Asset Digital Twin

Home > trend > Asset Digital Twin

Our DHB4.0 can have an Asset Performance and Economic Management (APEM) solution that creates Digital Twins based on operational / fleet data of components (pumps or compressors), critical assets (turbines) or systems of assets (an entire power station). 

With that solution, we can saved at leat $1.5BN  through Digital Twins real-time monitoring capabilities, and currently have 1.2m Digital Twins of jet engines, wind-farms, off-shore oil rigs, power generation equipment, pumps, compressors, chillers, and more.

We can have thousands of different Digital Twin ‘blueprints’ available for customers in our analytics catalog – it’s easier than ever to rapidly get value from Digital Twin.

That specific solution can delivery huge value to your company. 

DHB can working as one advanced RAM analysis (reliability, availability, maintainability) tool specifically developed for the upstream oil and gas industry. It includes extensive features for modelling flow networks, maintenance strategies, typical oil and gas upstream operations, transport logistics and storage tanks.

Performance forecasting

  • DHB can be a powerful RAM analysis tool for predicting asset performance in any industry
  • Discrete event-driven simulation
  • Extensive flow modelling capability including divergent and convergent flow
  • Highly intuitive graphical user interface
  • Multi-level and multi-product criticality analysis ranking most critical items
  • World standard RAM analysis tool for key players in any market


Optimize production efficiency with RAM analysis

Optimizing production and minimizing costs is a constant challenge. Key players in some industry rely on the solution behind DHB4.0 to make informed decisions about their assets. If you are facing a modelling challenge, most likely we have faced it and solved it.

 

Key benefits of RAM analysis with DHB4.0

  • Measure upstream oil and gas production availability/efficiency
  • Debottlenecking via capacity analysis of the different systems present in a node
  • Decision-making on actual productivity and financial figures
  • Design optimization (oil storage tanks design, main processes, subsea assets, distribution systems etc.)
  • Full supply chain modelling from wells via production platforms to tank farms
  • Increase production efficiency, reduce operational expenditure, optimize capital expenditure.

The processes do not remain constant during the various stages of their life cycle, either because production capacity changes and/or the products and conditions of the processes change. Adding to this the complex nature of dependencies and constraints on equipment configuration and maintenance typically found in large-scale systems in different industry. Our solution on DHB4.0 is an excellent way to improve the efficiency of systems.

It allows you to model production network scenarios that consider demand, operations and maintenance with a logic that represents real-life scenarios. Our solution behind DHB4.0 is a performance simulator throughout the life cycle of assets, which uses event-based simulation techniques that predict how a given design can meet a performance objective.

It is a source of information that allows users to make quick and effective decisions, considering asset performance, equipment reliability, equipment configuration, equipment capacity, maintenance strategy, logistics, sales agreements, and more.

Performance forecasting

  • It is a powerful RAM analysis tool for predicting asset performance in some industries
  • Discrete event-driven simulation
  • Extensive flow modelling capability including divergent and convergent flow
  • Highly intuitive graphical user interface
  • Multi-level and multi-product criticality analysis ranking most critical items
  • World standard RAM analysis tool for key players in the upstream oil and gas market and other segments

 

Key benefits of RAM and Asset Performance analysis with DHB4.0

  • Measure upstream and downstream oil and gas production availability/efficiency
  • Debottlenecking via capacity analysis of the different systems present in a node
  • Decision-making on actual productivity and financial figures
  • Design optimization (oil storage tanks design, main processes, subsea assets, distribution systems etc.)
  • Full supply chain modelling from wells via production platforms to tank farms
  • Increase production efficiency, reduce operational expenditure, optimize capital expenditure.
  • Identify critical equipment
  • Automatically build failure models 
  • Optimize your maintenance plans using simulation and reduce costs
  • Predict system availability and optimize your design
  • Model system dependencies with RBDs or fault trees
  • Build in operational rules for accurate performance simulation
  • Determine the most effective spares holding policy
  • Predict life cycle costs
  • Analyze your test data for stressed failures
  • Identify plant performance trends