有水气藏水侵特征分析方法现状及未来发展方向OA
Water influx characterization methods in water-bearing gas reservoirs:advances and prospects
有水气藏在开发过程中有可能因水侵导致气井产能下降,甚至水淹停产而使得气藏采收率大幅降低.为了给后续研究和工程应用提供参考,系统梳理了现有水侵特征分析方法的现状与研究进展,采用文献分析与技术对比的方法,重点评述了水化学分析、生产动态判别、压力响应、开发测井与测试技术以及数据驱动等方法在水侵类型识别、水体活跃程度评价、水侵路径追踪等方面的适用性与局限性.研究结果表明:①水化学分析方法可有效区分不同水源类型,但响应滞后;②生产动态分析方法虽简便直观,但却难以定量表征水侵强度;③压力响应类方法能够动态监测水侵过程并定量评估其影响,但部分模型尚未充分考虑水封气等机制;④开发测井与测试技术具有高分辨率和较强针对性,但实施成本较高;⑤数据驱动方法在产水趋势预测方面展现出良好潜力,但其性能高度依赖于数据质量与算力支撑.结论认为,单一的水侵特征分析方法都存在着局限性,实际应用中需融合多种方法以提升水侵识别与评价的综合精度与可靠性,未来应构建兼顾物理约束与数据驱动的水侵早期预警体系,进而实现从滞后响应向早期主动防控的转变.
During the development process,water-bearing gas reservoirs may suffer water influx,leading to reduced gas well productivity or even well shutdown,significantly lowering the reservoir's recovery rate.To provide reference for subsequent studies and engineering applications,this paper systematically investigates the research advances of existing water influx characterization methods.According to literature review and technology comparison,this paper critically evaluates the applicability and limitations of hydrochemical analysis,production performance diagnosis,pressure response interpretation,development logging and testing techniques,and data-driven methods in identifying water influx types,assessing aquifer activity,and tracing water influx pathways.The findings indicate that:(i)hydrochemical analysis effectively distinguishes different water sources but suffers from response lag;(ii)the production dynamic analysis method is simple and intuitive,but it is difficult to quantitatively characterize the intensity of water invasion;(iii)pressure response interpretation enables dynamic monitoring and quantitative assessment of water influx impacts,though some models fail to adequately account for mechanisms such as water-blocking gas;(iv)development logging and testing techniques offer high resolution and strong specificity but entail high operational costs;and(v)data-driven method demonstrates strong potential in forecasting water production trends,although their performance is highly dependent on data quality and computational resources.It is concluded that due to the inherent limitations of individual methods,an integrated multi-method approach is essential in practice to enhance the accuracy and reliability of water influx identification and evaluation.Future efforts should focus on developing an early-warning system for water influx that synergistically combines physical constraints with data-driven techniques,thereby shifting from reactive,lagging responses to proactive,early-stage prevention and control.
李晓平;彭港珍;谭晓华;权芳;邓永建;周潇君;韩晓冰;卿太雄
西南石油大学石油与天然气工程学院 四川 成都 610500西南石油大学石油与天然气工程学院 四川 成都 610500西南石油大学石油与天然气工程学院 四川 成都 610500中国石油青海油田公司采气一厂 青海格尔木 816000西南石油大学石油与天然气工程学院 四川 成都 610500西南石油大学石油与天然气工程学院 四川 成都 610500西南石油大学石油与天然气工程学院 四川 成都 610500西南石油大学石油与天然气工程学院 四川 成都 610500
能源科技
有水气藏水侵特征水化学生产动态压力响应开发测井与测试技术数据驱动
Water-bearing gas reservoirWater influx characterizationHydrochemical analysisProduction dynamic diagnosisPressure response interpretationDevelopment logging and testing techniqueData-driven method
《天然气勘探与开发》 2026 (1)
40-50,11
国家自然科学基金项目"四川盆地有水气藏CO2驱提高采收率及其有效封存研究"(编号:U23A2022)、国家科技重大专项项目"四川盆地深层超深层碳酸盐岩气藏勘探开发技术与集成示范"(编号:2025ZD1402500).
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