A new methodology of constructing pseudo capillary pressure (Pc) curves from nuclear magnetic resonance (NMR) logs

被引:76
|
作者
Xiao, Liang [1 ]
Mao, Zhi-Qiang [2 ]
Zou, Chang-Chun [1 ]
Jin, Yan [3 ]
Zhu, Ji-Chang [1 ]
机构
[1] China Univ Geosci, Sch Geophys & Informat Technol, Beijing, Peoples R China
[2] China Univ Petr, State Key Lab Petr Resource & Prospecting, Beijing, Peoples R China
[3] Southwest Oil & Gas Field Branch Co, PetroChina, Chengdu, Sichuan, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Nuclear Magnetic Resonance (NMR) Logs; Mercury Injection Capillary Pressure (MICP); Curve; Pore Throat Size Distribution; Formation Classification; Pore Structure; NOISE-REDUCTION;
D O I
10.1016/j.petrol.2016.05.015
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In this paper, based on the analysis of lab experimental results of 20 core samples, which were drilled from tight sandstone reservoirs of Sichuan basin, and simultaneously applied for mercury injection capillary pressure (MICP) and nuclear magnetic resonance (NMR) measurements, the relationships of piecewise power function between NMR transverse relaxation T-2 time and pore-throat radius R-c are established. A novel classified piecewise power function (CPPF) method, which is used to transform NMR reverse cumulative curve as pseudo capillary pressure (P-c) curve is proposed, and the corresponding model is established based on formation classification. By using this model, formation pseudo P-c curves can be consecutively synthesized in the intervals with which field NMR logs were acquired. The pore throat radius distribution, and pore structure evaluation parameters, such as average pore throat radius (Rm), threshold pressure (Pd), maximum pore throat radius (Rmax) and so on, can also be precisely extracted. Several tight sandstone reservoirs are processed by using this method, and the predicted results are compared with core derived results. Good consistency between the evaluated results with core derived results illustrates the dependability of the proposed method. (C) 2016 Elsevier B.V. All rights reserved.
引用
收藏
页码:154 / 167
页数:14
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