Evaluation of irreducible water saturation by electrical imaging logging based on capillary pressure approximation theory

doi:10.1016/j.geoen.2023.211592

CORC > 深海科学与工程研究所 > 中国科学院深海科学与工程研究所 > 深海科学研究部 > 深海地球物理与资源研究室

	Evaluation of irreducible water saturation by electrical imaging logging based on capillary pressure approximation theory
	Li, Yao 3,4; Zhang, Zhansong 3,4; Hu, Song 1; Zhou, Xueqing 2; Guo, Jianhong 3,4; Zhu, Linqi 2
刊名	GEOENERGY SCIENCE AND ENGINEERING
	2023-05-01
卷号	224 页码:12
关键词	Irreducible water saturation Pore structure Electrical imaging logging Mercury injection capillary pressure curve
ISSN号	2949-8929
DOI	10.1016/j.geoen.2023.211592
通讯作者	Zhang, Zhansong(Zhangzhs@yangtzeu.edu.cn)
英文摘要	One of the most important metrics for evaluating oil and gas reservoirs is irreducible water saturation (Swir). The completion of oil and gas reservoir development tasks, such as fluid identification, productivity prediction, and water-flooded reservoir discrimination, requires the accurate evaluation of Swir. Nuclear magnetic resonance (NMR) logging can reflect the intricate pore structure of reservoirs, so it offers a natural advantage in the evaluation of Swir, but its high measurement cost leads to infrequent use. In geophysical logging, electrical imaging logging can obtain pore size distribution information at a lower cost. Hence, a method based on electrical imaging logging data is proposed to predict Swir. This method not only has a high degree of accuracy but is also cost-effective. First, the pore characteristics of the bound fluid were analyzed with the mercury injection capillary pressure curve. Based on the capillary pressure approximation theory, the reverse cumulative curve of the porosity spectrum was derived. And the physical meaning of its "inflection point" was clarified. Then, the resistivity of the formation containing just irreducible water was computed using the conversion between the core displacement pressure and resistivity. Finally, based on Archie's formula, the Swir at each depth of the reservoir was predicted. By using ultradeep carbonate reservoir logging data from the Yuanba gas field, the model was validated. The results demonstrated that the calculated values using this method agreed with the measured values from the cores. Compared with the core fitting method, the average absolute error is reduced by 2.61%, and the average relative error decreases by 12.0%. If NMR logging information is not present, this method serves as an effective supplement to accurately predict Swir.
资助项目	National Natural Science Foundation of China Enterprise Innovation and Development Joint Fund[U19B6003-04-03-03] ; National Natural Science Foundation of China[42106213] ; Open Fund of Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education[K2021-03] ; Open Fund of Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education[K2021-08]
WOS关键词	PORE STRUCTURE CHARACTERIZATION ; MAGNETIC-RESONANCE NMR ; TIGHT GAS ; SIZE DISTRIBUTION ; SICHUAN BASIN ; PERMEABILITY ; ROCK ; LOGS ; MODEL ; SCALE
WOS研究方向	Energy & Fuels ; Engineering
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:001029094100001
资助机构	National Natural Science Foundation of China Enterprise Innovation and Development Joint Fund ; National Natural Science Foundation of China ; Open Fund of Key Laboratory of Exploration Technologies for Oil and Gas Resources, Ministry of Education
内容类型	期刊论文
源URL	[http://ir.idsse.ac.cn/handle/183446/10405]
专题	深海科学研究部_深海地球物理与资源研究室
通讯作者	Zhang, Zhansong
作者单位	1.SINOPEC, Petr Explorat & Prod Res Inst, Beijing 100083, Peoples R China 2.Chinese Acad Sci, Inst Deep sea Sci & Engn, Sanya 572000, Peoples R China 3.Yangtze Univ, Coll Geophys & Petr Resources, Wuhan 430000, Peoples R China 4.Yangtze Univ, Key Lab Explorat Technol Oil & Gas Resources, Minist Educ, Wuhan 430000, Peoples R China
推荐引用方式 GB/T 7714	Li, Yao,Zhang, Zhansong,Hu, Song,et al. Evaluation of irreducible water saturation by electrical imaging logging based on capillary pressure approximation theory[J]. GEOENERGY SCIENCE AND ENGINEERING,2023,224:12.
APA	Li, Yao,Zhang, Zhansong,Hu, Song,Zhou, Xueqing,Guo, Jianhong,&Zhu, Linqi.(2023).Evaluation of irreducible water saturation by electrical imaging logging based on capillary pressure approximation theory.GEOENERGY SCIENCE AND ENGINEERING,224,12.
MLA	Li, Yao,et al."Evaluation of irreducible water saturation by electrical imaging logging based on capillary pressure approximation theory".GEOENERGY SCIENCE AND ENGINEERING 224(2023):12.