Estimating elastic moduli of rocks from thin sections: Digital rock study of 3D properties from 2D images

被引:60
|
作者
Saxena, Nishank [1 ,2 ]
Mavko, Gary [2 ]
机构
[1] Shell Int Explorat & Prod, Shell Technol Ctr Houston, Houston, TX USA
[2] Stanford Univ, Dept Geophys, Rock Phys Lab, Stanford, CA 94305 USA
关键词
Digital rock; Image segmentation; Elastic moduli; Sandstone; Carbonate; Thin sections; TRANSPORT-PROPERTIES; PHYSICS;
D O I
10.1016/j.cageo.2015.12.008
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Estimation of elastic rock moduli using 2D plane strain computations from thin sections has several numerical and analytical advantages over using 3D rock images, including faster computation, smaller memory requirements, and the availability of cheap thin sections. These advantages, however, must be weighed against the estimation accuracy of 3D rock properties from thin sections. We present a new method for predicting elastic properties of natural rocks using thin sections. Our method is based on a simple power-law transform that correlates computed 2D thin section moduli and the corresponding 3D rock moduli. The validity of this transform is established using a dataset comprised of FEM-computed elastic moduli of rock samples from various geologic formations, including Fontainebleau sandstone, Berea sandstone, Bituminous sand, and Grossmont carbonate. We note that using the power-law transform with a power-law coefficient between 0.4-0.6 contains 2D moduli to 3D moduli transformations for all rocks that are considered in this study. We also find that reliable estimates of P-wave (Vp) and S-wave velocity (Vs) trends can be obtained using 2D thin sections. (C) 2015 Elsevier Ltd. All rights reserved.
引用
收藏
页码:9 / 21
页数:13
相关论文
共 50 条
  • [1] Estimating permeability from thin sections without reconstruction: Digital rock study of 3D properties from 2D images
    Saxena, Nishank
    Mavko, Gary
    Hofmann, Ronny
    Srisutthiyakorn, Nattavadee
    COMPUTERS & GEOSCIENCES, 2017, 102 : 79 - 99
  • [2] Estimating 3D elastic moduli of rock from 2D thin-section images using differential effective medium theory
    Karimpouli, Sadegh
    Tahmasebi, Pejman
    Saenger, Erik H.
    GEOPHYSICS, 2018, 83 (04) : MR211 - MR219
  • [3] Predicting elastic properties and permeability of rocks from 2D thin sections
    Srisutthiyakorn N.
    Hunter S.
    Sarker R.
    Hofmann R.
    Espejo I.
    Srisutthiyakorn, Nattavadee (natts@stanford.edu), 2018, Society of Exploration Geophysicists (37): : 421 - 427
  • [4] Estimating 3D Objects from 2D Images using 3D Transformation Network
    Ul Islam, Naeem
    Park, Jaebyung
    2021 18TH INTERNATIONAL CONFERENCE ON UBIQUITOUS ROBOTS (UR), 2021, : 471 - 475
  • [5] Estimating elastic properties of tissues from standard 2D ultrasound images
    Kybic, J
    Smutek, D
    MEDICAL IMAGING 2005: ULTRASONIC IMAGING AND SIGNAL PROCESSING, 2005, 5750 : 184 - 195
  • [6] CREATING 3D DRAWING FROM 2D DIGITAL IMAGES WITH PHOTOGRAMMETRY
    Kitagawa, E.
    Sugimachi, T.
    PROCEEDINGS OF THE FIRST INTERNATIONAL CONFERENCE ON SUSTAINABLE URBANIZATION (ICSU 2010), 2010, : 213 - 217
  • [7] Study on 3D Model Reconstruction of Vehicles from 2D Images
    Zhang, Huaishan
    Gao, Guanbin
    Li, Bo
    MACHINE DESIGN AND MANUFACTURING ENGINEERING III, 2014, : 625 - 628
  • [8] Face recognition from 2D and 3D images
    Wang, YJ
    Chua, CS
    Ho, YK
    AUDIO- AND VIDEO-BASED BIOMETRIC PERSON AUTHENTICATION, PROCEEDINGS, 2001, 2091 : 26 - 31
  • [9] 3D object understanding from 2D images
    Wang, PSP
    INTERNATIONAL SYMPOSIUM ON MULTISPECTRAL IMAGE PROCESSING, 1998, 3545 : 33 - 43
  • [10] 3D shape reconstruction from 2D images
    Hirano, Daisuke
    Funayama, Yusuke
    Maekawa, Takashi
    Computer-Aided Design and Applications, 2009, 6 (05): : 701 - 710