基于改进MOGOA的微电解预处理压裂返排液优化

doi:10.16085/j.issn.1000-6613.2024-1837

化工进展 ›› 2025, Vol. 44 ›› Issue (12): 7238-7249.DOI: 10.16085/j.issn.1000-6613.2024-1837

• 资源与环境化工 • 上一篇

基于改进MOGOA的微电解预处理压裂返排液优化

赵晗蕾¹(), 范峥¹(), 李志潇², 革晓东², 胡科先³, 万征平³, 韩洁⁴

^1.西安石油大学化学化工学院，陕西西安 710065
^2.中国石油天然气股份有限公司长庆油田分公司第十采油厂，甘肃庆阳 745000
^3.中国石油天然气股份有限公司长庆油田分公司技术监测中心，陕西西安 710018
^4.陕西铭泽易昇能源技术有限公司，陕西咸阳 712000

收稿日期:2024-11-10 修回日期:2025-05-26 出版日期:2025-12-25 发布日期:2026-01-06
通讯作者: 范峥
作者简介:赵晗蕾（2000—），男，硕士研究生，研究方向为压裂返排液处理。E-mail：22212071148@stumail.xsyu.edu.cn。
基金资助:
国家自然科学基金青年项目(22308277);西安石油大学研究生创新与实践能力培养计划(YCS23214235)

Optimization of micro-electrolysis pretreatment for fracturing flowback fluids based on improved MOGOA

ZHAO Hanlei¹(), FAN Zheng¹(), LI Zhixiao², GE Xiaodong², HU Kexian³, WAN Zhengping³, HAN Jie⁴

^1.College of Chemistry and Chemical Engineering, Xi’an Shiyou University, Xi’an 710065, Shaanxi, China
^2.The 10th Oil Production Plant of Changqing Oilfield Branch Company, China National Petroleum Corporation, Qingyang 745400, Gansu, China
^3.Technology Monitoring Center of PetroChina Changqing Oilfield Company, China National Petroleum Corporation, Xi’an 710018, Shaanxi, China
^4.Shaanxi Mingze Yisheng Energy Technology Company Limited, Xianyang 712000, Shaanxi, China

Received:2024-11-10 Revised:2025-05-26 Online:2025-12-25 Published:2026-01-06
Contact: FAN Zheng

摘要/Abstract

摘要：

为探究微电解工艺处理压裂返排液的效能，需明确关键参数对污染物去除的影响并优化预处理技术路径。本文首先通过单因素实验考察反应时间、初始pH、曝气量和微电解材料加量对废水黏度及化学需氧量（COD）去除率的影响；继而利用响应面设计优化工艺参数，拟合COD去除率和降黏率的二阶响应模型；最后采用改进的多目标蝗虫优化算法（MOGOA）优化参数并验证效果。结果显示，改进算法能获得Pareto最优解，优化后参数为初始pH=2.3、曝气量2.3L/min、材料加量76g/L、反应时间73min。在此条件下，COD去除率65.92%、降黏率56.42%，与预测值误差小于2%，验证了模型可行性，该条件下氯离子、溴离子去除率分别为31.60%、26.53%。本文构建的“响应面模型-算法优化”体系提升了参数优化的精准度与效率，为压裂返排液预处理提供了可量化方案，相关方法对同类工艺优化具借鉴价值。

关键词: 压裂返排液, 响应面法, 多目标蝗虫优化算法, 参数优化, 多目标优化

Abstract:

To investigate the efficacy of the micro-electrolysis process in treating fracturing flowback fluid, and to clarify the influence of key parameters on contaminant removal and to optimize the pretreatment technology path, in this study, the effects of reaction time, initial pH, aeration and micro-electrolytic material addition on wastewater viscosity and chemical oxygen demand (COD) removal were firstly investigated by a one-way experiment. Following this, the response surface design was used to optimize the process parameters and fit a second-order response model for COD removal and viscosity reduction. Finally, the improved multi-objective locust optimization algorithm (MOGOA) was used to optimize the parameters and verify the effect. The results showed that the improved algorithm obtained a better Pareto optimal solution, the optimized parameters were: initial pH=2.3, aeration volume 2.3L/min, material dosage 76g/L, and reaction time 73min. Under these conditions, the COD removal rate was 65.92% and the viscosity reduction rate was 56.42%, and the error with the predicted value was less than 2%, which verified the feasibility of the model. The removal efficiencies of chloride ion and bromide ion under this condition were 31.60% and 26.53%, respectively. The "response surface model-algorithm optimization" system constructed in this study improves the accuracy and efficiency of parameter optimization, and provides a quantifiable solution for the pretreatment of fracturing drainback fluid, and the related method is valuable for the optimization of similar processes.

Key words: fracturing flowback fluid, response surface methodology, multi-objective grasshopper optimization algorithm, parameter optimization, multi-objective optimization

中图分类号:

X741

赵晗蕾, 范峥, 李志潇, 革晓东, 胡科先, 万征平, 韩洁. 基于改进MOGOA的微电解预处理压裂返排液优化[J]. 化工进展, 2025, 44(12): 7238-7249.

ZHAO Hanlei, FAN Zheng, LI Zhixiao, GE Xiaodong, HU Kexian, WAN Zhengping, HAN Jie. Optimization of micro-electrolysis pretreatment for fracturing flowback fluids based on improved MOGOA[J]. Chemical Industry and Engineering Progress, 2025, 44(12): 7238-7249.

