通过数据分析提高作业效率和钻机性能

Ahmad Al Ady, Nata Franco, Mauricio Corona, Arnott Dorantes
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摘要

本文关注的是钻井数据从钻机传感器(高频)传输并与日常钻井报告和井计划(低频)集成时的性能优势。目的是系统地监测和评估整个钻井队在20个陆地钻井和完井油气井施工过程中的性能。第一步是将建井过程中的每个活动划分为主要类别,以便系统从所有历史井中识别操作顺序。为每个活动定义了一组kpi,并设置了基准。高频和低频数据都经过质量检查,并计算到预定义的kpi中。通过系统的分析方法,对指标进行审查,并通过基于网络的应用程序或自动化的每日报告,向团队成员提供对钻机能力、工作人员表现、操作限制和钻井工具效率的深入了解。借助来自钻机传感器的数据和从每日钻井报告中收集的数据,完成了KPI生成的可靠来源的完美匹配结果。所有历史数据的处理提供了一个很好的洞察力,以支持基准,并进行下一步,即无形损失时间的计算,衡量每一个建井活动的低效率。钻井队使用持续改进原则采取适当的行动来识别浪费和性能改进机会。这还包括实现所有最佳实践,并在我们执行操作的方式上引入变更。改进计划可以根据商定的基准来评估日常性能,从而提高作业效率,并扩大现有井计划的技术限制,为未来的井生成自动化的最佳复合时间。此外,在表现不佳的领域、非生产时间和无形的时间损失操作中,可以确定节省成本的举措。这种基于性能的方法与多钻机分析平台一起,已经成为项目中一个巨大的改进工具,极大地提高了钻机的性能,分享的一些案例和见解可能会使该地区的其他运营商和服务公司受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Operation Efficiency and Rig Performance Improvements through Data Analytics
This paper is focus on the performance benefits when drilling data is streamed from rig sensors (high-frequency) and is integrated with daily drilling reports and well plans (low-frequency). The purpose is to systematically monitor and evaluate the performance of the entire rig fleet across the well construction process in the 20 land rigs drilling and completing oil and gas wells. The first step is to segregate each activity in the well construction process in main categories to allow the system to recognize the operational sequence from all the historical wells. A set of KPIs are defined for each one of the activities and the benchmark is set. Both high-frequency and low-frequency data are quality checked and computed into the pre-defined KPIs. Through the systematic analysis approach, the indicators are reviewed and in-deep understanding of rig capabilities, crew performance, operational constrains and drilling tools efficiency is made available to the team members, accessed via web-based application or automated daily report. With the help of the data coming from the rig sensors and the data collected from the daily drilling reports a perfect match result in a reliable source for the KPI generation is done. The procession of all the historical data provides a good insight to support the benchmark and proceed with the next step, which is the computation of the Invisible Lost Time, measuring the inefficiency of each one of the well construction activities. The drilling team takes appropriate actions using continuous improvement principles to identify waste and performance improvement opportunities. This also involves implementing all the best practices and introduce changes on the way we perform operations. Improvement plans can be prepared for achieving greater operational efficiency by evaluating everyday performance against agreed benchmarks and extend technical limits of established well plans, generating automated best composite times for future wells. Additionally, cost saving initiatives are identified in underperforming areas, non-productive time, and invisible lost time operations. This performance-based approach along with the multi-rig analysis platform has been a tremendous improving tool in the project and greatly enhanced rig performance, and some of the cases and insights to be shared might mutually benefit other operators and service companies in the region.
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