Computing heterogeneous core sample velocity using Digital Rock Physics: A multiscale approach

被引:22
|
作者
Karimpouli, Sadegh [1 ]
Faraji, Asra [1 ]
Balcewicz, Martin [2 ,3 ]
Saenger, Erik H. [2 ,3 ]
机构
[1] Univ Zanjan, Fac Engn, Min Engn Grp, Zanjan, Iran
[2] Bochum Univ Appl Sci, Int Geothermal Ctr, Bochum, Germany
[3] Ruhr Univ Bochum, Bochum, Germany
关键词
Digital rock physics (DRP); Heterogeneous carbonate; Multiscale; Core sample velocity; ELASTIC-MODULI; THIN-SECTIONS; 3D PROPERTIES; POROSITY; IMAGES; TOMOGRAPHY; RECONSTRUCTION; PERMEABILITY; PROPAGATION; MEDIA;
D O I
10.1016/j.cageo.2019.104378
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Digital Rock Physics (DRP) is an effective approach to compute physical properties of rock using high-resolution 3D images. Although micro-scale structures are well studied in DRP, micro computed tomography (mu CT) scanners are still not widely available and imaging could be both expensive and time consuming. Moreover, there is always a trade-off between image resolution and sample size. The later issue is crucial especially in heterogeneous samples such as carbonates. in this study, we propose a multiscale procedure and computed wave velocity of three heterogeneous travertine (calcite) samples with the exact core size of 55 mm diameter. This procedure is conducted using relatively cheap and widely available imaging tools, namely medical CT scanner and conventional microscope. In a low-resolution step, 3D CT-images with 200 mu m resolution are obtained and used to compute porosity cubes by a three-phase segmentation (mineral, pore and sub-resolution). In a high-resolution step, elastic moduli are computed using 2D microscopic images with 1 mu m resolution and converted into 3D properties using a 2D-to-3D DRP method. The obtained micro-trends of effective elastic moduli are analytically approximated using the modified Differential Effective Medium (DEM) model. Low-resolution porosity cubes and high-resolution micro-trends are combined to obtain 3D cubes of elastic moduli and density. Finally, a dynamic Finite Difference Method (FDM) is used to propagate P- and S-waves through these samples for velocity computations. Comparison of lab and computed results showed that the errors of P- and S-wave velocities vary from 3.4% to 7% and from 6.7% to 11.1%, respectively.
引用
收藏
页数:10
相关论文
共 41 条
  • [31] An evaluation of empirical and rock physics models to estimate shear wave velocity in a potential shale gas reservoir using wireline logs
    Sohail, Ghulam Mohyuddin
    Hawkes, Christopher D.
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 185
  • [32] Investigation of Hydraulic Fracturing Behavior in Heterogeneous Laminated Rock Using a Micromechanics-Based Numerical Approach
    Zhao, Haijun
    Tannant, Dwayne D.
    Ma, Fengshan
    Guo, Jie
    Feng, Xuelei
    ENERGIES, 2019, 12 (18)
  • [33] A computationally efficient modeling of flow in complex porous media by coupling multiscale digital rock physics and deep learning: Improving the tradeoff between resolution and field-of-view
    Nabipour, Iman
    Raoof, Amir
    Cnudde, Veerle
    Aghaei, Hamed
    Qajar, Jafar
    ADVANCES IN WATER RESOURCES, 2024, 188
  • [34] Flow capacity characterization of unconventional natural gas bearing rocks using digital rock physics: A comparison between advection and diffusion
    Xu, Rui
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 215
  • [35] Numerical Simulation Study of Brittle Rock Materials from Micro to Macro Scales Using Digital Image Processing and Parallel Computing
    Liu, Xin
    Liang, Zhengzhao
    Meng, Siwei
    Tang, Chunan
    Tao, Jiaping
    APPLIED SCIENCES-BASEL, 2022, 12 (08):
  • [36] Digital core approach to the effects of clay on the electrical properties of saturated rocks using lattice gas automation
    Yue Wen-Zheng
    Tao Guo
    Chai Xi-Yuan
    Cui Dong-Zi
    APPLIED GEOPHYSICS, 2011, 8 (01) : 11 - 17
  • [37] Application of digital rock physics using X-ray CT for study on alteration of macropore properties by CO2 EOR in a carbonate oil reservoir
    Han, Jinju
    Han, Sunlee
    Kang, Dong Hun
    Kim, Yejin
    Lee, Jeonghwan
    Lee, Youngsoo
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2020, 189
  • [38] Estimating dry rock frame moduli of high-resolution 3D digital rock images using the contact-mechanics-based effective medium approach
    Kerimov, Abdulla
    Cook, Jennie
    Lane, Nathan
    Lakshtanov, Dmitry
    Gettemy, Glen
    GEOPHYSICS, 2020, 85 (04) : MR235 - MR243
  • [39] Multiscale Assimilation of Sentinel and Landsat Data for Soil Moisture and Leaf Area Index Predictions Using an Ensemble-Kalman-Filter-Based Assimilation Approach in a Heterogeneous Ecosystem
    Montaldo, Nicola
    Gaspa, Andrea
    Corona, Roberto
    REMOTE SENSING, 2022, 14 (14)
  • [40] Image-Based Multi-scale Reconstruction of Unresolved Microporosity in 3D Heterogeneous Rock Digital Twins Using Cross-Correlation Simulation and Watershed Algorithm
    Moslemipour, Abolfazl
    Sadeghnejad, Saeid
    Enzmann, Frieder
    Khoozan, Davood
    Hupfer, Sarah
    Schaefer, Thorsten
    Kersten, Michael
    TRANSPORT IN POROUS MEDIA, 2024, 151 (10-11) : 2215 - 2240