基于改进饥饿游戏搜索算法的CO2水气交替驱注入参数优化

doi:10.13809/j.cnki.cn32-1825/te.2025.03.017

Abstract

Abstract:

CO₂ flooding is an important method to enhance oil recovery in low-permeability reservoirs. However, due to the heterogeneity of the reservoir, long-term CO₂ injection can easily lead to CO₂ gas channeling, leaving a large amount of residual oil in the reservoir, which severely impacts the effectiveness of CO₂ flooding. CO₂-water-alternating-gas flooding (CO₂ WAG) is an effective technique to suppress CO₂ gas channeling in low-permeability oilfields. During the implementation of CO₂ WAG, numerous injection parameters such as injection rate, slug size, and gas-water ratio are involved. Unreasonable injection parameters make it difficult to achieve improved oil recovery. Traditional reservoir numerical simulation methods for determining optimal injection parameters are time-consuming, labor-intensive, and costly, and may be unfeasible in large oilfields with complex multi-well injection parameter combinations. The hunger game search algorithm was introduced to optimize the injection parameters for CO₂ WAG, with the addition of chaotic mapping functions to enhance the randomness and diversity of initial injection parameter values. This new approach formed an improved hunger game search algorithm based on chaotic mapping functions, allowing for collaborative intelligent optimization between the algorithm and reservoir simulation software. This method enhanced the accuracy and efficiency of CO₂ WAG injection parameter optimization for typical oilfields. Compared to the Logistic, Gaussian, and Singer chaotic mapping functions, the Tent chaotic mapping function resulted in more evenly distributed chaotic values and frequency distributions, making it a better choice for improving the hunger game search algorithm. The hunger game search algorithm improved by the Tent chaotic mapping function is an effective method for optimizing CO₂ WAG injection parameters. The optimal CO₂ WAG injection parameters derived from this approach lead to a cumulative oil production of 34.974×10⁴ m³, a 0.213×10⁴ m³ increase over the results from the Hunger Game Search algorithm, and 5.820×10⁴ m³ more than the current CO₂ WAG injection parameter scheme. This approach provides an effective technical solution for the efficient implementation of CO₂ WAG in the field.

Key words: low-permeability oilfields, CO₂ water-alternating-gas (CO₂ WAG) flooding, chaotic mapping function, hunger game search algorithm, optimization of injection parameters

CLC Number:

TE348

WU Gongyi,SUN Yuxin,SUN Xiaofei, et al. Optimization of CO₂ water-alternating-gas injection parameters based on an improved hunger game search algorithm[J]. Petroleum Reservoir Evaluation and Development, 2025, 15(3): 500-507.

Figures/Tables 11

Fig. 1

Table 1

Fig. 2

Fig. 3

Fig.4

Table 2

Comparison of test function properties and optimization results"

代称	函数表达式	优化范围	算法确定最优值
F1	$f (x) = ∑ i = 1 30 x i 2$	[-100,100]	5.07×10^-86
F2	$f (x) = ∑ j = 1 30 (∑ i = 1 j x i) 2$	[-100,100]	1.88×10^-66
F3	$f (x) = ∑ i = 1 30 x i + ∏ i = 1 30 x i$	[-100,100]	3.34×10^-40
F4	$f (x) = ∑ i = 1 30 - 1 [100 (x i + 1 - x i 2) 2 + (x i - 1) 2]$	[-100,100]	1.95×10^-3
F5	$f (x) = ∑ i = 1 30 (x i + 0.5) 2$	[-100,100]	1.53×10^-7
F6	$f (x) = ∑ i = 1 30 i x i 4 + r [0,1)$	[-1.28,1.28]	1.90×10^-4

