采用二维可视化模型开展减氧空气重力驱(OAGD)实验,分析重力、毛细管力与黏滞力对油气界面运移特征的影响;开展了长岩心驱替实验,研究邦德数、毛细管数、低温氧化反应对OAGD采收率的影响,在此基础上引入低温氧化数并建立了其与采收率的关系。研究表明,油气前缘形态与变化规律主要受重力、毛细管力与黏滞力的综合影响,邦德数一定(4.52×10-4)时,油气前缘形态受毛细管数大小控制:毛细管数小于1.68×10-3时,油气前缘稳定;毛细管数大于2.69×10-2时,油气前缘呈黏性指进;毛细管数为1.68×10-3~2.69×10-2时,油气前缘呈毛细管指进。OAGD稳定驱气体突破前,重力数越高、毛细管数越低,采收率越高,采收率主要受重力影响,可通过降低注气速度提高采收率;气体突破后,重力数越低、毛细管数越高,采收率越高,采收率主要受黏滞力影响,可通过提高注气速度提高采收率。低温氧化数与采收率具有良好的相关性,可用于预测OAGD采收率。图14表4参18
陈小龙
,
李宜强
,
廖广志
,
张成明
,
徐善志
,
齐桓
,
汤翔
. 减氧空气重力稳定驱驱替机理及与采收率的关系[J]. 石油勘探与开发, 2020
, 47(4)
: 780
-788
.
DOI: 10.11698/PED.2020.04.15
The effects of gravity, capillary force and viscous force on the migration characteristics of oil and gas interface in oxygen-reduced air assisted gravity drainage (OAGD) were studied through a two-dimensional visualization model. The effects of bond number, capillary number and low temperature oxidation on OAGD recovery were studied by long core displacement experiments. On this basis, the low temperature oxidation number was introduced and its relationship with the OAGD recovery was established. The results show that the shape and changing law of oil and gas front are mainly influenced by gravity, capillary force and viscous force. When the bond number is constant (4.52×10-4), the shape of oil-gas front is controlled by capillary number. When the capillary number is less than 1.68×10-3, the oil and gas interface is stable. When the capillary number is greater than 2.69×10-2, the oil and gas interface shows viscous fingering. When the capillary number is between 1.68×10-3 and 2.69×10-2, the oil and gas interface becomes capillary fingering. The core flooding experiments results show that for OAGD stable flooding, before gas breakthrough, higher recovery is obtained in higher gravity number and lower capillary number. In this stage, gravity is predominant in controlling OAGD recovery and the oil recovery could be improved by reducing injection velocity. After gas breakthrough, higher recovery was obtained in lower gravity number and higher capillary number, which means that the viscous force had significant influence on the recovery. Increasing gas injection velocity in this stage is an effective measure to improve oil recovery. The low temperature oxidation number has a good correlation with the recovery and can be used to predict the OAGD recovery.
[1] YUAN C, PU W, JIN F, et al.Characterizing the fuel deposition process of crude oil oxidation in air injection[J]. Energy & Fuels, 2015, 29(11): 7622-7629.
[2] 廖广志, 杨怀军, 蒋有伟, 等. 减氧空气驱适用范围及氧含量界限[J]. 石油勘探与开发, 2018, 45(1): 105-110.
LIAO Guangzhi, YANG Huaijun, JIANG Youwei, et al.Applicable scope of oxygen-reduced air flooding and the limit of oxygen content[J]. Petroleum Exploration and Development, 2018, 45(1): 105-110.
[3] 关文龙, 席长丰, 陈龙, 等. 火烧辅助重力泄油矿场调控技术[J]. 石油勘探与开发, 2017, 44(5): 753-760.
GUAN Wenlong, XI Changfeng, CHEN Long, et al.Field control technologies of combustion assisted gravity drainage (CAGD)[J]. Petroleum Exploration and Development, 2017, 44(5): 753-760.
[4] KULKAMI M M.Multiphase mechanisms and fluid dynamics in gas injection enhanced oil recovery processes[D]. Louisiana: Louisiana State University, 2005.
