A digital twin is a digital representation of a real-world entity or system; it uses real-world data to create simulations that can describe how that entity (or a product or process within) is performing – or could perform
At Eigen, we build digital twins for oil and gas operators to help improve safety, optimise production and drive operational efficiencies.
Digital twins to improve safety
No out-of-the-box digital twin solution exists for complex oil and gas operational systems
Designing a digital twin of a complete operational oil and gas system that generates billions of data points a day would take years – and it would likely be wrong.
Rather than tackle the whole system, we take a specific use-case and configure our technologies to solve it; we then move to the next use-case. In this way, we help clients payback their investments in digital twin technology fast.
- At Eigen we build digital twins for our clients in Ingenuity, based on the leading graph database opensource technology, Neo4j.
- Ingenuity is fully cloud native and underpinned by the latest continuous integration/continuous deployment processes.
• Ingenuity provides advanced visualisation of data from multiple sources, performs powerful online calculations so users can create virtual data series on-the-fly and build their own reports and dashboards.
Read Digital twin: technology of now
Miles is an Applied Mathematics and Theoretical Physics graduate, with 5 years experience in developing advanced visualisation solutions for Eigen's most demanding Oil & Gas customers. His abstract thinking training serves him well in transforming equipment and tag lists into the Neo4j graph model at the heart of Eigen Ingenuity's digital twin.
“I love to deliver working solutions to our customers. I particularly enjoyed developing the python script that automatically verifies all blowdown events. The python plug-in provides so much power to automate workflows!”
Digital twins that increase control and minimise interventions
Eigen’s digital twin technology helps clients manage their operations more safely, efficiently and reliably – and helps avoid making costly mistakes.
6.6% improvement in Efficiency through quick access to information
Improvement in efficiency through quick access to information
Saved per week
Automated Blowdown Verification
Number of weeks of a senior engineer’s time by automating the verification of blowdown events
Infinite possibilities thanks to graph database technology
Easy to read case studies, which dive into how and why our solutions are so effective.
At Eigen, we have been developing Digital Twins to support the solution of the most complex digitalisation problems in Oil & Gas, since 2015. Our digital twin technology is based on open source graph database technology.
Our Digital Twin technology enables:
- Safety Barrier Management
- Overall Risk Management
- Templated Dashboards
- Automated Process Safety Verifications
- Application scalability
A digital twin is a virtual representation of a system or asset that calculates system states and makes system information available, through integrated models and data, with the purpose of providing decision support over its life cycle. (Source: DNVGL-RP-A204)
A Digital Twin may be designed during the design phase of an asset to validate constructability, performance, functionality or capacities before the physical asset comes into existence. However, more and more, Digital Twins are being used during the operational phase of an asset to provide users with information, interaction/training, visualisation, search functions and as the basis for business logic calculations and recommended actions.
A Digital Twin should be designed with a clear purpose to provide value. In this respect, it should include the models, logic and data integration necessary to provide the information and interaction environments where it can deliver such value. Each Digital Twin includes a virtual representation of an asset and a connection to the real asset: The connection to the physical asset should provide the Digital Twin with the physical information required to perform its virtual representation functions.
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Over the past fifteen years, we have worked with many of the major oil and gas operators. We are trusted as engineering experts who deploy digital technologies to create value.
With this cloud-based platform our engineers can continue to work remotely, and it makes it easy to keep everyone in the company informed."