特种油气藏 ›› 2025, Vol. 32 ›› Issue (6): 107-115.DOI: 10.3969/j.issn.1006-6535.2025.06.013

• 油藏工程 • 上一篇    下一篇

块状疏松砂岩油藏优势渗流通道综合评价方法

伍丽娟1,2, 朱启星1,2, 吴文杰3, 楼一珊1,2, 杨笑1,2   

  1. 1.长江大学油气钻采工程湖北省重点实验室,湖北 武汉 430100;
    2.长江大学低碳催化与二氧化碳利用全国重点实验室,湖北 武汉 430100;
    3.中国石油新疆油田分公司,新疆 吉木萨尔 831700
  • 收稿日期:2024-07-15 修回日期:2025-02-14 出版日期:2025-12-25 发布日期:2025-12-31
  • 通讯作者: 楼一珊(1964—),男,教授、博士生导师,1985年毕业于华东石油学院钻井工程专业,2007年毕业于中国石油大学(北京)油气井工程专业,获博士学位,现从事油气钻采方面的研究工作。
  • 作者简介:伍丽娟(1982—),女,讲师,2005年毕业于长江大学石油工程专业,2022年毕业于该校油气储运专业,获博士学位,现主要从事油气钻采及地面工程相关工作。
  • 基金资助:
    海洋油气高效开发全国重点实验室开放基金课题“基于注水井堵塞机理的井筒附加阻力表征模型与预测方法研究”(CCL2023RCPS0168RQN)

Comprehensive evaluation method for preferential seepage channels in massive unconsolidated sandstone reservoirs

WU Lijuan1,2, ZHU Qixing1,2, WU Wenjie3, LOU Yishan1,2, YANG Xiao1,2   

  1. 1. Hubei Key Laboratory of Oil and Gas Drilling and Production Engineering, Yangtze University,Wuhan,Hubei 430100,China;
    2. State key Laboratory of Low Carbon Catalysis and Carbon Dioxide Utilization, Yangtze University, Wuhan,Hubei 430100,China;
    3. PetroChina Xinjiang Oilfield Company,Jimusaer,Xinjiang 831700,China
  • Received:2024-07-15 Revised:2025-02-14 Online:2025-12-25 Published:2025-12-31

摘要: 针对疏松砂岩油藏长期注水开发后形成优势渗流通道影响开发效果的问题,以Z油田为例,结合地质和生产动态资料,运用综合评价算法、数值模拟及油藏工程方法,提出了块状疏松砂岩油藏优势渗流通道的精细化识别方法。研究表明:通过分析Y区域优势渗流通道发育特征及储层破坏程度、水驱开发特征对剩余油分布的影响,优势渗流通道可分为强、中、弱3个等级;储层韵律性、胶结指数、孔隙度、渗透率等地质条件及开发动态因素是优势通道的重要评价指标,利用改进的K-means聚类算法对589口井数据聚类分析,形成分级评价标准。采用基于熵权法的TOPSIS评价算法对优势渗流通道的平面展布进行识别,结合时变数值模拟方法对发育深度进行识别,利用油藏多信息反演方法识别发育方向。将成果应用于Z油田,同时对优势通道开展治理,预测5 a采收率可达到61.54%,累计增油量为158.5×104 t,显著改善水驱开发效果。研究成果为改善水驱开发效果提供了关键的科学依据。

关键词: 块状砂岩油藏, 优势渗流通道, 分级评价标准, 综合识别方法

Abstract: To address the adverse impact of preferential seepage channels formed during long term water flooding in unconsolidated sandstone reservoirs on development performance,this study takes Z Oilfield as a case study to propose a refined identification method for preferential seepage channels in massive unconsolidated sandstone reservoirs by integrating geological data with production dynamics and employing comprehensive evaluation algorithms,numerical simulation and reservoir engineering methods.The study shows that preferential seepage channels in Area Y can be classified into three intensity grades (strong, moderate and weak) based on their developmental characteristics, reservoir damage degree and waterflooding-induced impacts on remaining oil distribution.Key evaluation indicators include geological factors such as reservoir rhythm,cementation index, porosity, permeability and dynamic production parameters.Through cluster analysis of 589 well datasets using an improved K-means algorithm, a graded evaluation criterion was established.The plane distribution of preferential seepage channels is identified using an entropy-weighted TOPSIS algorithm, their development depth via time-variant numerical simulation and their development direction through reservoir multi-information inversion.Applying these findings to Oilfield Z and implementing channel governance shows significant results with the recovery rate projected to reach 61.54% in 5 years and a cumulative oil increase of 158.5×104 t, greatly improving water-flooding efficiency.This research offers crucial scientific insights for long-term water-flooding reservoir development and enhancing water-flooding efficiency.

Key words: massive sandstone reservoirs, preferential seepage channels, graded evaluation criteria, comprehensive identification methods

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