基于改进秃鹰搜索算法的聚合物驱油井组劈分  

Polymer Flooding Well Group Splitting Based on Improved Bald Eagle Search Algorithm

作　　者：张强[1] 陈诚 李青 薛冰 ZHANG Qiang;CHEN Cheng;LI Qing;XUE Bing(School of Computer&Information Technology,Northeast Petroleum University,Daqing 163318,China)

机构地区：[1]东北石油大学计算机与信息技术学院,大庆163318

出　　处：《计算机系统应用》2025年第2期254-263,共10页Computer Systems & Applications

基　　金：国家自然科学基金(42002138);黑龙江省博士后专项(LBH-Q20077);黑龙江省优秀青年教师基础研究支持计划(YQJH2023073);黑龙江省研究生课程思政建设项目计算智能及石油大数据分析导学思政团队(YJSKCSZ_202303)。

摘　　要：针对现有聚合物用量劈分算法,在处理不同区块井组时自适应性不足的问题,本文提出基于改进秃鹰搜索算法的聚合物驱油井组劈分方法,首先通过灰色关联度分析法获得初步劈分系数,进而计算每个采油井的累计注入量与实际产液量的差值,并设定合理阈值范围和约束条件;其次通过引入Sobol序列和ICMIC映射、黄金正弦莱维飞行引导机制及非线性收敛因子和自适应惯性权重策略改进秃鹰搜索算法,增强算法的搜索能力和收敛精度;最后利用改进秃鹰搜索算法对某油田实际区块内井组劈分系数优化模型进行求解,结果表明计算出的劈分注入量与实际产液量吻合度较高,具有较好的劈分精度.Given the insufficient adaptability of existing polymer dosage splitting algorithms when dealing with well groups in different blocks,this study proposes a polymer flooding well group splitting method based on an improved bald eagle search algorithm.Firstly,the preliminary splitting coefficients are obtained through grey correlation analysis.Then,the difference between the cumulative injection volume and the actual fluid production volume of each extraction well is calculated,and a reasonable threshold range and constraint conditions are set.Secondly,the bald eagle search algorithm is improved by introducing Sobol sequence and ICMIC mapping,golden sine Lévy flight guidance mechanism,nonlinear convergence factor,and adaptive inertia weighting strategy,which enhances the algorithm’s searching capability and convergence accuracy.Finally,the improved bald eagle search algorithm is used to solve the optimization model of well group splitting coefficients in the actual block of an oilfield.The results show that the calculated splitting injection volume has a high degree of agreement with the actual fluid production volume and has good splitting accuracy.

关 键 词：聚合物驱油 劈分系数 秃鹰搜索算法 ICMIC映射 黄金正弦 自适应惯性权重 

分 类 号：TE357.46[石油与天然气工程—油气田开发工程] TP18[自动化与计算机技术—控制理论与控制工程]