Reducing Time Losses in Well Construction Operations by Improving Early Detection through a Digital Operation Integrity Center and Digital Aids

Abdulqawi Al Fakih, Arnott Dorantes, Carlos Alberto Perez, Gerardo Javier Duque, Mohamed Nabil Dewidar, M. Nafi
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Abstract

Optimizing well time and its expenditures have become a necessity for which all drilling operators and service companies are challenged on. This requires a combination of well engineering and operations efforts, from avoiding service quality issues that lead to Non-Productive Time (NPT) to reducing or eliminating Invisible Lost Time (ILT). Traditionally, more focus and efforts are concentrated around NPT avoidance, as its impact is visible and has a huge and direct financial consequence that leads to an impact on well cost. The ILT was left out of focus due to needing proper measurement tools. In turnkey projects, the real-time monitoring concept was adopted to reduce the ILT and, at the same time, the NPT. From 2018 to 2022, the time interval selected for this study, nearly 800 wells were drilled with good progressive performance of feet per day (Ft/day) year on year and continuous reduction in NPT impact. The performance was measured on 40,000 days of operating time which was impacted by almost 5,000 days of related non-productive time. The multi-hour loss events were classified according to their root cause, divided into four major categories, hole condition, human decision, tool failure, and other external (i.e., waiting times). This paper will describe the solution for the first two causes categories of time losses. During the problem definition process, a common factor was the criticality of having a short response time at the early stages of the events. The evidence showed a direct correlation between the response time and the total lost hours in any event; hence the efforts focused on reducing the time between early detection and execution of corrective actions. Implementing an Operational Integrity Center aimed to standardize the detection of events and establish a central support team that will recognize wrong actions and recommend corrective actions quickly. The Center integrated multiple digital solutions to maximize the accuracy and reliability of predictions. The introduction of the digital operation integrity center (DOIC) resulted in a 30% reduction in the global NPT in terms of the number of days up to the end of 2022, considering the increasing operating time. This success is based on three major pillars: process, people, and tools. In terms of process, the team established a new set of processes (SOP)to monitor operations and set an iterative do-learn-improve cycle. Those processes have enhanced the workflows of transforming data into insights and delivering these insights to Well Site Leader (WSL), reducing the response time. In terms of people, the team was trained in process assurance, digital tools, event detection, stress management, and effective communication; the training focused on reducing the response time after identifying signs of possible events. The final pillar was implementing digital tools; the DOIC used monitoring and prediction tools. Monitoring tools are well known and have been used for many years to detect early signs of problems and deviation of trends from the drilling program; however, these tools rely majorly on human interpretation, becoming susceptible to bias or noise. Predictive tools will resolve the human impact since they are based on algorithms, and the new generations of algorithms have a certain level of interpretation. These tools have been identified as the major step toward reducing the response time to signs of events and increasing the reliability of the alerts. The new version of predictive tools is being introduced and trailed one by one in DOICs based on their maturity and business needs. The manuscript describes the methodology to implement a Digital Operation Integrity Centre, the lessons learned, and an in-depth view of the digital tool's capabilities to increase the prediction of events and their capability to advise on corrective actions before the event happens.
通过数字作业完整性中心和数字辅助设备改善早期检测,减少造井作业的时间损失
优化钻井时间和支出已成为所有钻井运营商和服务公司面临的挑战。这需要油井工程和作业的共同努力,从避免导致非生产时间(NPT)的服务质量问题到减少或消除隐形损失时间(ILT)。传统上,人们更多的关注和努力集中在避免NPT上,因为它的影响是显而易见的,并且会产生巨大而直接的经济后果,从而影响油井成本。由于需要适当的测量工具,ILT没有对焦。在交钥匙工程中,采用实时监测概念来减少ILT,同时减少NPT。从2018年到2022年(本研究选择的时间间隔),共钻了近800口井,并取得了良好的进步性,每年的进步性都达到了英尺/天(Ft/day), NPT影响也在不断减少。在40,000天的作业时间内测量了性能,其中近5,000天的相关非生产时间受到了影响。数小时的漏失事件根据其根本原因进行分类,分为四大类:井眼状况、人为决策、工具故障和其他外部因素(即等待时间)。本文将描述前两类时间损失原因的解决方案。在问题定义过程中,一个常见的因素是在事件的早期阶段具有短响应时间的重要性。证据表明,在任何情况下,响应时间与总损失时间之间存在直接关联;因此,努力的重点是缩短早期发现和执行纠正措施之间的时间。实现操作完整性中心的目的是标准化事件检测,并建立一个中央支持团队,该团队将识别错误操作并快速推荐纠正操作。该中心集成了多种数字解决方案,以最大限度地提高预测的准确性和可靠性。考虑到作业时间的增加,到2022年底,数字化作业完整性中心(DOIC)的引入使全球NPT减少了30%。这种成功基于三个主要支柱:过程、人员和工具。在过程方面,团队建立了一套新的过程(SOP)来监控操作,并设置了一个迭代的“做-学习-改进”周期。这些流程增强了将数据转换为见解并将这些见解传递给井场领导者(WSL)的工作流程,从而缩短了响应时间。在人员方面,团队接受了流程保证、数字工具、事件检测、压力管理和有效沟通方面的培训;培训的重点是在发现可能发生的事件的迹象后缩短反应时间。最后一个支柱是实施数字工具;DOIC使用了监测和预测工具。监测工具是众所周知的,并且已经使用多年,用于检测钻井计划的问题和趋势偏差的早期迹象;然而,这些工具主要依赖于人类的解释,容易受到偏见或噪音的影响。预测工具将解决人类的影响,因为它们是基于算法的,新一代的算法有一定程度的解释。这些工具被认为是减少对事件迹象的响应时间和提高警报可靠性的主要步骤。新版本的预测工具正在根据其成熟度和业务需求在doic中逐一引入和跟踪。该手稿描述了实施数字运营完整性中心的方法、所吸取的经验教训,以及对数字工具增强事件预测能力的深入看法,以及在事件发生之前就纠正措施提出建议的能力。
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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