驱替压力梯度对水驱油田采收率影响研究

doi:10.19596/j.cnki.1001-246x.8726

摘要/Abstract

摘要：

针对特高含水期砂岩油藏, 利用Volume of Fluid (VOF)可以追踪相界面动态变化、再现微观渗流物理过程的优势, 研究了驱替压力梯度对剩余油微观赋存状态和水驱采收率的影响。通过分析微观孔隙结构内的渗流特征和剩余油赋存状态, 揭示了驱替压力梯度对水驱采收率的影响规律: 驱替压力梯度增大能突破小喉道毛管力, 形成新的渗流通道, 进而增大水驱采出程度; 原油黏度和润湿性会对不同压力梯度下采出程度产生影响。

关键词: 高含水, 水驱采收率, 剩余油, Volume of Fluid, 驱替压力梯度

Abstract:

For sandstone reservoirs with extremely high water content, the Volume of Fluid (VOF) method is able to trace the dynamic changes of multiphase interface and reproduce the physical process of microscopic seepage. The influence of different displacement pressure gradients on the microscopic occurrence characteristics of remaining oil and water flooding recovery is studied. The influence of displacement pressure gradient on water flooding recovery is revealed by analyzing the seepage characteristics and remaining oil occurrence state in microscopic pore structure. The increase of displacement pressure gradient can break through capillary force of small throat, form a new seepage channel, and increase the water flooding recovery. The viscosity and wettability of crude oil affect the recovery degree under different pressure gradients.

Key words: super high water, waterflood recovery, remaining oil, volume of fluid method, displacement pressure gradient

中图分类号:

TE312

崔文富. 驱替压力梯度对水驱油田采收率影响研究[J]. 计算物理, 2024, 41(3): 325-333.

Wenfu CUI. Study on Influence of Displacement Pressure Gradient on Water Flooding Oil Recovery[J]. Chinese Journal of Computational Physics, 2024, 41(3): 325-333.

图/表 15

图1 模型构建(a) 饱和水；(b) 油驱水

Fig.1 Model construction (a) saturated water; (b) oil flooding water

图2 验证模型

Fig.2 Verification model

图3 (a) 横截面上速度分布; (b)中心线上压力分布

Fig.3 (a) Velocity distribution on cross section; (b) Pressure distribution on center line

图4 不同驱替压力梯度下的剩余油赋存形态(a) 0.01 MPa·m-1; (b) 0.03 MPa·m-1; (c) 0.07 MPa·m-1

Fig.4 Residual oil occurrence forms under pressure gradients of (a) 0.01 MPa·m-1; (b) 0.03 MPa·m-1 and (c) 0.07 MPa·m-1

图5 不同驱替压力梯度下的采出程度

Fig.5 Recovery degree under different displacement pressure gradient

图6 P1与P2之间压差变化曲线

Fig.6 Pressure difference curve between P1 and P2

图7 不同驱替压力梯度下的速度场分布(a) 0.03 MPa·m-1; (b) 0.07 MPa·m-1

Fig.7 Flow field distribution with pressure gradients of (a) 0.03 MPa·m-1 and (b) 0.07 MPa·m-1

图8 不同原油黏度下的采收率

Fig.8 Oil recovery with different viscosity

图9 不同原油黏度下的剩余油分布(a) 12 mPa·s; (b) 32 mPa·s

Fig.9 Residual oil distribution with different crude viscosity (a)12 mPa·s; (b) 32 mPa·s

图10 不同原油黏度下的单位采出率耗水量变化

Fig.10 Variation of water consumption per unit recovery rate at different crude oil viscosity

图11 不同润湿角的采收率随驱替压力梯度的变化

Fig.11 Variation of recovery with displacement pressure gradient at different wetting angles

图12 不同润湿性下的剩余油分布

Fig.12 Residual oil distribution at different wetting angles

表1 变驱替压力梯度方案设计

Table 1 The scheme design of variable displacement pressure gradient

模式	取值/(MPa·m^-1)
低驱替压力	0.03
高驱替压力	0.07
高-低-高模式	0.03-0.07-0.03
低-高-低模式	0.07-0.03-0.07
低-高模式	0.03-0.07
高-低模式	0.07-0.03

图13 变驱替压力梯度下的采出程度

Fig.13 The recovery degree changes with variable displacement pressure gradient

图14 变驱替压力梯度下流场分布(a) 低; (b) 高-低-高; (c) 低-高-低; (b) 高

Fig.14 Flow field distribution with displacement pressure gradient of (a) low, (b) high-low-high, (c) low-high-low, and (d) high

