数字灯塔:油气行业数字化转型的可扩展模型

Luca Cadei, Gianmarco Rossi, Lorenzo Lancia, D. Loffreno, A. Corneo, D. Milana, M. Montini, Elisabetta Purlalli, Piero Fier, Francesco Carducci, Riccardo Nizzolo
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引用次数: 2

摘要

与其他业务相比,能源公司是数字化的后来者,但大数据、云基础设施和人工智能等新技术提供了巨大的机会。在这里,我们提出了一种集成的方法来实现油气工厂的数字化,旨在提高操作人员的安全性,优化生产,减少对环境的影响,从而最大化资产价值。这是通过复杂而持续的工作来完成的,这些工作是由数字化转型过程的引擎和真正目标的人提供动力的。在本文介绍的关键研究中,研究人员进行了全方位的努力,为作业者的日常工作提供了数字化和创新的工具,支持油藏、维护、生产和HSE工作流程。从许多不同的遗留系统开始,构建了一个集成仪表板:集成操作中心(IOC)。IOC现在可以在个人电脑和智能手机上使用,所有现场人员都可以在操作和管理层面使用。新的创新系统被开发并部署到IOC中,以利用在多年的工厂活动中获得的数据。机器学习和先进的分析解决方案为如何有效地安排维护操作,避免关键设备的不合规格和停机时间提供了新的日常见解,而复杂的生产优化器帮助技术人员应对意外情况并最大限度地提高产量。通过物联网(IoT)和便携式设备,现场部署了新的工具和工作流程,以简化工作并提高工人的安全性,重点是PPE的使用,并在紧急情况下提供快速信息以定位工人。来自站点和公司总部的人员通过在开发阶段在敏捷方法中共同工作,并在推出阶段进行指导,确保了数字化转型的成功。新的专业角色,如数据科学家和大数据工程师,与经验丰富的操作员共同努力,确保这一旅程的成功。这种合作是全面变革管理努力的基础,这确保了人员思考、行动和反应方式的顺利和不断的变化。我们相信,这是任何根本性变革的核心,无论数字化与否。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Lighthouse: A Scalable Model for Digital Transformation in Oil & Gas
Energy companies are latecomers to digitization with respect to other business, but new technologies like Big Data, Cloud infrastructure and Artificial Intelligence offer great opportunities. Here we present an integrated approach to the digitalization of an O&G plant aiming to offer operator safety enhancement, production optimization and reduction of the environmental impact to maximize the asset value. This has been accomplished by complex and continuous work powered by the people who are the engine and the real target of the digital transformation process. In the key study hereby presented, an all-round effort has been made to empower the operator's everyday work with digital and innovative tools supporting reservoir, maintenance, production and HSE workflow. Starting from a number of various legacy systems, a single integrated dashboard was built: The Integrated Operation Centre (IOC). IOC is now available on PC and smartphones to all site personnel both at the operational and managerial level. New innovative systems were developed and deployed into IOC to capitalize on the data acquired during years of plant activities. Machine learning and advanced analytics solutions provide new daily insight on how to efficiently schedule maintenance operations and avoid off-specs and downtime on critical equipment, while complex production optimizers help technicians react to unexpected situations and maximize production. Via IoT (Internet of Things) and portable devices, new tools and workflows were deployed onsite to ease the work and enhance the safety of workers with focus on usage of PPE and providing rapid information to locate workers during emergency situations. People from both site and company headquarters ensured the success of the digital transformation by working together in an Agile Method during the development phase and by coaching in the roll-out phase. New professional roles, like data scientist and big data engineers, joined effort with experienced operators to ensure the success of this journey. This cooperation was at the basis of a comprehensive change management effort, which ensured a smooth and constant change in the way the personnel thinks, acts and reacts. This, we believe, is at the very heart of any fundamental transformation, being it digital or not.
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