数据驱动的气井动态模型将控制移交给工程师

C. Veeken
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引用次数: 2

摘要

本文提出了一个适用的气井动态模型,该模型利用了最小的流入和流出动态参数集,并演示了该模型用于描述实时井动态,比较井间和井间的井动态,并生成产量预测,以支持油井干预。流入和流出参数与已知的油藏和油井性质直接相关,可以根据常见的油井监测和生产数据进行校准。通过采用这种方法,工程师可以更好地了解气井和储层动态参数的大小和不确定性。
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Data Driven Gas Well Performance Model Hands Back Control to Engineers
This paper presents a fit-for-purpose gas well performance model that utilizes a minimum set of inflow and outflow performance parameters, and demonstrates the use of this model to describe real-time well performance, to compare well performance over time and between wells, and to generate production forecasts in support of well interventions. The inflow and outflow parameters are directly related to well-known reservoir and well properties, and can be calibrated against common well surveillance and production data. By adopting this approach, engineers develop a better appreciation of the magnitude and uncertainty of gas well and reservoir performance parameters.
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