Modeling Transient Inflow Performance Relationship in Artificial-Lift Systems

Z. Xiang, C. Kabir
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Abstract

This study presents a transient inflow-performance relationship (IPR) model using the steady-state solution to the diffusivity equation on a periodic varying well-flowing pressure. A wellbore model can be coupled to accurately depict the deliverability from wells with an artificial-lift system (ALS), such as gas lift and plunger lift. The commercial simulators allowed verification of model results and field data validated the solution approach. For verification of this simplified IPR modeling approach, we first attempted to replicate two-step rate flow and shut-in periods, such as those associated with a transient flow test. Our model successfully reproduced those transient pressure profiles obtained from a rigorous superposition approach, generated with an analytical model using a commercial software package. Thereafter, we replicated the results of a coupled wellbore/reservoir model for a gas-lift well, using a numerical simulator. The difference between the results of rigorous simulators and our simplified transient-IPR model turned out to be well within engineering accuracy. Field data from two plunger lift operations validated the transient-IPR model presented in this study. One important aspect to note is that a smaller period of oscillation translates into a more significant error between the traditional steady-state IPR model and the actual transient-IPR model. This finding suggested the need for the accuracy of the transient-IPR model in ALS to express the realistic rates and pressures. By capturing the essence of transient behavior, it is possible to combat downhole tool failures due to large pressure fluctuations or issues with surface metering due to higher than expected rates.
人工举升系统瞬态流入动态关系建模
本文利用扩散系数方程的稳态解,在周期性变化的井流压力下建立了一种瞬态流入动态关系模型。井筒模型可以与人工举升系统(如气举和柱塞举升)相结合,以准确描述井的产能。商业模拟器可以验证模型结果,现场数据验证了解决方案的方法。为了验证这种简化的IPR建模方法,我们首先尝试复制两步速率流动和关井周期,例如与瞬态流动测试相关的周期。我们的模型成功地再现了从严格的叠加方法获得的瞬态压力分布,并使用商业软件包生成了分析模型。之后,我们使用数值模拟器复制了气举井的井筒/油藏耦合模型的结果。结果表明,严格的仿真结果与我们简化的瞬态ipr模型之间的差异完全符合工程精度。两次柱塞举升作业的现场数据验证了本研究中提出的瞬态ipr模型。需要注意的一个重要方面是,较小的振荡周期意味着传统稳态IPR模型与实际瞬态IPR模型之间的误差更大。这一发现表明,需要在ALS瞬态ipr模型的准确性,以表达现实的速率和压力。通过捕捉瞬态行为的本质,可以解决由于压力波动大而导致的井下工具故障或由于高于预期速率而导致的地面计量问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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