裂缝性油藏压裂水平井油气产能预测模型及半解析方法

Oil and gas productivity prediction model and semi-analytical method for fractured horizontal wells in fractured reservoirs

  • 摘要: 裂缝性油藏发育天然裂缝,水平井压裂后使得储层裂缝分布更加复杂,针对人工裂缝-天然裂缝-基质多渗流区域中多相产能预测的难题,本文提出了一种基于等效裂缝单元与动态泄油距离的产能预测模型,并利用半解析方法实现快速求解。首先,基于裂缝产状提出了等效裂缝单元,推导了考虑裂缝开度、密度、应力敏感等多物理参数下的等效渗透率表征公式,实现了对复杂裂缝系统渗流特征的等效刻画;进一步构建了考虑复杂裂缝产状的三区三相渗流数学模型,该模型利用物质平衡原理实现了人工裂缝区、天然裂缝区与基质间的多相渗流耦合,并基于动态泄油距离实现模型的高效求解。模型考虑人工裂缝、天然裂缝产状以及应力敏感,能够实现多区多相的产能预测,并将模型应用于某裂缝性油藏生产井,通过与实际矿场生产数据对比,表明该模型预测精度高,具备良好的工程适用性。研究结果表明,人工裂缝半长、天然裂缝走向及应力敏感是影响最终采出程度的关键因素,而天然裂缝的开度、密度等影响开发初期的油气产能以及递减速度。本研究为复杂裂缝性油藏的多相产能预测与生产优化提供了理论支持。

     

    Abstract: Naturally fractured reservoirs develop natural fractures, and after hydraulic fracturing in horizontal wells, the distribution of reservoir fractures becomes more complex. To address the challenge of predicting multiphase productivity in multiple flow regions involving hydraulic fractures, natural fractures, and the matrix, this paper proposes a productivity prediction model based on equivalent fracture elements and dynamic drainage distance, which is solved rapidly using a semi-analytical method. First, equivalent fracture elements are introduced based on fracture occurrence, and a characterization formula for equivalent permeability that considers multiple physical parameters such as fracture aperture, density, and stress sensitivity is derived, achieving an equivalent representation of the flow characteristics in complex fracture systems. Furthermore, a three-region three-phase flow mathematical model that accounts for complex fracture occurrence is developed. This model couples multiphase flow between hydraulic fractures, natural fractures, and the matrix using the principle of material balance and enables efficient solution based on dynamic drainage distance. The model incorporates the occurrence of hydraulic and natural fractures as well as stress sensitivity, enabling productivity prediction across multiple regions and phases. The model is applied to a production well in a fractured reservoir, and comparison with actual field production data demonstrates its high prediction accuracy and strong engineering applicability. The research results indicate that hydraulic fracture half-length, natural fracture orientation, and stress sensitivity are key factors influencing ultimate recovery, while natural fracture aperture and density affect early-stage oil and gas productivity and decline rates. This study provides theoretical support for multiphase productivity prediction and production optimization in complex fractured reservoirs.

     

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