图/表 15

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指标	数值
Ca²⁺/mg·L^-1	564.52
Mg²⁺/mg·L^-1	157.14
Cl^-/mg·L^-1	22856.96
Br^-/mg·L^-1	84.56
CO₃^2-/mg·L^-1	未检出
HCO₃^-/mg·L^-1	462.99
黏度/mPa·s	7.32

指标	数值
Ca²⁺/mg·L^-1	564.52
Mg²⁺/mg·L^-1	157.14
Cl^-/mg·L^-1	22856.96
Br^-/mg·L^-1	84.56
CO₃^2-/mg·L^-1	未检出
HCO₃^-/mg·L^-1	462.99
黏度/mPa·s	7.32

水平编码	因素
水平编码	pH（A）	曝气量（B）/L·min^–1	微电解材料加量（C）/g·L^–1	反应时间（D）/min
-1	2	1.5	60	40
0	3	2.0	80	60
1	4	2.5	100	80

水平编码	因素
水平编码	pH（A）	曝气量（B）/L·min^–1	微电解材料加量（C）/g·L^–1	反应时间（D）/min
-1	2	1.5	60	40
0	3	2.0	80	60
1	4	2.5	100	80

来源	平方和	自由度	均方	F值	P值	显著性
模型	2801.6	14	200.11	123.36	<0.0001	*
A	105.55	1	105.55	65.07	<0.0001	*
B	36.32	1	36.32	22.39	0.0003	*
C	36.74	1	36.74	22.65	0.0003	*
D	6.29	1	6.29	3.88	0.0691
AB	0.9716	1	0.9716	0.599	0.4518
AC	0.4565	1	0.4565	0.2814	0.6041
AD	1.37	1	1.37	0.846	0.3733
BC	0.0003	1	0.0003	0.0002	0.9892
BD	0.7085	1	0.7085	0.4367	0.5194
CD	0.0064	1	0.0064	0.0039	0.951
A²	2477.92	1	2477.92	1527.55	<0.0001	*
B²	201.53	1	201.53	124.24	<0.0001	*
C²	5.82	1	5.82	3.59	0.0791
D²	6.25	1	6.25	3.85	0.0699
残差	22.71	14	1.62
失拟项	20.53	10	2.05	3.76	0.1067
误差	2.18	4	0.5458
总计	2824.31	28
标准偏差	1.27
平均值	69.67
变异系数	1.83
决定系数R²	0.992
校正决定系数	0.9839
预测决定系数	0.9569
信噪比	33.6496

基于改进MOGOA的微电解预处理压裂返排液优化

Optimization of micro-electrolysis pretreatment for fracturing flowback fluids based on improved MOGOA

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图/表 15

参考文献 24

相关文章 15

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Metrics

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序号	pH	曝气量/L·min^–1	微电解材料加量/g·L^–1	反应时间/min	COD去除率/%	降黏率/%
1	3	2	80	60	80.66	68.51
2	3	2.5	60	60	75.14	69.21
3	4	2	100	60	58.98	46.35
4	4	2	80	40	56.09	44.76
5	3	2.5	80	40	75.55	67.03
6	4	2.5	80	60	56.24	51.95
7	2	2	60	60	60.20	68.58
8	3	2	100	80	81.82	69.79
9	3	2	100	40	80.99	67.98
10	3	1.5	60	60	71.19	61.50
11	4	1.5	80	60	52.49	43.93
12	4	2	60	60	54.17	45.02
13	3	2	80	60	80.62	69.86
14	3	1.5	80	40	70.96	60.72
15	3	2.5	100	60	76.76	68.89
16	3	2.5	80	80	75.93	69.05
17	3	2	60	80	78.54	68.86
18	2	2.5	80	60	59.59	72.33
19	4	2	80	80	57.12	46.93
20	2	2	80	40	61.66	67.70
21	3	2	80	60	81.59	71.32
22	2	1.5	80	60	57.82	68.15
23	2	2	80	80	65.04	71.10
24	3	2	80	60	81.58	70.55
25	3	1.5	100	60	72.85	62.15
26	3	2	60	40	77.55	66.03
27	3	2	80	60	79.85	70.16
28	3	1.5	80	80	73.03	62.83
29	2	2	100	60	66.37	71.82

来源	平方和	自由度	均方	F值	P值	显著性
模型	2447.6	14	174.83	70.61	<0.0001	*
A	1650.57	1	1650.57	666.61	<0.0001	*
B	127.97	1	127.97	51.68	<0.0001	*
C	5.04	1	5.04	2.04	0.1756
D	17.13	1	17.13	6.92	0.0198	*
AB	3.69	1	3.69	1.49	0.2421
AC	0.9136	1	0.9136	0.369	0.5533
AD	0.3774	1	0.3774	0.1524	0.7021
BC	0.2364	1	0.2364	0.0955	0.7619
BD	0.0017	1	0.0017	0.0007	0.9795
CD	0.2642	1	0.2642	0.1067	0.7488
A²	636.79	1	636.79	257.18	<0.0001	*
B²	41.04	1	41.04	16.58	0.0011	*
C²	13.82	1	13.82	5.58	0.0332	*
D²	23.13	1	23.13	9.34	0.0085	*
残差	34.66	14	2.48
失拟项	30.38	10	3.04	2.84	0.1632
误差	4.28	4	1.07
总计	2482.27	28
标准偏差	1.57
平均值	63.55
变异系数	2.48
决定系数	0.9860
校正决定系数	0.9721
预测决定系数	0.9268
信噪比	26.4979

参数		数值
初始pH		2.3
曝气量/L·min^–1		2.3
微电解材料加量/g·L^–1		76
反应时间/min		73
COD去除率
	预测值/%	67.08
	实验值/%	65.92
	误差/%	1.73
降黏率
	预测值/%	57.37
	实验值/%	56.42
	误差/%	1.66

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