[5] BAUTISTA E V, MENNESES BARILLAS J L, DUTRA T V Jr, et al. Capillary, viscous and gravity forces in gas-assisted gravity drainage[J]. Journal of Petroleum Science & Engineering, 2014, 122: 754-760.
[6] KULKAMI M, RAO D.Characterization of operative mechanisms in gravity drainage field projects through dimensional analysis[R]. San Antonio: SPE Annual Technical Conference and Exhibition, 2006.
[7] WU K, LI X, WANG X, et al.Predicting the method of oil recovery in the gas-assisted gravity drainage process[J]. Liquid Fuels Technology, 2013, 31(23): 2527-2533.
[8] ROSTAMI B, FARAHI M M, RASAEI M R, et al.Scaling analysis and modeling of immiscible forced gravity drainage process[J]. Journal of Energy Resources Technology, 2014, 136(2): 022901-022908.
[9] 陈小龙, 李宜强, 管错, 等. 基于量纲分析的优化神经网络模型预测GAGD非混相开发油藏采收率[J]. 石油科学通报, 2019, 4(3): 288-299.
CHEN Xiaolong, LI Yiqiang, GUAN Cuo, et al.Optimized neural network prediction model for gas assisted gravity drainage recovery based on dimensional analysis[J]. Petroleum Science Bulletin, 2019, 4(3): 288-299.
[10] KHORSHIDIAN H, JAMES L A, BUTT S D.The pore-level investigation of the influence of wettability and production rate on the recovery of waterflood residual oil with gas assisted gravity drainage (GAGD) process[J]. Energy & Fuels, 2018, 32(6): 6438-6451.
[11] 王敬, 姬泽敏, 刘慧卿, 等. 裂缝-孔洞型储集层注氮气辅助重力泄油实验[J]. 石油勘探与开发, 2019, 46(2): 342-353.
WANG Jing, JI Zemin, LIU Huiqing, et al.Experiments on nitrogen assisted gravity drainage in fractured-vuggy reservoirs[J]. Petroleum Exploration and Development, 2019, 46(2): 342-353.
[12] 蒋有伟, 张义堂, 刘尚奇, 等. 低渗透油藏注空气开发驱油机理[J]. 石油勘探与开发, 2010, 37(4): 92-97.
JIANG Youwei, ZHANG Yitang, LIU Shangqi, et al.Displacement mechanisms of air injection in low permeability reservoirs[J]. Petroleum Exploration and Development, 2010, 37(4): 92-97.
[13] MUDHAFAR W J.From coreflooding and scaled physical model experiments to field-scale enhanced oil recovery evaluations: Comprehensive review of the gas-assisted gravity drainage process[J]. Energy & Fuels, 2018, 32(11): 11067-11079.
[14] ROSTAMI B, POURAFSHARY P, FATHOLLAHI A, et al.A new approach to characterize the performance of heavy oil recovery due to various gas injection[J]. International Journal of Multiphase Flow, 2018, 99: 273-283.
[15] PARSAEI R, CHATZIS I.Experimental investigation of production characteristics of the gravity-assisted inert gas injection (GAIGI) process for recovery of waterflood residual oil: Effects of wettability heterogeneity[J]. Energy & Fuels, 2011, 25(5): 2089-2099.
[16] KULKAMI M M, SHARMA A P, RAO D N.Use of dimensional analysis for scaling immiscible gas assisted gravity drainage (GAGD) experiments[R]. Toronto: International Symposium of the Society of Core Analysts, 2005.
[17] REZAVEISI M, ROSTAMI B, KHARRAT R, et al.Experimental investigation of tertiary oil gravity drainage in fractured porous media[J]. Special Topics & Reviews in Porous Media, 2010, 1(2): 179-191.
[18] MA C.A globally convergent Levenberg Marquardt method for the least norm solution of nonlinear inequalities[J]. Applied Mathematics & Computation, 2008, 206(1): 133-140.