基于驱替匹配性评价的水驱油藏注采参数智能协同优化方法

张先敏 ,  刘伟娜 ,  冯其红 ,  于金彪 ,  林博 ,  陈燕虎

中国石油大学学报(自然科学版) ›› 2026, Vol. 50 ›› Issue (4) : 254 -261.

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中国石油大学学报(自然科学版) ›› 2026, Vol. 50 ›› Issue (4) : 254 -261. DOI: 10.3969/j.issn.1673-5005.2026.04.024
地质能源开采工程

基于驱替匹配性评价的水驱油藏注采参数智能协同优化方法

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Intelligent collaborative optimization of injection-production parameters for waterflooding reservoirs based on displacement matching evaluation

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摘要

受储层非均质性及注采制度不合理等因素影响,水驱油藏开发过程中常出现窜流、驱替不均等问题,严重制约了采收率的提升。基于区域过水量与可动油储量的空间匹配关系,构建驱替均衡性表征指标,定量评价储层内部的注入水驱替匹配程度。在此基础上,构建以驱替匹配度最大化为目标的注采参数协同优化模型,并优选霜冰优化算法进行求解,形成基于驱替匹配性评价的注采参数智能协同优化方法,将其应用于埕岛中区油藏的开发实践中。结果表明,通过协同调配各井的注采液量,油藏整体注入水的驱替匹配性显著提高,有效改善水驱开发效果,预测生产5 a累积增油量达到146.53×104 m3,综合含水率下降1.7%,可为同类水驱油藏的效益开发提供切实可行的技术支撑。

Abstract

Due to reservoir heterogeneity and suboptimal injection-production schemes, waterflooding reservoirs often suffer from issues such as water channeling and displacement imbalance, which can significantly constrain oil recovery in high water cut stage. In this study, a novel displacement equilibrium indicator was proposed based on the spatial matching relationship between regional injected water volumes and movable oil reserves, enabling quantitative evaluation of the injection-displacement matching performance within the reservoir. A coordinated optimization model for injection-production parameters was established with the objective of maximizing spatial displacement matching. A reptile-inspired metaheuristic optimization algorithm (RIME) was selected and adopted to solve the model, forming an intelligent coordinated optimization method for injection-production parameters guided by displacement matching evaluation. The method has been applied to the Chengdao central block for a case study. The results demonstrate that the coordinated adjustment of injection and production rates across wells can significantly enhance the overall displacement matching performance, effectively improving the waterflooding effect. Over a predicted production period of five years, the cumulative oil increment reaches 146.53×10 4 m 3, and the average water cut is reduced by 1.7%, providing a practical and effective technical solution for efficient development of similar waterflooding reservoirs.

关键词

水驱油藏 / 余弦相似度 / 可动油储量 / 协同优化 / 霜冰优化算法

Key words

waterflooding oil reservoir / cosine similarity / movable oil reserves / collaborative optimization / reptile-inspired metaheuristic optimization algorithm

引用本文

引用格式 ▾
张先敏,刘伟娜,冯其红,于金彪,林博,陈燕虎. 基于驱替匹配性评价的水驱油藏注采参数智能协同优化方法[J]. 中国石油大学学报(自然科学版), 2026, 50(4): 254-261 DOI:10.3969/j.issn.1673-5005.2026.04.024

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基金资助

油气重大专项课题(2025ZD1406103)

中国石化科技攻关项目(P22094)

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