增强恢复

受物理启发的数据驱动方法管理液体载荷

这项工作引入了一种快速、有条理的方法,使用易于获取的现场数据检测液体负荷,同时避免传统的假设,并直接从现场数据确定临界气体速率。

图 1——不同气体速度下导致液体负载的低速状态。
图 1——不同气体速度下导致液体负载的低速状态。
来源:IPTC 24769。

气井积液会导致频繁关井并降低产量,因此需要定期清理或进行举升干预,以最大程度地减少干扰。本研究引入了一种快速、系统的方法,利用易于获取的现场数据检测积液,避免了传统的假设。该方法还直接从现场观测数据确定临界产气量,并提供了一种机制来推荐和确认最佳人工举升设置,以解决积液问题。

介绍

如上图 1所示,油井在其整个生命周期中会经历一系列流动模式。

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Enhanced recovery

Physics-Inspired Data-Driven Method Manages Liquid Loading

This work introduces a fast, methodical approach to detect liquid loading using easily available field data while avoiding traditional assumptions and to determine critical gas rates directly from field data.

Fig. 1—Flow regimes under different gas velocities leading to liquid loading.
Fig. 1—Flow regimes under different gas velocities leading to liquid loading.
Source: IPTC 24769.

Liquid accumulation in gas wells can result in frequent well shut-ins and reduced productivity, necessitating regular cleanups or lift interventions to minimize disruptions. This work introduces a fast and methodical approach to detect liquid loading using easily available field data, avoiding traditional assumptions. It also determines critical gas rates directly from observed field data and provides a mechanism to recommend and confirm the best artificial lift settings to address liquid-loading problems.

Introduction

As shown in Fig. 1 above, wells experience a series of flow patterns throughout their life cycle.

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