Importance of Real-Time Acquisition of Casing Gas Rate, PIP, and Fluid Level Data on Maximizing Drawdown in Highly Dynamic Horizontally Produced Wells

Victoria Pons, Robert Hovakimyan
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Abstract

Longer laterals, better perforations and larger frac jobs have all enabled increased production capabilities. However, production optimization practices, which were developed decades ago, are still in use today, and severely limit the ability to aggressively draw wells down. The data provided in the most common fluid level processes does not meet the challenges generated by fluctuating well dynamics and conditions. The irregularity and inconsistency of current fluid level measurement systems and downhole cards provide an incomplete snapshot of the well conditions when a more complete solution is needed for optimization. Moreover, pump-off controller technology cannot discern gas interference from pumped-off scenarios resulting in unplanned shutdown and lost production. A growing number of wells being produced on sucker rod pump are offering high PIP and high fluid levels above pump, yet production is being limited due to gas interference caused by reservoir dynamics. Pumping through these ever-changing scenarios more aggressively is often the solution, yet this change in optimization practices cannot take place without ensuring the system is not overloaded and rod buckling is not taking place. To have this conversation, casing gas rates, accurate PIP and fluid levels must be acquired and automatically analyzed at a much higher frequency. With a permanent, automated fluid level system, reservoir and fluid data is continuously attained. Paired with properly tuned algorithms and current optimization practices, these data points give a clearer and more complete story of what rod pumped wells experience continuously throughout the day. Additionally, more information about the reservoir is produced than previously available. This paper offers insight on current shortcomings in optimization logic for highly dynamic unconventional wells and introduces a proposed methodology to improve runtimes in high gas interference and high fluid level scenarios while extending the life of the installation and equipment. Results showing the methodology's effectiveness at improving production and enhancing drawdown over time are presented.
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在高动态水平生产井中,实时获取套管气速、PIP和液位数据对于最大限度地提高降压的重要性
更长的水平段、更好的射孔和更大的压裂作业都提高了生产能力。然而,几十年前开发的生产优化实践至今仍在使用,严重限制了积极抽井的能力。在最常见的液位过程中提供的数据不能满足波动的井动态和条件所带来的挑战。当需要更完整的解决方案进行优化时,当前的液位测量系统和井下卡的不规律性和不一致性只能提供不完整的井况快照。此外,抽离控制器技术无法识别抽离场景中的气体干扰,从而导致意外停机和产量损失。越来越多的油井采用有杆泵生产,提供高PIP和高液面,但由于储层动态引起的气体干扰,产量受到限制。在这些不断变化的情况下,更积极地进行泵送通常是解决方案,然而,如果不确保系统不过载、抽油杆不屈曲,这种优化实践的改变就无法实现。为了实现这一目标,必须获取套管气速、准确的PIP和液面,并以更高的频率自动分析。使用永久的自动化液位系统,可以连续获取储层和流体数据。与适当调整的算法和当前的优化实践相结合,这些数据点提供了一个更清晰、更完整的有杆泵井全天连续经历的故事。此外,可以获得比以前更多的储层信息。本文分析了目前高动态非常规井优化逻辑的不足,并介绍了一种建议的方法,可以在高气体干扰和高液位情况下改善运行时间,同时延长装置和设备的使用寿命。结果表明,该方法的有效性,在提高产量和提高减少随着时间的推移。
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