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实例探究 > DeNovo Drives Operational Excellence through Dynamic Simulation and Real-Time Insights

DeNovo Drives Operational Excellence through Dynamic Simulation and Real-Time Insights

技术
  • 分析与建模 - 预测分析
  • 分析与建模 - 数字孪生/模拟
适用行业
  • 石油和天然气
适用功能
  • 离散制造
用例
  • 预测性维护
  • 过程控制与优化
服务
  • 软件设计与工程服务
挑战
DeNovo, an independent upstream operating company based in Trinidad and Tobago, was seeking to leverage the best technology commercially available to run optimized operations that support innovation, enhanced workflows, and industrial efficiency. The company manages complex operations with a wide range of risk profiles and needed to be agile and highly efficient to remain safe, competitive, and profitable. Operating inefficiencies could account for as much as 25% loss in production output and up to a 40% increase in energy and operational costs.
关于客户
DeNovo is an independent upstream operating company headquartered in Trinidad and Tobago. The company is focused on monetizing proven natural gas reserves for use in the petrochemical sector. DeNovo operates Block 1(a), located offshore the west coast of Trinidad, and is actively seeking to grow its asset portfolio. The company is committed to building a safe, sustainable, and profitable business that will positively impact the Energy Industry and ultimately enhance Trinidad and Tobago.
解决方案
After conducting comprehensive research and an in-depth analysis of technology products and solutions, DeNovo concluded that AspenTech’s aspenONE® solution portfolio was the right solution to achieve its strategic goals. The company chose aspenONE primarily because of its ease of use, flexibility, and proven results from having been deployed at more than 3,000 sites around the world. AspenTech enables customers to achieve operational intelligence to ultimately drive operational excellence by enhancing design workflows, optimizing operations, and maintaining asset integrity. aspenONE will enable DeNovo to store and visualize all operational data in dynamic ways so they can make operational, tactical, and strategic decisions in real time.
运营影响
  • Enhanced design workflows while pushing the boundaries of what is possible
  • Optimized operations by running the assets to their performance limits
  • Maintained asset integrity while driving uptime via actionable insights driven by predictive analytics
数量效益
  • Reduced operating inefficiencies that could account for as much as 25% loss in production output
  • Reduced energy and operational costs by up to 40%

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