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Transport in Porous Media

, Volume 125, Issue 1, pp 41–58 | Cite as

Effect of 2D Image Resolution on 3D Stochastic Reconstruction and Developing Petrophysical Trend

  • Hossein Izadi
  • Majid BaniassadiEmail author
  • Fateme Hormozzade
  • Fayyaz Nosouhi Dehnavi
  • Ali Hasanabadi
  • Hossein Memarian
  • Hamid Soltanian-Zadeh
Article

Abstract

Multi-resolution digital rock physics (DRP) makes it possible to up-scale petrophysical properties from micron size to core sample size using two-dimensional (2D) thin section images. Resolution of 3D images and sample size are challenging problems in DRP where high-resolution images are acquired from small samples using inefficient and expensive micro-CT facilities. Three-dimensional stochastic reconstruction is an alternative approach to overcome these challenges. In this paper, we use multi-resolution images and investigate effect of 2D image resolution on 3D stochastic reconstruction and development of petrophysical trends for our two sandstone and carbonate original representative volume elements (RVEs). The proposed method includes three steps. In the first step, the spatial resolution of our original RVEs is decreased synthetically. In the second step, stochastic RVEs are realized for each resolution using two perpendicular images, correlation functions, and phase recovery algorithm. In the reconstruction method, a full set of two-point correlation functions (TPCFs) is extracted from two perpendicular 2D images. Then TPCF vectors are decomposed and averaged to realize 3D stochastic RVEs. In the third step, petrophysical properties like relative and absolute permeability as well as porosity and formation factor are computed. The output is used to develop trends for petrophysical properties in different resolutions. Experimental results illustrate that the proposed method can be used to predict petrophysical properties and reconstruct 3D RVEs for resolutions unavailable in the acquired 2D or 3D data.

Keywords

Multi-resolution digital rock physics Petrophysical trend 3D reconstruction Image resolution Phase recovery 

Notes

Acknowledgements

This work was supported in part by the Iran National Science Foundation (INSF), Tehran, Iran. The authors also thank the Petroleum Engineering & Rock Mechanics (PERM) Group from the Department of Earth Science and Engineering, Imperial College London, London, England, for providing the sandstone and carbonate images.

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© Springer Science+Business Media B.V., part of Springer Nature 2018

Authors and Affiliations

  • Hossein Izadi
    • 1
  • Majid Baniassadi
    • 2
    Email author
  • Fateme Hormozzade
    • 1
  • Fayyaz Nosouhi Dehnavi
    • 2
  • Ali Hasanabadi
    • 3
  • Hossein Memarian
    • 1
  • Hamid Soltanian-Zadeh
    • 4
    • 5
  1. 1.Department of Petroleum Exploration Engineering, School of Mining Engineering, College of EngineeringUniversity of TehranTehranIran
  2. 2.School of Mechanical Engineering, College of EngineeringUniversity of TehranTehranIran
  3. 3.Department of Mechanical EngineeringUniversity of BirjandBirjandIran
  4. 4.Control and Intelligent Processing Center of Excellence (CIPCE), School of Electrical and Computer Engineering, College of EngineeringUniversity of TehranTehranIran
  5. 5.Medical Image Analysis Laboratory, Departments of Radiology and Research AdministrationHenry Ford Health SystemDetroitUSA

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