeling of digital rocks[J]. Petroleum Exploration and Development, 2020 , 47(3) : 603 -612 . DOI: 10.1016/S1876-3804(20)60077-5

References

[1] TORQUATO S. Random heterogeneous material: Microstructure and macroscopic properties. New York: Springer, 2002: 1-3.
[2] ARNS C, KNACKSTEDT M, PINCZEWSKI W. Computation of linear elastic properties from microtomographic images: Methodology and agreement between theory and experiment. Geophysics, 2002,67(5):1396-1405.
[3] ZIMMERMAN R. The effect of pore structure on the pore and bulk compressibilites of consolidated sandstones. Berkeley, USA: University of California, 1979: 36.
[4] YAO Jun, SUN Hai, LI Aifen, et al. Modern system of multiphase flow in porous media and its development trend. Chinese Science Bulletin, 2018,63(4):425-451.
[5] LIN Chengyan, WU Yuqi, REN Lihua, et al. Review of digital core modeling methods. Progress in Geophysics, 2018,33(2):679-689.
[6] ANDRA H, COMBARET N, DVORKIN J, et al. Digital rock physics benchmarks—Part Ⅰ: Imaging and segmentation. Computers & Geosciences, 2013,50(1):25-32.
[7] HAN J, COMBARET N, DVORKIN J, et al. Digital rock physics benchmarks—Part Ⅱ: Computing effective properties. Computers & Geosciences, 2013,50(1):33-43.
[8] WALLS J, ARMBRUSTER M. Shale reservoir evaluation improved by dual energy X-ray CT imaging. Journal of Petroleum Technology, 2012,64(11):28-32.
[9] SUN H, VEGA S, TAO G. Analysis of heterogeneity and permeability anisotropy in carbonate rock samples using digital rock physics. Journal of Petroleum Science and Engineering, 2017,156(7):419-429.
[10] LI Junjian, LIU Yang, GAO Yajun, et al. Effects of microscopic pore structure heterogeneity on the distribution and morphology of remaining oil. Petroleum Exploration and Development, 2018,45(6):1043-1052.
[11] CAO Nai, LEI Gang. Stress sensitivity of tight reservoir during pressure loading and unloading process. Petroleum Exploration and Development, 2019,46(1):132-138.
[12] DAKE L. Fundamentals of reservoir engineering. Amsterdam: Elsevier, 1978: 71-76.
[13] KAMAL M. Transient well testing. Richardson, TX: Society of Petroleum Engineers, 2009: 8-9
[14] SADOWSKY M, STERNBERG E, CHICAGO H. Stress concentration around an ellipsoidal cavity in an infinite body under arbitrary plane stress perpendicular to the axis of revolution of cavity. Journal of Applied Mechanics, 1947,14(3):191-201.
[15] SADOWSKY M, STERNBERG E. Stress concentration around a triaxial ellipsoidal cavity. Journal of Applied Mechanics, 1949,16(2):149-157.
[16] MAVKO G, MUKERJI T, DVORKIN J. The rock physics handbook: Tools for seismic analysis of porous media. Cambridge: Cambridge University Press, 2009: 58-59.
[17] ESHELBY J D. The determination of the elastic field of an ellipsoidal inclusion, and related problems. Proceedings of the Royal Society of London, 1957,241(1226):376-396.
[18] HILL R. A self-consistent mechanics of composite materials. Journal of the Mechanics and Physics of Solids, 1965,13(4):213-222.
[19] BUDIANSKY B. On the elastic moduli of some heterogeneous materials. Journal of the Mechanics and Physics of Solids, 1965,13(4):223-227.
[20] WU T. The effect of inclusion shape on the elastic moduli of a two-phase material. International Journal of Solids and Structures, 1966,2(1):1-8.
[21] ZHANG Yan, HAN Lin. Foundation of mesomechanics. Beijing: China Science Publishing & Media Ltd, 2014: 92.
[22] UT AUSTIN. Digital rock portal. ( 2018-01-18) [2019-11-25]. https://edx.netl.doe.gov/dataset/digital-rock-portal.
[23] DONG H. Micro-CT imaging and pore network extraction. London: Imperial College, 2007.
Outlines

/