New method to predict porosity loss during sandstone compaction based on packing texture

被引:9
作者
Yan, Yiming [1 ,2 ]
Zhang, Liqiang [1 ,2 ]
Luo, Xiaorong [3 ]
Liu, Keyu [1 ]
Zhang, Likuan [3 ]
Jia, Tong [1 ,2 ]
机构
[1] China Univ Petr, Sch Geosci, Qingdao 266555, Peoples R China
[2] China Univ Petr, Key Lab Deep Oil & Gas, Qingdao 266555, Peoples R China
[3] Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Porosity; Sandstone; Compaction; Packing texture; Reservoir quality; SATURATED HYDRAULIC CONDUCTIVITY; RESERVOIR QUALITY; RELATIVE IMPORTANCE; VOID RATIOS; SAND; MODEL; STRESS; PERMEABILITY; COMPRESSION; CEMENTATION;
D O I
10.1016/j.marpetgeo.2021.105228
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The grain packing texture of underground sandstone tends to be a major controlling factor in porosity loss during compaction when the effective stress and buried depth increase. However, existing models used to predict porosity loss during sandstone compaction mostly disregard the grain packing texture of sandstone. Based on the micromechanical parameters of discrete element method (DEM) numerical simulation reported in literature, we designed one-component, binary, and ternary packing textures with different grain size distributions and subsequently performed compaction under triaxial servo simulation. We monitored the porosity loss, grain displacement, and force acting on the grain contact point during compaction. Based on the packing texture in sandstone, we propose a new method that considers varying grain sizes, grain size contents, and packing texture types to determine porosity loss during compaction without grain crushing and plastic deformation. The applicability of the method under theoretical conditions was evaluated with 5, 31, and 53 types of onecomponent, binary, and ternary packing textures. The correlation coefficient between the predicted and simulated values of the void ratio change (oe) was 0.999 and 0.985 for the binary and ternary packing textures, respectively. The reliability of the proposed method was verified using nine groups of physical experimental data derived from literature. The results showed a correlation coefficient of 0.88 between the measured and predicted values of oe and porosity loss (o phi). Errors in physical experimental data were derived mainly from grain shape and the crushing of coarse grains. Although the predicted physical experimental data oe and o phi were inferior to DEM simulation data, our model was deemed reliable since it showed high correlation between predicted and measured values of oe and o phi. Furthermore, the proposed method characterized the influence of the micromechanical process of grain rotation and grain packing texture on reservoir quality during compaction, thereby establishing its importance in predicting reservoir quality of underground sandstone.
引用
收藏
页数:18
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共 69 条
[1]   Strain-Rate Effects in Mexico City Soil [J].
Abraham Diaz-Rodriguez, J. ;
Martinez-Vasquez, Jose ;
Santamarina, J. Carlos .
JOURNAL OF GEOTECHNICAL AND GEOENVIRONMENTAL ENGINEERING, 2009, 135 (02) :300-305
[2]  
Ahmed M., 2020, Ira. J. Sci., V61, P92, DOI [10.24996/ijs.2020.61.1.10, DOI 10.24996/IJS.2020.61.1.10]
[3]   X-ray Computed Tomography Imaging of the Microstructure of Sand Particles Subjected to High Pressure One-Dimensional Compression [J].
al Mahbub, Asheque ;
Haque, Asadul .
MATERIALS, 2016, 9 (11)
[4]  
[Anonymous], SAND SANDSTONE
[5]  
Athy L.F., 1930, AAPG B, V14, P1
[6]   NATURAL COMPRESSION LAW FOR SOILS (AN ADVANCE ON E-LOG P') [J].
BUTTERFIELD, R .
GEOTECHNIQUE, 1979, 29 (04) :469-480
[7]   Maximum and minimum void ratios for sand-silt mixtures [J].
Chang, C. S. ;
Wang, J. Y. ;
Ge, L. .
ENGINEERING GEOLOGY, 2016, 211 :7-18
[8]   A multi-variable equation for relationship between limiting void ratios of uniform sands and morphological characteristics of their particles [J].
Chang, Ching S. ;
Deng, Yibing ;
Meidani, Mehrashk .
ENGINEERING GEOLOGY, 2018, 237 :21-31
[9]   A compression model for sand-silt mixtures based on the concept of active and inactive voids [J].
Chang, Ching S. ;
Meidani, Mehrashk ;
Deng, Yibing .
ACTA GEOTECHNICA, 2017, 12 (06) :1301-1317
[10]   Modeling of minimum void ratio for sand-silt mixtures [J].
Chang, Ching S. ;
Wang, Jia-Yi ;
Ge, Louis .
ENGINEERING GEOLOGY, 2015, 196 :293-304