Table 2

Fig. 5

Fig. 6

Fig.7

Fig. 8

Table 3

References 24

1	周国梁. 低渗透油藏储层改造条件下CO₂驱油提高采收率研究[D]. 淮南: 安徽理工大学, 2024.
	ZHOU Guoliang. Study on the safe enhancement oil recovery by CO₂ flooding in reformed low permeability reservoir[D]. Huainan: Anhui University of Science and Technology, 2024.
2	王石头, 马国伟, 郎庆利, 等. 低渗透裂缝性油藏CO₂驱气窜形成机理及防治技术研究[J]. 能源化工, 2022, 43(3): 29-34.
	WANG Shitou, MA Guowei, LANG Qingli, et al. Study on formation mechanism and prevention technology of gas channeling by CO₂ flooding in low permeability fractured reservoirs[J]. Energy Chemical Industry, 2022, 43(3): 29-34.
3	孙成岩. CO₂驱后水气交替注入驱替特征及剩余油启动机制[J]. 大庆石油地质与开发, 2024, 43(1): 52-58.
	SUN Chengyan. Displacement characteristics and remaining oil startup mechanism of WAG after CO₂ flooding[J]. Petroleum Geology ＆ Oilfield Development in Daqing, 2024, 43(1): 52-58.
4	涂永易. CO₂水气交替注入对低渗油藏采收率的影响规律研究[D]. 大庆: 东北石油大学, 2023.
	TU Yongyi. Study on the influence law of CO₂ water alternating gas on the recovery efficiency of low permeability reservoir[D]. Daqing: Northeast Petroleum University, 2023.
5	赵彦清. 饥饿游戏搜索算法的改进与应用研究[D]. 桂林: 桂林理工大学, 2024.
	ZHAO Yanqing. Study on improvement and application of hunger games search algorithm[D]. Guilin:Guilin University Of Technology, 2024.
6	陈洪芳, 吴欢, 王子帅, 等. 基于改进粒子群算法的三坐标测量机最佳测量区域评价方法[J]. 仪器仪表学报, 2024, 45(11): 197-205.
	CHEN Hongfang, WU Huan, WANG Zishuai, et al. An Evaluation method for optimal measurement region of coordinate measuring machines based on improved particle swarm optimization algorithm[J]. Chinese Journal of Scientific Instrument, 2024, 45(11): 197-205.
7	吴金龙, 高楚珊, 唐小波. 基于遗传模拟退火算法的无线电能传输系统[J]. 电子测量技术, 2024, 47(22): 19-24.
	WU Jinlong, GAO Chushan, TANG Xiaobo. Wireless power transfer system based on genetic simulation annealing algorithm[J]. Electronic Measurement Technology, 2024, 47(22): 19-24.
8	任明, 汪志锋, 徐洁, 等. 基于遗传算法在反应釜模糊PID控制中的优化[J/OL]. 自动化技术与应用, 1-7[2025-02-17]. .
	REN Ming, WANG Zhifeng, XU Jie, et al. Genetic algorithm based optimization in reaction kettle fuzzy PID control[J/OL]. Techniques of Automation and Applications, 1-7[2025-02-17]. .
9	李嵘, 王晓瑜. 基于分布式PSODE算法的太阳能供暖系统节能控制方法[J]. 计算技术与自动化, 2024, 43(3): 21-25.
	LI Rong, WANG Xiaoyu. Energy-saving control method of solar energy heating system based on distributed PSODE algorithm[J]. Computing Technology and Automation, 2024, 43(3): 21-25.
10	杜礼明, 李永进, 李建. 基于遗传算法的磁悬浮列车升力翼的翼型及外形结构优化[J]. 科学技术与工程, 2024, 24(29): 12715-12722.
	DU Liming, LI Yongjin, LI Jian. Genetic algorithm-based optimization of airfoil and shape structure of lifting wing for magnetic levitation train[J]. Science Technology and Engineering, 2024, 24(29): 12715-12722.
11	赵冬阳. 基于多辅助融合任务的多模态青光眼分级算法研究[D]. 成都: 电子科技大学, 2024.
	ZHAO Dongyang. The research of multimodal glaucoma grading algorithm based on Multi-Auxiliary fusion tasks[D]. Chendu: University of Electronic Science and Technology of China, 2024.
12	邵子龙. 基于智能算法的CO₂驱油埋存一体化工程水气交替方案优化研究[D]. 长春: 吉林大学, 2023.
