Climate Change Data Portal
| DOI | 10.1306/05021917345 |
| Carbonate rocks: Matrix permeability estimation | |
| Cardona A.; Santamarina J.C. | |
| 发表日期 | 2020 |
| ISSN | 0149-1423 |
| 起始页码 | 131 |
| 结束页码 | 144 |
| 卷号 | 104期号:1 |
| 英文摘要 | Carbonate rocks store half of the world's proven oil reserves. Genesis and postdepositional diagenetic processes define the porous network topology and the matrix permeability. This study compiles a database of porosity, specific surface, mercury porosimetry, and permeability values extracted from published sources and complements the database through a focused experimental study. Specific surface and porosity combine to estimate the pore size (Dsur). Permeability versus Dsur data cluster along a single trend with a slope of 2 in a log-log scale, which is in agreement with the Kozeny-Carman model. Discordant data points correspond to samples with dual porosity or broad pore-size distributions with long tails, where flow channels along larger interconnected pores. Indeed, the detailed analysis of all the porosimetry data in the database shows that permeability correlates best with the pore size D80, that is, the 80th percentile in pore-size distributions. Once again, the best fit is a power function in terms of (D80)2, analogous to Kozeny-Carman. The prediction uncertainty usingD80 is one order of magnitude and has the same degree of uncertainty as more complex models and analyses. This observation suggests an irreducible uncertainty of one order ofmagnitude in permeability estimation from index properties such as porosity,mercury porosimetry, and specific surface probably resulting from specimen preparation effects, inherent physical differences in permeation versus invasion, and difficulties in data interpretation. These estimates of permeability are most valuable when specimens are limited to small sizes, such as cuttings. © 2019 The American Association of Petroleum Geologists. All rights reserved. |
| 关键词 | CarbonatesMatrix algebraMercury (metal)Pore sizeProven reservesSedimentary rocksSize distributionUncertainty analysisData interpretationDegree of uncertaintyInterconnected poresKozeny-Carman modelMatrix permeabilityMercury porosimetryPermeability estimationPrediction uncertaintyDistributed database systemscarbonate rockdata interpretationdepositional environmentdiagenesisestimation methodexperimental studyhydrocarbon reservoirpermeabilitypore spaceporositysize distributiontopologyuncertainty analysis |
| 语种 | 英语 |
| 来源机构 | AAPG Bulletin |
| 文献类型 | 期刊论文 |
| 条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/131687 |
| 推荐引用方式 GB/T 7714 | Cardona A.,Santamarina J.C.. Carbonate rocks: Matrix permeability estimation[J]. AAPG Bulletin,2020,104(1). |
| APA | Cardona A.,&Santamarina J.C..(2020).Carbonate rocks: Matrix permeability estimation.,104(1). |
| MLA | Cardona A.,et al."Carbonate rocks: Matrix permeability estimation".104.1(2020). |
| 条目包含的文件 | 条目无相关文件。 | |||||
| 个性服务 |
| 推荐该条目 |
| 保存到收藏夹 |
| 导出为Endnote文件 |
| 谷歌学术 |
| 谷歌学术中相似的文章 |
| [Cardona A.]的文章 |
| [Santamarina J.C.]的文章 |
| 百度学术 |
| 百度学术中相似的文章 |
| [Cardona A.]的文章 |
| [Santamarina J.C.]的文章 |
| 必应学术 |
| 必应学术中相似的文章 |
| [Cardona A.]的文章 |
| [Santamarina J.C.]的文章 |
| 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。
