A Successful Case Study of a Collaborative Approach in Operational Optimization via Adoption of Automated Drilling Performance Measurement

Muhammad Afiq Arif Normin, Azlesham Rosli, M. M. H. Meor Hashim, M. Arriffin, Rohaizat Ghazali
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Abstract

Digital transformation has always been one of the focuses of the oil & gas industry players in recent years. However, the pandemic and oil downturn last year has put the industry players in a digitization overdrive in the pursuit of leaner and cost-effective operations to stay ahead in these unprecedented times. This paper discusses the strategy, approach, and challenges in the adoption and implementation of the Automated Drilling Performance Measurement (ADPM) onsite and remote approach. This includes Wells Real-Time Center (WRTC), which utilizes the ADPM, an easy access analysis application for operational optimization. The implementation of ADPM falls under the PETRONAS Well Cost Compression focus area of Operational Optimization, which aims to achieve the operational technical limit and non-productive time (NPT) reduction. The stages of operational optimization via ADPM are broken down into pre-spud operations, operations, and post-well analysis. A historical performance study is conducted in pre-spud operations and case study sessions with the project team and Subject Matter Experts (SMEs). Once in operations, best practices for the focused key performance indicator (KPI) and ad-hoc gap analysis are implemented onsite throughout the well construction. Remotely, the KPIs are monitored by WRTC while rig contractors monitor the crew performance. The performance review is studied in post-well analysis, and the best practices are compiled for replication and lesson learned to improve future well's excellence. The evaluation of rig performance is conducted based on the focused KPIs criteria and Rig Scorecard criteria. Implementation of ADPM set clear and defined strategy from top management on digitalization and performance optimization. ADPM also helps foster performance optimization awareness and culture with clearly defined roles, responsibilities, and expectations. For example, the application deployment for the Field B drilling campaign focused on tripping, drilling and casing KPI improvement while utilizing ADPM for data gathering and analysis. The result of this deployment is commendable, with a total actual savings of 2.94 days gained throughout the campaign. From 2016 to 2021, PETRONAS has gained a total of 39.03 days of actual savings for their entire rig fleet.
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采用自动化钻井性能测量协同优化作业方法的成功案例研究
近年来,数字化转型一直是油气行业关注的焦点之一。然而,去年的疫情和油价低迷使得行业参与者在追求更精简、更具成本效益的运营过程中加速数字化,以在这个前所未有的时代保持领先地位。本文讨论了采用和实施现场和远程自动钻井性能测量(ADPM)的策略、方法和挑战。其中包括Wells实时中心(WRTC),该中心利用ADPM(一种易于访问的分析应用程序)进行操作优化。ADPM的实施属于PETRONAS运营优化的井成本压缩重点领域,旨在实现运营技术极限和减少非生产时间(NPT)。通过ADPM进行的作业优化阶段分为开钻前作业、作业和井后分析。在开钻前作业和与项目团队和主题专家(sme)的案例研究会议中进行历史绩效研究。一旦投入运营,重点关键绩效指标(KPI)和临时差距分析的最佳实践将在整个建井过程中现场实施。远程kpi由WRTC监控,而钻井承包商则监控工作人员的表现。在井后分析中研究了性能评估,并汇编了最佳实践,以供复制和吸取经验教训,以提高未来油井的卓越性。钻机性能评估是根据重点kpi标准和钻机记分卡标准进行的。ADPM的实施为数字化和绩效优化制定了明确的高层管理策略。ADPM还通过明确定义的角色、责任和期望,帮助培养性能优化意识和文化。例如,油田B钻井作业的应用程序部署侧重于起下钻、钻井和套管KPI改进,同时利用ADPM进行数据收集和分析。这一部署的结果是值得赞扬的,在整个行动期间总共实际节省了2.94天。从2016年到2021年,马来西亚国家石油公司的整个钻井平台实际节省了39.03天的作业时间。
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