基于EDFM的页岩油水平井注水吞吐优化研究

doi:10.13809/j.cnki.cn32-1825/te.2024.05.008

Abstract

Abstract:

Continental shale oil horizontal wells have fast decreasing natural production and low recovery, for which single well water injection huff-n-puff can effectively replenish formation energy and improve recovery. Taking Ordos Chang7 shale oil as an example, numerical simulation method is used to carry out the optimisation study of water injection huff-n-puff in horizontal wells of continental shale oil. To enhance the accuracy of the numerical simulation model for shale reservoirs after volume fracturing, the Embedded Discrete Fracture Model（EDFM） is introduced. This model characterizes both natural and hydraulic fractures resulting from volume fracturing. Additionally, a conceptual model that considers imbibition and reservoir stress sensitivity is established. The timing, volume, and speed of injection, as well as the soaking period and huff-n-puff cycle, are optimized based on simulation results. These results indicate that a too-rapid injection rate causes water to flow along the fractures, decreasing the utilization rate of the injected water. As the huff-n-puff cycle increases, the oil increment per cycle tends to decrease. For the specific case of a shale reservoir in Ordos, the optimization of huff-n-puff parameters is as follows: Water injection should commence when the pressure coefficient drops to 0.706, with an optimal injection volume of 4 000 m³ at a rate of 300 m³/d. The recommended soak period is 15 days, with a total of six huff-n-puff rounds. This approach can increase the recovery rate by 4.95% and achieve a total oil-water replacement rate of 6.65%. This study provides valuable insights for water injection huff-n-puff strategies in shale reservoirs.

Key words: shale oil, huff-n-puff, numerical simulation, embedded discrete fracture model（EDFM）, parameter optimization

CLC Number:

TE357

CAO Xiaopeng,LIU Haicheng,LI Zhongxin, et al. Optimization of huff-n-puff in shale oil horizontal wells based on EDFM[J]. Petroleum Reservoir Evaluation and Development, 2024, 14(5): 734-740.

Figures/Tables 12

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References 30

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裂缝类型	裂缝数量/ 条	裂缝半长/ m	裂缝渗透率/ 10^-3μm²	裂缝开度/ m	缝高/ m
水力裂缝	9	150	110	0.002	45
天然裂缝	5 200	10~15	10~100	0.005~0.001	10~30

优化参数	优化数值	初期产量/ （m³/d）	增油量/ m³	油水置换率/%	提高采出程度/‰
注水时机	衰竭生产后第11个月	48.47	485.40	8.09	1.50
	衰竭生产后第13个月	48.04	499.28	8.32	1.55
	衰竭生产后第15个月	48.40	471.03	7.85	1.46
注水量/m³	3 000	26.47	148.20	4.94	0.46
	4 000	33.18	346.59	8.66	1.07
	5 000	40.74	386.31	7.73	1.20
	6 000	48.04	499.28	8.32	1.55
注水速度/ （m³/d）	200	33.18	346.59	8.66	1.07
	300	33.32	369.29	9.23	1.14
	400	34.83	347.89	8.70	1.08
	500	35.66	300.49	7.51	0.93

地区	类型	孔隙度/%	渗透率/10^-3μm²	焖井时间/d	单次吞吐增油量/m³	数据来源
鄂尔多斯盆地	长7段页岩油	8.9	0.17	40~60	273	根据参考文献[13]修改
鄂尔多斯盆地	长7段致密油	8.9	0.17	7~50	310	根据参考文献[29]修改
江汉盆地	盐间页岩油	15.8	1.15		319	根据参考文献[30]修改
鄂尔多斯盆地	长7段页岩油	9.1	0.10	15	266	数值模拟结果

Optimization of huff-n-puff in shale oil horizontal wells based on EDFM

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