参考文献 25

1	余义常, 徐怀民, 高兴军, 等. 海相碎屑岩储层不同尺度微观剩余油分布及赋存状态——以哈得逊油田东河砂岩为例[J]. 石油学报, 2018, 39 (12): 1397- 1409. DOI
2	吕晓光, 李伟. 水驱油藏特高含水阶段提高采收率可行性研究及技术对策[J]. 油气地质与采收率, 2022, 29 (6): 130- 137.
3	ZHOU Runnan , ZHANG Dong , WEI Jianguang . Experimental investigation on remaining oil distribution and recovery performances after different flooding methods[J]. Fuel, 2022, 322, 124219. DOI
4	冯其红, 赵蕴昌, 王森, 等. 基于相场方法的孔隙尺度油水两相流体流动模拟[J]. 计算物理, 2020, 37 (4): 439- 447.
5	胡淑琼, 丁圣. 微观剩余油分布模式及控制因素分析[J]. 石化技术, 2016, 23 (3): 4, 6.
6	冯其红, 白军伟. 驱替压力梯度对相渗曲线影响的网络模拟[J]. 大庆石油地质与开发, 2011, 30 (2): 84- 88.
7	方越, 李洪生, 于春生, 等. 高注入倍数油水两相渗流特征研究[J]. 石油地质与工程, 2019, 33 (1): 56- 59.
8	杨志兴, 许馨月, 陈自立, 等. 不同压力梯度下气水相渗曲线的实验和产能研究[J]. 科技与创新, 2019, (23): 39- 40.
9	蔡建超, 夏宇轩, 徐赛, 等. 含水合物沉积物多相渗流特性研究进展[J]. 力学学报, 2020, 52 (1): 208- 223.
10	LAUTENSCHLAEGER M P , WEINMILLER J , KELLERS B , et al. Homogenized lattice Boltzmann model for simulating multi-phase flows in heterogeneous porous media[J]. Advances in Water Resources, 2022, 170, 104320. DOI
11	HATIBOGLU C U , BABADAGLI T . Pore-scale studies of spontaneous imbibition into oil-saturated porous media[J]. Physical Review E, 2008, 77 (6): 066311. DOI
12	HUANG Ziyang , LIN Guang , ARDEKANI A M . Consistent, essentially conservative and balanced-force phase-field method to model incompressible two-phase flows[J]. Journal of Computational Physics, 2020, 406, 109192. DOI
13	王鑫, 杨斌鑫. 耦合格子Boltzmann的聚合物结晶相场方法[J]. 化工学报, 2018, 69 (z2): 193- 199.
14	GAROOSI F , HOOMAN K . Numerical simulation of multiphase flows using an enhanced volume-of-fluid (VOF) method[J]. International Journal of Mechanical Sciences, 2022, 215, 106956.
15	HOANG D A , VAN STEIJN V , PORTELA L M , et al. Benchmark numerical simulations of segmented two-phase flows in microchannels using the volume of fluid method[J]. Computers & Fluids, 2013, 86, 28- 36.
16	SHAMS M , RAEINI A Q , BLUNT M J , et al. A numerical model of two-phase flow at the micro-scale using the volume-of-fluid method[J]. Journal of Computational Physics, 2018, 357, 159- 182.
17	魏祥祥, 冯其红, 张先敏, 等. 基于VOF方法的水驱油藏孔隙尺度剩余油分布状态研究[J]. 计算物理, 2021, 38 (5): 573- 584.
18	YANG Yongfei , CAI Shaobin , YAO Jun , et al. Pore-scale simulation of remaining oil distribution in 3D porous media affected by wettability and capillarity based on volume of fluid method[J]. International Journal of Multiphase Flow, 2021, 143, 103746.
19	MAES J , SOULAINE C . A new compressive scheme to simulate species transfer across fluid interfaces using the volume-of-fluid method[J]. Chemical Engineering Science, 2018, 190, 405- 418.
20	YANG Zenan , NIU Haipeng , HUANG Liang , et al. High-spatial-resolution remote sensing image segmentation using adaptive watershed-driven joint MDEDNet[J]. Geocarto International, 2022, 37 (25): 10713- 10742.
21	JASAK H, JEMCOV A, TUKOVIĆ Ž. OpenFOAM: A C++ library for complex physics simulations[C]//International Workshop on Coupled Methods in Numerical Dynamics. Dubrovnik, Croatia: IUC, 2007: 1-20.
22	GOLPARVAR A , ZHOU Yingfang , WU Kejian , et al. A comprehensive review of pore scale modeling methodologies for multiphase flow in porous media[J]. Advances in Geo-Energy Research, 2018, 2 (4): 418- 440.
23	DAVANLOU A . Adaptive time-step selection in volume of fluid (VOF) simulations[J]. Bulletin of the American Physical Society, 2020, 65 (1): P20.00006.
24	XIAO Junfeng , CAI Jianchao , XU Jianfeng . Saturated imbibition under the influence of gravity and geometry[J]. Journal of Colloid and Interface Science, 2018, 521, 226- 231.
25	XIAO Junfeng , LUO Youming , NIU Muyuan , et al. Study of imbibition in various geometries using phase field method[J]. Capillarity, 2019, 2 (4): 57- 65.

[1]	魏祥祥, 冯其红, 张先敏, 黄迎松, 刘丽杰. 基于VOF方法的水驱油藏孔隙尺度剩余油分布状态研究[J]. 计算物理, 2021, 38(5): 573-584.
[2]	冯其红, 赵蕴昌, 王森, 张以根, 孙业恒, 史树彬. 基于相场方法的孔隙尺度油水两相流体流动模拟[J]. 计算物理, 2020, 37(4): 439-447.
[3]	宋昱, 王飞, 郝鹏飞, 何枫. 考虑壁面接触效应的微流动数值模拟[J]. 计算物理, 2008, 25(1): 75-82.
[4]	刘月田, 徐明旺, 彭道贵, 张宏伟, 董彬. 各向异性渗透率油藏数值模拟[J]. 计算物理, 2007, 24(3): 295-300.