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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.
语种	英语
scopus关键词	Carbonates; Matrix algebra; Mercury (metal); Pore size; Proven reserves; Sedimentary rocks; Size distribution; Uncertainty analysis; Data interpretation; Degree of uncertainty; Interconnected pores; Kozeny-Carman model; Matrix permeability; Mercury porosimetry; Permeability estimation; Prediction uncertainty; Distributed database systems; carbonate rock; data interpretation; depositional environment; diagenesis; estimation method; experimental study; hydrocarbon reservoir; permeability; pore space; porosity; size distribution; topology; uncertainty analysis
来源期刊	AAPG Bulletin
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/143737
作者单位	Energy Resources and Petroleum Engineering, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
推荐引用方式 GB/T 7714	Cardona A.,Santamarina J.C.. Carbonate rocks: Matrix permeability estimation[J],2020,104(1).
APA	Cardona A.,&Santamarina J.C..(2020).Carbonate rocks: Matrix permeability estimation.AAPG Bulletin,104(1).
MLA	Cardona A.,et al."Carbonate rocks: Matrix permeability estimation".AAPG Bulletin 104.1(2020).