泡沫液在均质多孔介质内动态驱替过程的二维数值模拟研究

doi:10.11949/j.issn.0438-1157.20180770

化工学报 ›› 2018, Vol. 69 ›› Issue (S1): 48-52.DOI: 10.11949/j.issn.0438-1157.20180770

泡沫液在均质多孔介质内动态驱替过程的二维数值模拟研究

杜东兴^1,2, 张丹^1,2, 李莺歌³, 巢昆^1,2, 马连湘¹

1 青岛科技大学机电工程学院, 山东青岛 266061;
2 青岛科技大学地质能源研究院, 山东青岛 266109;
3 青岛科技大学自动化与电子工程学院, 山东青岛 266061

收稿日期:2018-07-09 修回日期:2018-07-11 出版日期:2018-09-30 发布日期:2018-09-30
通讯作者: 杜东兴(1971-),男,教授,E-mail:du-dongxing@163.com
基金资助:
国家自然科学基金项目（51476081）。

Two dimensional numerical simulation of transient foam displacement process in homogeneous porous media

DU Dongxing^1,2, ZHANG Dan^1,2, LI Yingge³, CHAO Kun^1,2, MA Lianxiang¹

1 College of Electromechanical Engineering, Qingdao University of Science and Technology, Qingdao 266061, Shandong, China;
2 Geo-Energy Research Institute, Qingdao University of Science and Technology, Qingdao 266109, Shandong, China;
3 College of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266061, Shandong, China

Received:2018-07-09 Revised:2018-07-11 Online:2018-09-30 Published:2018-09-30
Supported by:
supported by the National Natural Science Foundation of China (51476081).

摘要/Abstract

摘要：

利用随机泡沫数目守恒模型，针对具有收缩进口及收缩出口的均质多孔介质二维模型，对泡沫流体驱替突破前的动态过程开展了数值模拟研究。采用IMPES方法对二维两相泡沫动态驱替过程的控制方程组进行求解，通过液相压力、液相饱和度、气泡数目等参数在多孔介质内的分布结果对泡沫动态驱替特性进行了分析研究。数值模拟结果表明，泡沫驱替过程显示出明显的入口效应，其压力分布、液相饱和度及泡沫数目分布随气体与活化剂溶液在缩小入口的注入呈现明显的发展过程。在泡沫液未完成驱替突破的情况下，缩小出口未显示出对泡沫液驱替特性的影响。数值计算结果与相应实验结果趋势一致，表明所采用的随机泡沫数目守恒模型能够正确表征多孔介质中泡沫的生成及湮灭机理，进而对泡沫液在均质多孔介质内的动态驱替特性进行准确模拟和预测。

关键词: 泡沫, 多孔介质, 两相流, 模拟, 二维

Abstract:

Two-dimensional numerical simulations have been carried out in this paper concerning the dynamic foam displacement process in a homogeneous porous media with confined inlet and exit geometry arrangements. Stochastic bubble population balance model is employed to describe the foam generation process and the IMPES algorithm is used to solve the equation sets of transient two-phase flow process. Detailed analysis has been carried out based on numerically obtained two dimensional parameter distributions of water saturation, water pressure and bubble density. Obvious development progress has been observed near the core inlet in the dynamic foam flooding process, whereas the effect of shrinking outlet could be neglected before the foam fluid making breakthrough from the sample. Good agreements between numerical and corresponding experimental results indicate the stochastic bubble population model could describe adequately the foam generation and coalescence mechanism and therefore could be applied to simulate and predict accurately the foam dynamic propagation process in homogeneous porous media.

Key words: foam, porous media, two-phase flow, simulation, two dimensional

中图分类号:

0359⁺.1

杜东兴, 张丹, 李莺歌, 巢昆, 马连湘. 泡沫液在均质多孔介质内动态驱替过程的二维数值模拟研究[J]. 化工学报, 2018, 69(S1): 48-52.

DU Dongxing, ZHANG Dan, LI Yingge, CHAO Kun, MA Lianxiang. Two dimensional numerical simulation of transient foam displacement process in homogeneous porous media[J]. CIESC Journal, 2018, 69(S1): 48-52.

