Petroleum Reservoir Evaluation and Development

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Research on the method of gel-inorganic particles synergy for damming to control water and enhance oil recovery in fracture-cavity reservoirs

ZHANG ZHIBO1, WANG DIANLIN1, ZHANG WEN2, ZHANG XIAO2, QU BOCHAO2, LI LIANG2, MAO RUNXUE1, SAGYNDIKOV MARAT3, WEI BING1   

  1. 1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu City, Sichuan Province, 610500, China;
    2. Sinopec Northwest China Oilfield Company, Urumqi, Xinjiang, 830011, China;
    3. Institute of Polymer Materials and Technology, Almaty, 050000, Kazakhstan
  • Received:2024-10-28

Abstract: To address the challenge of rapid bottom water breakthrough through fractures during water injection in fracture-cavity reservoirs, which results in shielded “attic oil” being difficult to exploit, this study proposes a novel strategy termed “synergistic gel-inorganic particle damming for water control and oil enhancement.” The method leverages the synergistic effect of gel blocking high-permeability channels and inorganic particles vertically stacking to construct a stable dam with specific height and slope within near-wellbore cavities. This elevates the overflow point, diverts bottom water during secondary flooding, expands the sweep volume, and mobilizes remaining oil at the reservoir top. Based on field well cases and geological models, a large-scale visual physical model of a fracture-cavity reservoir was developed. Utilizing similarity principles, equivalent plugging agents and injection parameters were designed to simulate the in-reservoir damming process. The study investigates the migration and distribution patterns of plugging agents under different injection modes and evaluates the impact of agent combinations, slug numbers, total agent volume, agent ratio, injection rate, and cavity filling degree on dam morphology and water-oil control efficacy. A predictive model based on the Back Propagation (BP) neural network was established to forecast dam height and enhanced oil recovery (EOR). Experimental results demonstrate: ①Synergistic damming using gel and inorganic particles effectively mobilizes attic oil, increasing recovery by 14.4% with significant water control and oil enhancement; ②Plugging agent combinations directly determine dam morphology and height, while injection parameters critically influence agent migration patterns and overall efficacy; ③The BP neural network model, after rigorous training, accurately predicts dam height and EOR under various injection modes, achieving mean squared errors (MSE) of 22.24 and 2.92, respectively. This research elucidates the mechanism of synergistic damming, identifies optimal operational parameters, and provides a novel and practical approach for improving recovery in mature waterflooded fracture-cavity reservoirs.

Key words: fracture-cavity reservoir, attic oil, damming for water control and oil increment, gel, inorganic particles, EOR

CLC Number: 

  • TE344