利用油藏和近井孔隙力学模型进行精确的产量预测和产能下降分析

Yan Li, Bin Wang, Jiehao Wang, K. Zaki, Ruiting Wu, Bradley Barnum, Peggy Rijken, B. Guyaguler
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摘要

在井筒区域和远场,产能指数(PI)下降是由不同的机制引起的。井筒区域的损伤可以通过详细的井筒建模来模拟。为了综合考虑现场压力变化及其对油井产能的影响,采用了一种新开发的全油田和近井孔隙力学耦合方案来模拟PI随时间的退化。在将耦合方案应用于深井时,可以识别近井损害、油田和井间的相互作用。历史匹配、产量预测和安全压降限值可用于操作决策。将耦合方案应用于某深井的历史拟合和降压策略评价。包含储层性质和作业条件的油田模型与多个具有完井和详细井筒几何形状的近井模型相耦合。在历史匹配过程中,油田模型与近井模型明确耦合。现场压力动态映射到近井模型中,并根据近井模型中模拟的近井流动路径更新现场模型中的PI乘数。储层模型能准确地反映油井产能变化,用于历史拟合和产量预测。采用耦合方案,成功匹配了油井产量和PI趋势。在耦合方案中,对射孔效率、细粒运移、裂缝连通性、裂缝导流性、压实等PI下降损伤机制进行了建模。在每个耦合步骤中,在近井模型中计算的井产能都会作为现场模型中井的PI乘数进行更新。历史匹配结果显示,主要的PI下降因素是射孔效率、细粒运移和裂缝导流能力。近井眼射孔塌陷减少了流动面积,改变了流动路径。在高速区观察到细粒运移。它破坏了高速流道周围的渗透率,并且这种破坏随时间的推移而累积。保持射孔效率并进行增产作业以消除细粒损害可以缓解PI下降。以不同的递减率进行生产预测。结果表明,PI没有进一步下降,下降幅度小。在高压降速率下,PI可以持续下降,PI下降的斜率与压降压力有关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Accurate Production Forecast and Productivity Decline Analysis Using Coupled Full-Field and Near-Wellbore Poromechanics Modeling
Productivity Index (PI) decline is caused by different mechanisms in both the wellbore region and the far field. The damages in the wellbore region can be simulated by detailed wellbore modeling. To incorporate field pressure evolution and impact on well productivity, a newly developed full-field and near-wellbore poromechanics coupling scheme is used to model PI degradation against time. Near wellbore damages, field and well interactions are identified when applying the coupling scheme for a deep water well. History matching, production forecast and safe drawdown limits are derived for operation decisions. The coupling scheme is applied in a deep water well for history matching and drawdown strategy evaluation. The field model containing reservoir properties and operation conditions is coupled to multiple near-wellbore models which have completion and detailed wellbore geometry. During history matching, the field model is explicitly coupled with near-wellbore models. Field pressure is dynamically mapped into near-wellbore models and the PI multiplier in the field model for the given well(s) is updated based on near wellbore flow paths simulated in the near-wellbore models. Well productivity changes are accurately represented in the reservoir model for history matching and the production forecast. Using the coupling scheme, we successfully history matched well production and the PI trend. PI decline damage mechanisms, such as perforation efficiency, fines migration, fracture connectivity, fracture conductivity, compaction, are modeled in the coupling scheme. At each coupling step, well productivity calculated in near-wellbore model(s) is updated as a PI multiplier for the well(s) in the field model. History matching results showed the dominant PI decline factors are perforation efficiency, fines migration, and fracture conductivity. Near wellbore perforation collapse reduces flowing area and changes flow path. Fines migration is observed at the high velocity region. It damages the permeability around high velocity flow path and the damage accumulates with time. Maintaining perforation efficiency and conducting a stimulation job to remove fines damage could mitigate PI decline. Production forecast is performed with different drawdown rates. Results showed that there is no further PI decline with low drawdown. For high drawdown rate, PI could continue to decline and PI decline slope is related with drawdown pressure.
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