阿联酋阿布扎比海上油田现场作业数字化转型之旅

Talha Rafi Ahmed, Bastien Januel, Morealvin Fuenmayor
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摘要

现场作业从各种设备和相关元数据中产生大量数据,如检查截止日期、维护计划、船上人员等。数据通常存储在筒仓中,每个实体都有一个数据监护人。该项目的目标是通过开发工程化的KPI来推动决策制定,并使组织中的每个人都可以访问数据,从而促进交叉协作,从而使数据多样化。开发了数据分析和可视化解决方案,以便使用机器人流程自动化脚本或商业智能报告工具自动执行低附加值任务。数据要么驻留在电子表格中,要么驻留在本地应用程序中。在IT技术的支持下,建立了集中式数据库。Scrum敏捷项目管理技术被用于开发数字解决方案。创建了一个高级数字路线图,咨询了包括利益相关者在内的所有团队。用例以精益A3问题解决格式被识别和捕获。每个用例都清楚地确定了对组织的好处,这被用来确定用例的优先级。敏捷团队建立了一个sprint,并根据最终用户的期望开发产品。通过每日站立会议的持续反馈循环帮助团队交付了增值产品。开发数字解决方案是为了自动化低附加值的任务,这样员工就可以专注于改进系统,而不是制作报告。通过开发工程KPI和预测分析,技术权威可以从被动维护转变为主动维护。利用线性回归机器学习,开发了早期预警数字解决方案,以监测并通知技术当局清理过滤器。通过自动化报告,生产团队节省了0.75个全职当量(FTE)的时间。通过可视化操作数据,如放空、生产剖面;该团队最大限度地减少了燃烧,从而节省了1%的运营成本。通过监测所有平台的化学品注入,节省了约10%的化学品预算。通过为维护和HSE团队等其他学科提供可视化数据,也实现了类似的成本节约。通过电子邮件通知,油井完整性团队可以更好地了解井环空压力的累积情况,从而降低了相关风险。通过与业务和交付团队组成多学科敏捷团队,数字团队在短短2年的时间内部署了20多个数字产品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Transformation Journey of Field Operations at Abu Dhabi Offshore Field in UAE
Field operations generate large volumes of data from various equipment and associated Meta data such as inspection due dates, maintenance schedule, people on board, etc. The data is often stored in silos with a data guardian for each entity. The objective of this project was to volarize the data by developing engineered KPI's to drive decision making and make data accessible for everyone in the organization to foster cross collaboration. Data analytics and visualization solutions were developed to automate low value-added tasks either using robotic process automation scripts or business intelligence reporting tool. Data was residing either in spreadsheet or native applications. With support of IT, centralized database was established. Scrum agile project management techniques were used to develop digital solutions. A high-level digital road map was created consulting all teams including stake holders. Use cases were identified and captured in lean A3 problem solving format. Each use case clearly identified the benefits to organization, and this was used to prioritize the use cases. A sprint was set-up with agile team and products were developed as per end user's expectation. The constant feedback loop via daily stand-up meetings helped the team deliver value added products. Digital solutions were developed to automate low value-added tasks so employees can focus on improving systems instead of producing reports. By developing engineering KPI's and predictive analytics, technical authority could shift from reactive maintenance to pro-active maintenance. Using linear regression machine learning, early warning digital solution was developed to monitor and notify technical authority to clean strainers. The production team achieved 0.75 full time equivalent (FTE) in time savings by automating reports. By visualizing operations data such as flaring, production profiles; the team minimized flaring leading to 1% OPEX cost saving. Around 10% of chemical budget was saved by monitoring chemical injections at all platforms. Similar cost savings were achieved by visualizing data for other disciplines such as maintenance and HSE teams. By being better informed about wells annuli pressure build-up via email notifications, wells integrity team reduced the associated risk. By forming a multi-disciplinary agile team with business and delivery team, digital team deployed 20+ digital products over a short time frame of 2 years.
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