Intelligent Operating Envelope Integrated with Automated Well Models Improves Asset Wide PCP Surveillance and Optimization

M. Al Sawafi, Antonio Andrade, Nitish Kumar, Rahul Gala, Eduardo Marín, Sandeep Soni, Conny Velazco
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引用次数: 1

Abstract

Petroleum Development Oman (PDO) has been a pioneer in improving Well management processes utilizing its valuable human resources, continuous improvement and digitalization. Managing several PCP wells through Exception Based Surveillance (EBS) methodology had already improved PCP surveillance and optimization across assets. The key to trigger EBS was to keep Operating Envelope (OE), Design Limits updated in Well Management Visualization System (WMVS) after every change in operating speed (RPM), workover and new completion. The sustainable solution was required for automatic update of OEs, having well inflow potential and oil gain opportunities available for quicker optimization decisions for further improvements. PDO has completed a project automating PCP well modeling process where models are built and sustained automatically in Well Management System (WMS) for all active PCP wells, with huge impact on day-to-day operational activities. The paper discusses utilization of physics based well models from WMS to automatically update OE, identify oil gain potential daily and enable real time PCP performance visualization in WMVS. The integration of WMS and WMVS was completed to share data between two systems and automatically update well's OE daily. A tuned well model from WMS was utilized to provide well performance data and sensitivity analysis results for various RPMs. Among the various data obtained from WMS, live OE of torque and fluid above pump (FAP) for various speeds, operating limits, design limits, locked in potential (LIP) for optimization and pump upsize were utilized to process PCP well EBS and create live OE visualization. The visualization is created on a torque-speed chart where a live OE and FAP can be observed in provided picture with current RPM and torque with optimum operating condition. The project is completed after conducting successful change management across PDO assets and after thorough analysis of implementation following benefits were observed: 5% net gain of total PCP production is being executed with zero CAPEX using LIP reports. 50% of engineer's time was saved by updating OEs in WMVS automatically, reduction of false EBS and EBS rationalization. 200% improvement in PCP well performance diagnostics capabilities of Engineers. 15% CAPEX free optimization and pump upsize cases were identified based on well inflow potential. 100% visibility to PCP well's performance was achieved using well model. The visualization has supported engineers monitoring well performance in real time and easily identifying ongoing changes in well and pump performance. PCP well models have supported engineers in new PCP well design and pump upsize. The current efforts in utilizing real time well models, inferred production, automating processes to update OE is one more step toward Digitalization of PCP Surveillance and optimization and to achieve self well optimization for further improving operational efficiency.
集成了自动化井模型的智能操作包层改善了全资产范围内的PCP监测和优化
阿曼石油开发公司(PDO)利用其宝贵的人力资源、持续改进和数字化技术,一直是改善油井管理流程的先驱。通过基于异常的监控(EBS)方法管理几口PCP井,已经改善了PCP监控和跨资产优化。触发EBS的关键是在每次作业速度(RPM)、修井和新完井后,在井管理可视化系统(WMVS)中保持作业范围(OE)、设计限制的更新。需要可持续的解决方案来自动更新OEs,以获得井流入潜力和石油增益机会,从而更快地做出优化决策,进一步改进。PDO已经完成了一个自动化PCP井建模过程的项目,该项目在井管理系统(WMS)中自动建立和维护所有活跃的PCP井的模型,这对日常运营活动产生了巨大影响。本文讨论了利用WMS中基于物理的井模型来自动更新OE,识别每日产油量潜力,并在WMVS中实现实时PCP性能可视化。完成了WMS和WMVS的集成,在两个系统之间共享数据,并每天自动更新油井的OE。利用WMS调整后的井模型,提供了不同rpm的井动态数据和灵敏度分析结果。在从WMS获得的各种数据中,利用扭矩和泵上流体(FAP)在不同速度、操作限制、设计限制、锁定潜力(LIP)优化和泵大尺寸下的实时OE来处理PCP井EBS并创建实时OE可视化。可视化是在扭矩-速度图表上创建的,在提供的图片中可以观察到当前RPM和最佳操作条件下的动态OE和FAP。在对PDO资产进行了成功的变更管理之后,在对实施情况进行了彻底的分析之后,该项目完成了:使用LIP报告,在零资本支出的情况下,执行了总PCP产量的5%净收益。通过在WMVS中自动更新oe,减少错误EBS和EBS合理化,节省了50%的工程师时间。工程师的PCP井况诊断能力提高了200%,根据井流入潜力确定了15%的无资本支出优化和泵扩容情况。利用井模型实现了对PCP井动态的100%可见性。可视化技术支持工程师实时监控井况,轻松识别井和泵性能的持续变化。PCP井模型为工程师设计新的PCP井和加大泵的尺寸提供了支持。目前,利用实时井模型、推断产量、自动化流程来更新OE的努力,是迈向数字化PCP监测和优化的又一步,并实现了自井优化,从而进一步提高了作业效率。
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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