A new method for calculating the primary porosity of unconsolidated sands based on packing texture: Application to modern beach sand | |
Yan, Yiming1,2; Zhang, Liqiang1,2; Luo, Xiaorong3; Li, Chao3; Hu, Fanjun1,2 | |
刊名 | MARINE AND PETROLEUM GEOLOGY |
2018-12-01 | |
卷号 | 98页码:384-396 |
关键词 | Primary porosity Mathematical model Packing texture Grain size distribution Beach sands |
ISSN号 | 0264-8172 |
DOI | 10.1016/j.marpetgeo.2018.08.033 |
英文摘要 | The primary porosity is one of the fundamental parameters for quantitatively predicting reservoir quality and studying diagenetic evolution. Primary porosity is usually estimated by empirical approaches or empirical formula, through using a single parameter, such as sorting or grain size. However, these methods have some disadvantages which lead to obvious errors. Primary porosity can be affected by multiple factors, such as particle size, sorting, grain shape and packing texture, therefor, one empirical formula is not practical for different type of sands. A new mathematical model is proposed in this paper for calculating the primary porosity of unconsolidated sands based on the concept of packing texture. The grain size, grain size distribution curve and packing texture are considered in this mathematical model. This paper tests the practicability of the mathematical model through using 40 modern beach sands sample collected from eastern China and 37 samples from literature. These modern beach sands in the study area can be divided into three types based on the particle size distribution curve. Each type sample is further divided into several units according to the particle size ratio. The mathematical model firstly calculates the primary porosity of two adjacent units by using the binary packing model, and then the primary porosity of the entire sand sample. The error of model-predicted primary porosity ranges between -2% and 2%, and the correlation coefficients are all above 0.9. As a comparison, the errors of empirical formula-predicted results range between -6% and 6%, and the correlation coefficient is 0.63. The newly-proposed mathematical model for the primary porosity based on grain size distribution and packing texture is more reliable compared to the traditional empirical formula. |
资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA14010202] ; National Science and Technology Major Project[2017ZX05008-004] ; Graduate innovation fund of China University of Petroleum[R1701014A] |
WOS关键词 | RESERVOIR QUALITY PREDICTION ; VOID RATIOS ; GAS-FIELD ; PERMEABILITY ; MINIMUM ; DEPRESSION ; DIAGENESIS ; MAXIMUM ; FACIES ; BASIN |
WOS研究方向 | Geology |
语种 | 英语 |
出版者 | ELSEVIER SCI LTD |
WOS记录号 | WOS:000451360000024 |
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 Science and Technology Major Project ; National Science and Technology Major Project ; Graduate innovation fund of China University of Petroleum ; Graduate innovation fund of China University of Petroleum ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Science and Technology Major Project ; National Science and Technology Major Project ; Graduate innovation fund of China University of Petroleum ; Graduate innovation fund of China University of Petroleum ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Science and Technology Major Project ; National Science and Technology Major Project ; Graduate innovation fund of China University of Petroleum ; Graduate innovation fund of China University of Petroleum ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Strategic Priority Research Program of the Chinese Academy of Sciences ; National Science and Technology Major Project ; National Science and Technology Major Project ; Graduate innovation fund of China University of Petroleum ; Graduate innovation fund of China University of Petroleum |
内容类型 | 期刊论文 |
源URL | [http://ir.iggcas.ac.cn/handle/132A11/89598] |
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 | Zhang, Liqiang |
作者单位 | 1.China Univ Petr East China, Qingdao 266580, Peoples R China 2.Qingdao Natl Lab Marine Sci & Technol, Qingdao 266071, Peoples R China 3.Chinese Acad Sci, Key Lab Petr Resource Res, Inst Geol & Geophys, Beijing 100029, Peoples R China |
推荐引用方式 GB/T 7714 | Yan, Yiming,Zhang, Liqiang,Luo, Xiaorong,et al. A new method for calculating the primary porosity of unconsolidated sands based on packing texture: Application to modern beach sand[J]. MARINE AND PETROLEUM GEOLOGY,2018,98:384-396. |
APA | Yan, Yiming,Zhang, Liqiang,Luo, Xiaorong,Li, Chao,&Hu, Fanjun.(2018).A new method for calculating the primary porosity of unconsolidated sands based on packing texture: Application to modern beach sand.MARINE AND PETROLEUM GEOLOGY,98,384-396. |
MLA | Yan, Yiming,et al."A new method for calculating the primary porosity of unconsolidated sands based on packing texture: Application to modern beach sand".MARINE AND PETROLEUM GEOLOGY 98(2018):384-396. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论