	SHAO Zilong. Optimization of water-alternating-gas scheme in CO₂ flooding and storage integration project based on intelligent algorithm[D]. Changchun: Jilin University, 2023.
13	YANG Y, CHEN H, HEIDARI A A, et al. Hunger games search: visions, conception, implementation, deep analysis, perspectives, and towards performance shifts[J]. Expert Systems with Applications, 2021, 177: 114864.
14	IZCI D, EKINCI S, EKER E, et al. Augmented hunger games search algorithm using logarithmic spiral opposition-based learning for function optimization and controller design[J]. Journal of King Sand University Engineering Sciences, 2024, 36(5): 330-338.
15	MA B J, LIU S, HEIDARI A A. Multi-strategy ensemble binary hunger games search for feature selection[J]. Knowledge-Based Systems, 2022, 248: 108787.
16	YANG Y, WU Y, YUAN H, et al. Nodes clustering and multi-hop routing protocol optimization using hybrid chimp optimization and hunger games search algorithms for sustainable energy efficient underwater wireless sensor networks[J]. Sustainable Computing: Informatics and Systems, 2022, 35: 100731.
17	YU S, HEIDARI A A, HE C, et al. Parameter estimation of static solar photovoltaic models using Laplacian Nelder-Mead hunger games search[J]. Solar Energy, 2022, 242: 79-104.
18	LIANG R, LE-HUNG T, NGUYEN-THOI T. Energy consumption prediction of air-conditioning systems in eco-buildings using hunger games search optimization-based artificial neural network model[J]. Journal of Building Engineering, 2022, 59: 105087.
19	单梁, 强浩, 李军, 等. 基于Tent映射的混沌优化算法[J]. 控制与决策, 2005, 20(2): 179-182.
	SHAN Liang, QIANG Hao, LI Jun, et al. Chaotic optimization algorithm based on tent map[J]. Control and Decision, 2005, 20(2): 179-182.
20	黄敬宇. 融合t分布和Tent混沌映射的麻雀搜索算法研究[D]. 兰州: 兰州大学, 2021.
	HUANG Jingyu. Research on sparrow search algorithm based on fusion of t-distribution and tent chaotic mapping[D]. Lanzhou: Lanzhou University, 2021.
21	崔文璇, 张祎彤, 张梅洁. 基于Tent-Chebyshev切换的粒子群优化算法[J]. 航空计算技术, 2023, 53(5): 15-19.
	CUI Wenxuan, ZHANG Yitong, ZHANG Meijie. Particle swarm optimization algorithm based on Tent-Chebyshev switching mapping strategy[J]. Aeronautical Computing Technique, 2023, 53(5): 15-19.
22	陈嘉兴, 刘扬, 刘晓茜, 等. Logistic混沌映射与差分进化改进人工蜂群优化水下定位[J]. 工程科学与技术, 2025, 57(1): 57-67.
	CHEN Jiaxing, LIU Yang, LIU Xiaoqian, et al. Improved artificial bee colony optimization underwater localization algorithm by Logistic chaos mapping and differential evolution[J]. Advanced Engineering Sciences, 2025, 57(1): 57-67.
23	楚哲宇, 唐秀英, 谭庆, 等. 基于逐维高斯变异的混沌麻雀优化算法[J]. 自动化应用, 2021, 62(8): 60-63.
	CHU Zheyu, TANG Xiuying, TAN Qing, et al. Chaos sparrow optimization algorithm based on dimensional Gaussian mutation[J]. Automation Application, 2021, 62(8): 60-63.
24	谢锋云, 王阳, 孙恩广, 等. 基于GMFDE与Singer-ELM的三相异步电机故障诊断[J]. 铁道科学与工程学报, 2024, 21(10): 4357-4369.
	XIE Fengyun, WANG Yang, SUN Enguang, et al. Fault diagnosis of three-phase asynchronous motor based on GMFDE and Singer-ELM[J]. Journal of Railway Science and Engineering, 2024, 21(10): 4357-4369.

