Special Oil & Gas Reservoirs ›› 2025, Vol. 32 ›› Issue (6): 107-115.DOI: 10.3969/j.issn.1006-6535.2025.06.013

• Reservoir Engineering • Previous Articles     Next Articles

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

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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