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bp部署哈里伯顿数字建井程序

   2021-11-16 580
核心提示:   据全球能源新闻网11月3日报道,近日,哈里伯顿(Halliburton)公司宣布成功部署Landmark的数字建井程序(Digital Well Progra

   据全球能源新闻网11月3日报道,近日,哈里伯顿(Halliburton)公司宣布成功部署Landmark的数字建井程序(Digital Well Program),作为英国石油公司油井设计优化器项目的核心组成部分。

  油井设计优化器简化并自动化了井规划过程,使用户能够优化井的布局和生产设计。该解决方案使用Landmark的数字建井程序(Digital Well Program),这是一个DecisionSpace 365云应用程序,其将规划和设计流程结合在一个单一的开放平台上,以改变油井的建造和交付方法。

  数字建井程序通过自动化工作流程、多场景分析和数字孪生模型帮助 bp 加快端到端的油井交付并提高效率。

  哈里伯顿数字解决方案和咨询公司Landmark高级副总裁 Nagaraj Srinivasan表示,哈里伯顿很高兴能与英国石油公司合作,缩短规划时间,加快设计周期,提高油井设计精度。这种开放和灵活的协作突出了基于标准和基于云的软件套件的数字工作流和数据驱动决策的运营影响。

  数字建井程序是DecisionSpace 365云应用程序,提供业界唯一真正集成的数字建井程序软件,充分利用了长期以来开放式体系结构的全部优势。

  这种开放的体系结构提供了共同创新的灵活性,以创建满足独特工作流需求的定制解决方案。微服务、机器学习和人工智能都有助于规划、设计和生产安全、经济、高效的油井。

  郝芬 译自 全球能源新闻网

  原文如下:

  BP DEPLOYS HALLIBURTON’S DIGITAL WELL PROGRAM PART OF DECISION SPACE 365 APPLICATION

  Halliburton Company announced the successful deployment of Landmark’s Digital Well Program as a core component of BP’s Well Design Optimizer project.

  The Well Design Optimizer streamlines and automates the well planning process to empower users to optimize well designs for placement and production. The solution uses Landmark’s Digital Well Program, a DecisionSpace 365 cloud application, which combines planning and design processes align="justify">  Digital Well Program helps BP to accelerate their end-to-end well delivery and increase efficiency through automated workflows, multi-scenario analysis, and digital twin models.

  “Halliburton is excited to collaborate with BP to reduce planning time, accelerate design cycles, and increase well design accuracy,” said Nagaraj Srinivasan, senior vice president, Landmark, Halliburton Digital Solutions and Consulting. “This open and agile collaboration highlights the operational impact of digital workflows and data-driven decisions based align="justify">  Digital Well Program is a DecisionSpace 365 cloud application that offers the industry’s align="justify">  This open architecture provides the flexibility to co-innovate alongside you to create a customized solution that meets your unique workflow needs. Microservices, machine learning, and artificial intelligence all help enable you to plan, design, and deliver safe, cost-effective and productive wells.

 
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