参考文献 30

[1]	GASPAR A T F S, LIMA G A C, SUSLICK S B. CO2 capture and storage in mature oil reservoir:physical description, EOR and economic valuation of a case of a Brazilian mature field[C]//SPE 94181 presented at SPE Europe/EAGE Annual Conference. Spain, 2005.
[2]	GASPAR A T F S, SUSLICK S B, FERREIRA D F, et al. Enhanced oil recovery with CO2 sequestration:a feasibility study of a Brazilian mature oil field[C]//SPE 94939 presented at SPE/EPA/DOE Exploration and Production Environmental Conference. Texas, USA, 2005.
[3]	FRANKLIN M O J. Storage of carbon dioxide in geologic formations[J]. Journal of Petroleum Technology, 2004, 56(9):90.
[4]	MORITIS G. 2002 Worldwide EOR survey[J]. Oil and Gas Journal, 2002, 100(15):43-47.
[5]	MORITIS G. EOR continues to unlock oil resources[J]. Oil and Gas Journal, 2003, 102(14):45-49.
[6]	GODECA M, KUUSKRAAA V, LEEUWEN T V. CO2 storage in depleted oil fields:the worldwide potential for carbon dioxide enhanced oil recovery[J]. Energy Procedia, 2011, 4(10):2162-2169.
[7]	ETTEHADTAVAKKOL A, LAKE L W, BYRANT S L. CO2-EOR and storage design optimization[J]. Int. J. Greenhouse Gas Control, 2014, 25:79-92
[8]	DU D X, WANG D X, JIA N H, et al. Experiments on CO2 foam seepage characteristics in porous media[J]. Petroleum Exploration and Development, 2016, 43(3):499-505.
[9]	DU D X, SUN S B, ZHANG N, et al. Pressure distribution measurements for CO2 foam flow in porous media[J]. Journal of Porous Media, 2015, 18(11):1119-1125.
[10]	ROSSEN W R, GAUGLITZ P A. Percolation theory of creation and mobilization of foams in porous media[J]. AIChE J., 1990, 36(8):1176-1188.
[11]	ROSSEN W R, SHI J, ZEILINGER S C. Percolation modeling of foam generation in porous media[J]. AIChE J., 1994, 40(6):1082-1084.
[12]	SHI J X. ROSSEN W R. Simulation of gravity override in foam processes in porous media[J]. SPE Reserv. Eval. & Eng., 1998, 1:148-154.
[13]	ROSSEN W R, ZEILINGER S C, SHI J X, et al. Simplified mechanistic simulation of foam processes in porous media[J]. SPE J., 1999, 4:279-287.
[14]	CHENG L, KAM S I, DELSHAD M, et al. Simulation of dynamic foam-acid diversion processes[J]. SPE J., 2003, 7:316-324.
[15]	PATZEK T W. Modeling of Foam Flow in Porous Media by the Population Balance Method[M]//Surfactant-Based Mobility Control-ACS Symposium Series 373. 1988:326-341.
[16]	KOVSCEK A R, PATZEK T W, RADKE C J. Mechanistic prediction of foam displacement in multidimensions:a population balance approach[C]//SPE 27789 in SPE/DOE Ninth Symposium on Improved Oil Recovery. Tulsa, USA, 1994.
[17]	KOVSCEK A R, PATZEK T W, RADKE C J. A mechanistic population balance model for transient and steady state foam flow in boise sandstone[J]. Chem. Eng. Sci., 1995, 50(23):3783-3799.
[18]	KOVSCEK A R, PATZEK T W, RADKE C J. Mechanistic foam flow simulation in heterogeneous and multidimensional porous media[J]. SPE J., 1997, 2(4):511-526.
[19]	ZITHA P L J, DU D X. A new stochastic bubble population model for foam flow in porous media[J]. Transport in Porous Media, 2010, 83(3):603-621.
[20]	THORAT R, BRUINING H. Foam flow experiments(1):Estimation of the bubble generation-coalescence function[J]. Transport in Porous Media, 2016, 112(1):53-76
[21]	DU D X, ZITHA P L J, VERMOLEN F J. Numerical analysis of foam motion in porous media using a new stochastic bubble population model[J]. Transport in Porous Media, 2011, 86:461-474.
[22]	MA K,REN G W, MATEEN K, et al. Modeling techniques for foam flow in porous media[J]. SPE J., 2015, 20(3):453-470.
[23]	DU D X, ZHANG N, LI Y G, et al. Parametric studies on foam displacement behavior in a layered heterogeneous porous media based on the stochastic population balance model[J]. Journal of Natural Gas Science & Engineering, 2017, 48:1-12.
[24]	HIRASAKI G J, LAWSON J B. Mechanisms of foam flow in porous media:apparent viscosity in smooth capillaries[J]. SPE J., 1985, 25(2):176-190
[25]	杜东兴, 马新军, 张发虎, 等. 泡沫薄膜液在直管内的流变学特性[J]. 化工学报, 2014, 65(S1):194-198. DU D X, MA X J, ZHANG F H, et al. Rheology characteristics for foam lamellae flow in a straight tube[J]. CIESC Journal, 2014, 65(S1):194-198.
[26]	DU D X, ZHANG J. SUN S B, et al. Mechanistic study on foam lamellae flow characteristics in tubes[J]. Material Research Innovations, 2015, 19(S5):526-529.
[27]	杜东兴, 张娜, 孙芮, 等. 泡沫薄膜液在变径管内的流变学特性[J]. 化工学报, 2016, 67(S1):181-185. DU D X, ZHANG N, SUN R, et al. Foam lamellae flow rheology in converging-diverging tubes[J]. CIESC Journal, 2016, 67(S1):181-185.
[28]	DU D X, NADERIBENI A, FARAJZADEH R, et al. Effect of water solubility on carbon dioxide foam flow in porous media:an X-ray computed tomography study[J]. Ind. Eng. Chem. Res., 2008, 47:6298-6306.
[29]	AZIZ K, SETTARI A. Petroleum Reservoir Simulation[M]. London and New York:Applied Science Publishers, 1979:18-24, 35-150.
[30]	杜东兴, 王德玺, 王程程, 等. CO2泡沫在储层孔隙介质内宏观驱替特性的实验研究[C]//工程热物理年会传热传质分会. 北京,2016. DU D X, WANG D X, WANG C C, et al. Experimental investigations on macroscopic displacement characteristics of CO2 foam in reservoir porous media[C]//Heat and Mass Transfer Division of Annual Meeting of Engineering Thermophysics. Beijing, 2016.