参数	数值	参数	数值
平均有效厚度/m	15.2	饱和压力/MPa	2.6
平均孔隙度/%	17.26	原始气油比/（m³/t）	6.81
平均渗透率/10^-3 μm²	5.6	体积系数	1.083
平均含油饱和度/%	60.19	地下黏度/(mPa·s)	5.51
油藏中部埋深/m	3 600	地层原油密度/(g/cm³)	0.82
地层温度/℃	109	相对密度/(g/cm³)	0.885
原始地层压力/MPa	40.8	地面黏度/(mPa·s)	21.6

井名	注气速度最优值/(t/d)	注水速度最优值/(t/d)
W1	55	60
W2	45	10
W3	57	25
W4	40	23

[1]	ZHAO Haifeng, WANG Chengwang, XI Yue, WANG Chaowei. Study on dynamic stress field of fracturing in horizontal wells of deep coal seams: A case study of Daning-Jixian block in Ordos Basin [J]. Petroleum Reservoir Evaluation and Development, 2025, 15(2): 310-323.
[2]	TANG Huiying, DI Kaixiang, ZHANG Liehui, GUO Jingjing, ZHANG Tao, TIAN Ye, ZHAO Yulong. Tight oil imbibition based on nuclear magnetic resonance signal calibration method [J]. Petroleum Reservoir Evaluation and Development, 2024, 14(3): 402-413.
[3]	SUN Yili. Mechanism of CO₂ injection to improve the water injection capacity of low permeability reservoir in Shuanghe Oilfield in Henan [J]. Petroleum Reservoir Evaluation and Development, 2024, 14(1): 55-63.
[4]	CHEN Minfeng,QIN Lifeng,ZHAO Kang,WANG Yiwen. Effective injection-production well spacing in pressure-sensitive reservoir with low permeability [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(6): 855-862.
[5]	ZHANG Fengxi, NIU Congcong, ZHANG Yichi. Evaluation of multi-stage fracturing a horizontal well of low permeability reservoirs in East China Sea [J]. Petroleum Reservoir Evaluation and Development, 2023, 13(5): 695-702.
[6]	KONG Weijun,CUI Chuanzhi,WU Zhongwei,LI Lifeng,SU Shuzhen,ZHANG Jianning. Laboratory experiment of front migration and gas channeling of CO₂ immiscible flooding [J]. Petroleum Reservoir Evaluation and Development, 2022, 12(5): 764-776.
[7]	LIU Wenfeng,ZHANG Xuyang,SHENG Shuyao,WANG Kang,DUAN Yonggang,WEI Mingqiang. Research on a new combination method of production decline analysis for tight oil: Cases study of Mahu tight reservoir [J]. Petroleum Reservoir Evaluation and Development, 2021, 11(6): 911-916.
[8]	WEI Jiaxin,ZHANG Yan,SHANG Jiaohui,LYU Na,LIU Wenchao,WANG Hengkai,MA Fujian,ZHANG Qitao. Principal factor analysis on initial productivity in shale oil development: A case study of Block Li-151 in Changqing Oilfield [J]. Petroleum Reservoir Evaluation and Development, 2021, 11(4): 550-558.
[9]	Chen Yuanqian,Liu Pan,Lei Danfeng. Rethink, derivation and review on the starting pressure gradient and pressure sensitivity effect [J]. Reservoir Evaluation and Development, 2021, 11(1): 7-13.
[10]	Shi Leiting,Zhu Shijie,Ma Jie,Yang Mei,Peng Yangping,Ye Zhongbin. Numerical simulation of tight oil extraction with supercritical CO₂ [J]. Reservoir Evaluation and Development, 2019, 9(3): 25-31.
[11]	Wang Jian,Wu Songyun,Yu Heng,Zhang Zuowei,Xu Peng. Effect of CO₂ foam on water absorption profile improvement [J]. Reservoir Evaluation and Development, 2018, 8(4): 22-25.
[12]	Liu Dawei,Hu Gang,Li Shi,Tian Xuanhua,Li Pengchun. Improvement and application of method for calculating upper permeability limit in tight oil reservoir [J]. Reservoir Evaluation and Development, 2018, 8(3): 19-23.

Optimization of CO₂ water-alternating-gas injection parameters based on an improved hunger game search algorithm

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 24

Related Articles 12

Metrics

Comments

Recommended 0

Optimization of CO2 water-alternating-gas injection parameters based on an improved hunger game search algorithm

RichHTML

PDF (PC)

Like

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 11

References 24

Related Articles 12

Metrics

Comments

Recommended 0

Optimization of CO₂ water-alternating-gas injection parameters based on an improved hunger game search algorithm