Dynamic pore network modelling of real gas transport in shale nanopore structure

被引:45
作者
Song, Wenhui [1 ]
Yao, Jun [1 ]
Wang, Dongying [1 ]
Li, Yang [2 ]
Sun, Hai [1 ]
Yang, Yongfei [1 ]
机构
[1] China Univ Petr, Sch Petr Engn, 66 Changjiang West Rd, Qingdao 266580, Shandong, Peoples R China
[2] Sinopec, Dept Oilfield Explorat & Dev, Beijing 100029, Peoples R China
基金
中国国家自然科学基金;
关键词
Shale gas; Transport mechanisms; Dynamic pore network model; Gas permeability; SURFACE-DIFFUSION; POROUS-MEDIA; SLIP-FLOW; APPARENT PERMEABILITY; ADSORPTION; MICRO; RESERVOIRS; MULTISCALE; METHANE; PREDICTION;
D O I
10.1016/j.petrol.2019.106506
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
Gas transport in shale nanopores is controlled by the complex transport mechanisms and pore structure characteristics. So far much work has been done on the single pore and regular structure based pore network but lithe is known on real gas transport behavior on a realistic shale pore structure model. In this work, a dynamic pore network model is proposed to describe single component methane transport in nano-scale porous media. Gas transport behavior takes transport mechanisms of slip flow, transition flow, surface diffusion and ad/desorption into account. Real gas effect under high pressure and temperature is considered when calculating gas properties. A three dimensional pore network model is built from a three dimensional image that is reconstructed using multi-point statistics from a small organic-rich area on a two dimensional shale SEM image. This pore network model is used to analyze dynamic gas transport and pressure drop transmission process. Our simulated results reveal that there exists a time period that gas permeability on the pore network is influenced by the pressure drop transmission process and pore structure that flows on. When pressure drop reaches outlet, gas transport turns steady state. At steady state period gas permeability becomes constant and is influenced by the effective stress, pressure, temperature and shale rock property.
引用
收藏
页数:11
相关论文
共 81 条
[51]  
Singh H, 2013, UNC RES TECHN C URTE
[52]   Langmuir slip-Langmuir sorption permeability model of shale [J].
Singh, Harpreet ;
Javadpour, Farzam .
FUEL, 2016, 164 :28-37
[53]  
Soeder D.J., 1988, Society of Petroleum Engineers Formation Evaluation, V3, P116, DOI DOI 10.2118/15213-PA
[54]   Multiscale image-based fractal characteristic of shale pore structure with implication to accurate prediction of gas permeability [J].
Song, Wenhui ;
Wang, Dongying ;
Yao, Jun ;
Li, Yang ;
Sun, Hai ;
Yang, Yongfei ;
Zhang, Lei .
FUEL, 2019, 241 :522-532
[55]   Methane surface diffusion capacity in carbon-based capillary with application to organic-rich shale gas reservoir [J].
Song, Wenhui ;
Yao, Bowen ;
Yao, Jun ;
Li, Yang ;
Sun, Hai ;
Yang, Yongfei ;
Zhang, Lei .
CHEMICAL ENGINEERING JOURNAL, 2018, 352 :644-654
[56]   Grand canonical Monte Carlo simulations of pore structure influence on methane adsorption in micro-porous carbons with applications to coal and shale systems [J].
Song, Wenhui ;
Yao, Jun ;
Ma, Jingsheng ;
Li, Aifen ;
Li, Yang ;
Sun, Hai ;
Zhang, Lei .
FUEL, 2018, 215 :196-203
[57]   Fractal models for gas slippage factor in porous media considering second-order slip and surface adsorption [J].
Song, Wenhui ;
Yao, Jun ;
Li, Yang ;
Sun, Hai ;
Yang, Yongfei .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2018, 118 :948-960
[58]   Assessing relative contributions of transport mechanisms and real gas properties to gas flow in nanoscale organic pores in shales by pore network modelling [J].
Song, Wenhui ;
Yao, Jun ;
Ma, Jingsheng ;
Couples, Gary ;
Li, Yang .
INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2017, 113 :524-537
[59]   Apparent gas permeability in an organic-rich shale reservoir [J].
Song, Wenhui ;
Yao, Jun ;
Li, Yang ;
Sun, Hai ;
Zhang, Lei ;
Yang, Yongfei ;
Zhao, Jianlin ;
Sui, Hongguang .
FUEL, 2016, 181 :973-984
[60]   A slip-flow model for oil transport in organic nanopores [J].
Sun, Fengrui ;
Yao, Yuedong ;
Li, Guozhen ;
Zhang, Shikun ;
Xu, Zhengming ;
Shi, Yu ;
Li, Xiangfang .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2019, 172 :139-148