泡沫液在均质多孔介质内动态驱替过程的二维数值模拟研究

Two dimensional numerical simulation of transient foam displacement process in homogeneous porous media

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 30

相关文章 15

编辑推荐

Metrics

本文评价

[1]	宋嘉豪, 王文. 斯特林发动机与高温热管耦合运行特性研究[J]. 化工学报, 2023, 74(S1): 287-294.
[2]	张思雨, 殷勇高, 贾鹏琦, 叶威. 双U型地埋管群跨季节蓄热特性研究[J]. 化工学报, 2023, 74(S1): 295-301.
[3]	肖明堃, 杨光, 黄永华, 吴静怡. 浸没孔液氧气泡动力学数值研究[J]. 化工学报, 2023, 74(S1): 87-95.
[4]	周绍华, 詹飞龙, 丁国良, 张浩, 邵艳坡, 刘艳涛, 郜哲明. 短管节流阀内流动噪声的实验研究及降噪措施[J]. 化工学报, 2023, 74(S1): 113-121.
[5]	叶展羽, 山訸, 徐震原. 用于太阳能蒸发的折纸式蒸发器性能仿真[J]. 化工学报, 2023, 74(S1): 132-140.
[6]	张龙, 宋孟杰, 邵苛苛, 张旋, 沈俊, 高润淼, 甄泽康, 江正勇. 管翅式换热器迎风侧翅片末端霜层生长模拟研究[J]. 化工学报, 2023, 74(S1): 179-182.
[7]	张义飞, 刘舫辰, 张双星, 杜文静. 超临界二氧化碳用印刷电路板式换热器性能分析[J]. 化工学报, 2023, 74(S1): 183-190.
[8]	王志国, 薛孟, 董芋双, 张田震, 秦晓凯, 韩强. 基于裂隙粗糙性表征方法的地热岩体热流耦合数值模拟与分析[J]. 化工学报, 2023, 74(S1): 223-234.
[9]	江河, 袁俊飞, 王林, 邢谷雨. 均流腔结构对微细通道内相变流动特性影响的实验研究[J]. 化工学报, 2023, 74(S1): 235-244.
[10]	何松, 刘乔迈, 谢广烁, 王斯民, 肖娟. 高浓度水煤浆管道气膜减阻两相流模拟及代理辅助优化[J]. 化工学报, 2023, 74(9): 3766-3774.
[11]	温凯杰, 郭力, 夏诏杰, 陈建华. 一种耦合CFD与深度学习的气固快速模拟方法[J]. 化工学报, 2023, 74(9): 3775-3785.
[12]	王玉兵, 李杰, 詹宏波, 朱光亚, 张大林. R134a在菱形离散肋微小通道内的流动沸腾换热实验研究[J]. 化工学报, 2023, 74(9): 3797-3806.
[13]	刘远超, 关斌, 钟建斌, 徐一帆, 蒋旭浩, 李耑. 单层XSe₂（X=Zr/Hf）的热电输运特性研究[J]. 化工学报, 2023, 74(9): 3968-3978.
[14]	陈哲文, 魏俊杰, 张玉明. 超临界水煤气化耦合SOFC发电系统集成及其能量转化机制[J]. 化工学报, 2023, 74(9): 3888-3902.
[15]	宋明昊, 赵霏, 刘淑晴, 李国选, 杨声, 雷志刚. 离子液体脱除模拟油中挥发酚的多尺度模拟与研究[J]. 化工学报, 2023, 74(9): 3654-3664.