Effects of local rock heterogeneities on the hydromechanics of fractured rocks using a digital-image-based technique

被引:71
作者
Zhu, W. C.
Liu, J. [1 ]
Yang, T. H.
Sheng, J. C.
Elsworth, D.
机构
[1] Univ Western Australia, Sch Oil & Gas Engn, Perth, WA 6009, Australia
[2] Northeastern Univ, Ctr Rock Instabil & Seismic Res, Shenyang 110004, Peoples R China
[3] Penn State Univ, Dept Energy & Geoenvironm Engn, University Pk, PA 16802 USA
基金
中国国家自然科学基金;
关键词
rock; heterogeneity; coupled hydromechanics; digital-image-based (DIB) technique; failure process; numerical simulation;
D O I
10.1016/j.ijrmms.2006.03.009
中图分类号
P5 [地质学];
学科分类号
0709 ; 081803 ;
摘要
A digital-image-based (DIB) finite element approach is developed based on the numerical code rock failure process analysis (RFPA) to characterize micro-scale rock heterogeneity, and to understand the impact of micro-scale rock heterogeneity on the macro-scale hydromechanical response of rocks. The DIB technique incorporates small-scale spatial variability of initial deformation modulus, strength and permeability directly into a coupled hydromechanical model. Variability in Young's modulus, strength, and permeability is applied by a property map defined from the pixel-scale of a digital image. In the RFPA, mechanical deformation is followed, including the accumulation of damage applied in individual elements, which modifies modulus, strength, and permeability with the intensity of damage. The RFPA simulates progressive failure in fractured rocks, representing both the growth of existing fractures and the formation of new fractures, without having to identify crack tips and their interaction explicitly. In this DIB simulation approach, image voxels are used to give equivalent mechanical and flow properties. These property maps are ported to the model capable of solving directly for the evolving deformation, and fluid flow fields. The model is validated through comparisons of the simulated results with phenomenological observations documented in previous studies. The validated model is then applied to investigate the hydromechanical response of fractured rock characterized by digital image. The model is able to reproduce the spatial evolution of damage in the sample, the coalescence of existing cracks, and the formation of new cracks. (c) 2006 Elsevier Ltd. All rights reserved.
引用
收藏
页码:1182 / 1199
页数:18
相关论文
共 33 条
[1]   Effective stress law for the permeability of clay-rich sandstones [J].
Al-Wardy, W ;
Zimmerman, RW .
JOURNAL OF GEOPHYSICAL RESEARCH-SOLID EARTH, 2004, 109 (B4) :B042031-10
[2]   Analysis of compressive fracture in rock using statistical techniques: Part I. A non-linear rule-based model [J].
Blair, SC ;
Cook, NGW .
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 1998, 35 (07) :837-848
[3]   A numerical model for thermo-hydro-mechanical coupling in fractured rock [J].
Bower, KM ;
Zyvoloski, G .
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 1997, 34 (08) :1201-1211
[4]   A NOTE ON BRITTLE CRACK GROWTH IN COMPRESSION [J].
BRACE, WF ;
BOMBOLAKIS, EG .
JOURNAL OF GEOPHYSICAL RESEARCH, 1963, 68 (12) :3709-+
[5]   NOTE ON PERMEABILITY CHANGES IN GEOLOGIC MATERIAL DUE TO STRESS [J].
BRACE, WF .
PURE AND APPLIED GEOPHYSICS, 1978, 116 (4-5) :627-633
[6]   Digital image-based numerical modeling method for prediction of inhomogeneous rock failure [J].
Chen, S ;
Yue, ZQ ;
Tham, LG .
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES, 2004, 41 (06) :939-957
[7]   Some fields of applications of automatic image analysis in civil engineering [J].
Chermant, JL ;
Chermant, L ;
Coster, M ;
Dequiedt, AS ;
Redon, C .
CEMENT & CONCRETE COMPOSITES, 2001, 23 (2-3) :157-169
[8]   Digital image processing for non-linear system identification [J].
Chung, HC ;
Liang, J ;
Kushiyama, S ;
Shinozuka, M .
INTERNATIONAL JOURNAL OF NON-LINEAR MECHANICS, 2004, 39 (05) :691-707
[9]   3D reconstitution of porous media from image processing data using a multiscale percolation system [J].
Daïan, JF ;
Fernandes, CP ;
Philippi, PC ;
Neto, JABD .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2004, 42 (01) :15-28
[10]  
Gonzalez R.C., 1992, DIGITAL IMAGE PROCES