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
  • [1] Digital Rock Physics Using CT scans to compute rock properties
    Al-Marzouqi, Hasan
    IEEE SIGNAL PROCESSING MAGAZINE, 2018, 35 (02) : 121 - 131
  • [2] Computing wave velocity of rock sample using rock chips and cuttings
    Khodaei, Parisa
    Karimpouli, Sadegh
    Balcewicz, Martin
    Saenger, Erik H.
    JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2022, 209
  • [3] Characterization of elastic properties in a sandstone rock sample using digital rock physics
    Dariam Rivero-Mendez, Smelinyer
    David Ordonez-Martinez, Juan
    Sebastian Correa-Diaz, Carlos
    Dario Mantilla-Hernandez, Hernan
    Andres Gonzalez-Estrada, Octavio
    UIS INGENIERIAS, 2022, 21 (01): : 211 - 222
  • [4] Pore to core plug scale characterization of porosity and permeability heterogeneities in a Cretaceous carbonate reservoir using laboratory measurements and digital rock physics, Abu Dhabi, United Arab Emirates
    Alabere, Abdulquadri O.
    Jouini, Mohamed Soufiane
    Alsuwaidi, Mohammad
    Morad, Daniel
    Nader, Fadi H.
    Bouchalaa, Fateh
    Al-Shalabi, Emad W.
    Al Jallad, Osama
    MARINE AND PETROLEUM GEOLOGY, 2025, 172
  • [5] Research on the equivalence between digital core and rock physics models
    Yin, Xingyao
    Zheng, Ying
    Zong, Zhaoyun
    JOURNAL OF GEOPHYSICS AND ENGINEERING, 2017, 14 (03) : 666 - 674
  • [6] Digital rock physics in four dimensions: simulating cementation and its effect on seismic velocity
    Singh, J.
    Cilli, P. A.
    Hosa, A.
    Main, I. G.
    GEOPHYSICAL JOURNAL INTERNATIONAL, 2020, 222 (03) : 1606 - 1619
  • [7] Estimation of reservoir properties with inverse digital rock physics modeling approach
    Yin XingYao
    Zheng Ying
    Zong ZhaoYun
    Lin LiMing
    CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2019, 62 (02): : 720 - 729
  • [8] Scaling Issues in Estimation of Pore Space Using Digital Rock Physics
    Malik, Shruti
    Sharma, Ravi
    PETRO-PHYSICS AND ROCK PHYSICS OF CARBONATE RESERVOIRS: LIKELY ELUCIDATIONS AND WAY FORWARD, 2020, : 177 - 187
  • [9] Digital rock physics benchmarks-part II: Computing effective properties
    Andrae, Heiko
    Combaret, Nicolas
    Dvorkin, Jack
    Glatt, Erik
    Han, Junehee
    Kabel, Matthias
    Keehm, Youngseuk
    Krzikalla, Fabian
    Lee, Minhui
    Madonna, Claudio
    Marsh, Mike
    Mukerji, Tapan
    Saenger, Erik H.
    Sain, Ratnanabha
    Saxena, Nishank
    Ricker, Sarah
    Wiegmann, Andreas
    Zhan, Xin
    COMPUTERS & GEOSCIENCES, 2013, 50 : 33 - 43
  • [10] Multiscale Digital Porous Rock Reconstruction Using Template Matching
    Lin, W.
    Li, X.
    Yang, Z.
    Manga, M.
    Fu, X.
    Xiong, S.
    Gong, A.
    Chen, G.
    Li, H.
    Pei, L.
    Li, S.
    Zhao, X.
    Wang, X.
    WATER RESOURCES RESEARCH, 2019, 55 (08) : 6911 - 6922