在ESP井降压过程中提供压力瞬态分析:案例研究和经验教训

L. Camilleri, Mohammed Al-Jorani, Mohammed Kamal Aal Najar, J. Ayoub
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引用次数: 1

摘要

虽然压力瞬态分析(PTA)是一种经过验证的解释技术,但它主要用于堆积,因为下降很难解释。然而,与堆积相关的延迟生产阻碍了PTA的常规应用,以确定皮肤和识别边界条件。介绍了几个案例研究,涵盖了一系列井的配置,说明了电潜泵(ESP)的井下瞬态液速测量如何在降井期间实现PTA,从而实现实时优化。利用ESP仪表实时数据计算高频瞬态流量的原理是,泵吸收的功率等于电机产生的功率。该技术不受流体比重的影响,因此可以根据含水率和相偏析的变化进行自校准。解析方程确保了物理规律始终得到尊重,从而提供了必要的可重复性。井下瞬态高频流量和永久压力表数据的结合使PTA能够使用常用的分析技术和软件,特别是因为叠加时间可以精确计算。连续生产历史的可用性对PTA具有重要的价值。它使得使用一组精确的叠加时间函数执行历史匹配和部署半对数分析成为可能。然而,由于输入数据的不完善,例如噪声、过度简化的生产历史、时间同步问题或井筒影响,测井-测井分析技术的应用通常更具挑战性。这些限制可以通过利用ESP的高频井下数据来解决。首先,叠加时间是一个有效的积分函数,可以抑制流量信号中的任何噪声。另一个重要的发现是,在亚静流体井中,井眼效应对降压井的影响要小于累积井,在累积井中,压缩性和再分布可以掩盖储层的响应。储层的关键属性,特别是流动性,几乎总是可以估计的,即使没有井下关井,也可以更好地确定表皮因子。最后,由于消除了生产延迟的约束,可以长时间监测降速,以确定边界并更有效地执行延时解释。确认一个恒定的压力边界或皮肤的变化,使更有效和主动的生产管理。在所有考虑的情况下,都可以进行完整的分析,包括增加和减少数据的比较。随着井下流量计算技术的发展,现在可以在ESP修井后的几天内提供完整的流入特征,而无需额外的硬件或人员到井场,也不会延迟生产。更重要的是,该技术提供了必要的信息来诊断生产不足的原因,确定备选增产措施,并管理井降。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Delivering Pressure Transient Analysis During Drawdown on ESP Wells: Case Studies and Lessons Learned
While pressure transient analysis (PTA) is a proven interpretation technique, it is mostly used on buildups because drawdowns are difficult to interpret. However, the deferred production associated with buildups discourages regular application of PTA to determine skin and identify boundary conditions. Several case studies are presented covering a range of well configurations to illustrate how downhole transient liquid rate measurements with electrical submersible pump (ESP) gauges enable PTA during drawdown and therefore real-time optimization. The calculation of high-frequency transient flow rates using ESP gauge real-time data is based on the principle that the power absorbed by the pump is equal to that generated by the motor. This technique is independent of fluid specific gravity and therefore is self-calibrating with changes in water cut and phase segregation. Analytical equations ensure that the physics is always respected, thereby providing the necessary repeatability. The combination of downhole transient high-frequency flow rate and permanent pressure gauge data enables PTA using commonly available analytical techniques and software, especially because superposition time is calculated accurately. The availability of continuous production history brings significant value for PTA. It makes it possible to perform history matching and to deploy semilog analysis using an accurate set of superposition time functions. However, the application of log-log analysis techniques is usually more challenging because of imperfections in input data such as noise, oversimplified production history, time-synchronization issues, or wellbore effects. These limitations are solved by utilizing high-frequency downhole data from ESP. This is possible first as superposition time is effectively an integral function, which dampens any noise in the flow rate signal. Another important finding is that wellbore effects in subhydrostatic wells are less impactful in drawdowns than in buildups where compressibility and redistribution can mask reservoir response. Key reservoir properties, in particular mobility, can nearly always be estimated, leading to better skin factor determination even without downhole shut-in. Finally, with the constraint of production deferment eliminated, drawdowns can be monitored for extended durations to identify boundaries and to perform time-lapse interpretation more efficiently. Confirming a constant pressure boundary or a change in skin enables more effective and proactive production management. In all cases considered, a complete analysis was possible, including buildup and drawdown data comparison. With the development of downhole flow rate calculation technology, it is now possible to provide full inflow characterization in a matter of days following an ESP workover, without any additional hardware or staff mobilization to the wellsite and no deferred production. More importantly, the technique provides the necessary information to diagnose the cause of underproduction, identify stimulation candidates, and manage drawdown.
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