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.
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.
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.
