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  2. 地质与地球物理研究所
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New method to predict porosity loss during sandstone compaction based on packing texture

文献类型：期刊论文

作者Yan, Yiming1,3; Zhang, Liqiang1,3; Luo, Xiaorong2; Liu, Keyu3; Zhang, Likuan2; Jia, Tong1,3
刊名MARINE AND PETROLEUM GEOLOGY
出版日期2021-11-01
卷号133页码:18
关键词Porosity Sandstone Compaction Packing texture Reservoir quality
ISSN号0264-8172
DOI10.1016/j.marpetgeo.2021.105228
英文摘要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.
WOS关键词SATURATED HYDRAULIC CONDUCTIVITY ; RESERVOIR QUALITY ; RELATIVE IMPORTANCE ; VOID RATIOS ; SAND ; MODEL ; STRESS ; PERMEABILITY ; COMPRESSION ; CEMENTATION
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA14010202] ; National Natural Science Foundation of China[42002145] ; China Postdoctoral Science Foundation[2020M672173] ; Qingdao Applied Basic Research, National Science and Technology Major Project[2017ZX05008-004] ; Key Technology of Efficient Exploration and Development of Deep Oil and Gas in Tarim Basin[ZD2019-183] ; Fundamental Research Funds for the Central Universities[17CX06043]
WOS研究方向Geology
语种英语
WOS记录号WOS:000709300200001
出版者ELSEVIER SCI LTD
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Qingdao Applied Basic Research, National Science and Technology Major Project ; Qingdao Applied Basic Research, National Science and Technology Major Project ; Key Technology of Efficient Exploration and Development of Deep Oil and Gas in Tarim Basin ; Key Technology of Efficient Exploration and Development of Deep Oil and Gas in Tarim Basin ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Qingdao Applied Basic Research, National Science and Technology Major Project ; Qingdao Applied Basic Research, National Science and Technology Major Project ; Key Technology of Efficient Exploration and Development of Deep Oil and Gas in Tarim Basin ; Key Technology of Efficient Exploration and Development of Deep Oil and Gas in Tarim Basin ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Qingdao Applied Basic Research, National Science and Technology Major Project ; Qingdao Applied Basic Research, National Science and Technology Major Project ; Key Technology of Efficient Exploration and Development of Deep Oil and Gas in Tarim Basin ; Key Technology of Efficient Exploration and Development of Deep Oil and Gas in Tarim Basin ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; China Postdoctoral Science Foundation ; China Postdoctoral Science Foundation ; Qingdao Applied Basic Research, National Science and Technology Major Project ; Qingdao Applied Basic Research, National Science and Technology Major Project ; Key Technology of Efficient Exploration and Development of Deep Oil and Gas in Tarim Basin ; Key Technology of Efficient Exploration and Development of Deep Oil and Gas in Tarim Basin ; Fundamental Research Funds for the Central Universities ; Fundamental Research Funds for the Central Universities
源URL[http://ir.iggcas.ac.cn/handle/132A11/103012]  
专题地质与地球物理研究所_中国科学院油气资源研究重点实验室
通讯作者Yan, Yiming; Zhang, Liqiang
作者单位1.China Univ Petr, Key Lab Deep Oil & Gas, Qingdao 266555, Peoples R China
2.Chinese Acad Sci, Inst Geol & Geophys, Beijing 100029, Peoples R China
3.China Univ Petr, Sch Geosci, Qingdao 266555, Peoples R China
推荐引用方式
GB/T 7714		 Yan, Yiming,Zhang, Liqiang,Luo, Xiaorong,et al. New method to predict porosity loss during sandstone compaction based on packing texture[J]. MARINE AND PETROLEUM GEOLOGY,2021,133:18.
APA Yan, Yiming,Zhang, Liqiang,Luo, Xiaorong,Liu, Keyu,Zhang, Likuan,&Jia, Tong.(2021).New method to predict porosity loss during sandstone compaction based on packing texture.MARINE AND PETROLEUM GEOLOGY,133,18.
MLA Yan, Yiming,et al."New method to predict porosity loss during sandstone compaction based on packing texture".MARINE AND PETROLEUM GEOLOGY 133(2021):18.

入库方式： OAI收割

来源：地质与地球物理研究所

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