Shaping the Future of Work within Heavy-Asset Industries

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Challenges Faced by Industrial Organisations

Get a holistic

Slow decision-making

Problem-solving and decision-making can be too slow, ineffective, and resource-intensive.


Lack of access to centralised data

No single source of the truth accessible to stakeholders across the organisation.

Break Down

Unable to generate useful insights

Disconnected apps and data makes it difficult to generate game-changing ideas.


Too many applications

The average user signs in and out of over seven different systems each day.

Enable Data

Work and data are siloed

Different business areas pursue their own agendas and goals, so work and data become siloed.


Siloed business areas prevent collaboration

Work silos prevent people from collaborating as much as they could be.

Say hello to Industrial Work Surface

  • Industry Solution Templates
  • System of Work
  • System of Engagement
  • Data Ops

Industry Solution Templates

Industry Solution Templates​

Explore new ways of working with our tailor-made industrial solution templates. Unlock your potential with industry-leading solutions designed to help you enhance workflows, take charge of operations, and elevate organisational productivity.

System of Work

System of Work​

The Industrial Work Surface is where people come to make progress, get the job done, and execute business processes in the metaverse. Reimagining work means facilitating end-to-end processes more efficiently. "Work" refers to a broad range of activities involving various processes and actors, including analytics, optimisation, planning, management, and operations.

  • Execute business processes in the metaverse.​
  • End-to-end work processes.​
  • Analytics, optimisation, planning, management, operations​.

System of Engagement

System of Engagement​

The System of Engagement allows you to interact and collaborate with data, models, and individuals, execute tasks and complete actual work. Its capabilities range from built-in rich collaboration features, advanced contextual and time-based annotations, and adaptive user experiences driven by activity patterns and AI to integrated asset exploration with asset explorer, asset search, query builder, visual filtering, and overlays.

  • Execute business processes in the metaverse.​
  • Interact with the data, including self-service of advanced cross-domain data exploration, visualisation, annotation, and modification workflows.
  • Enable users and personas with different needs to be served optimally from the same underlying data.
  • Standardise asset exploration, information gathering and visualisation for global access.

Data Ops


The DataOps capabilities built into the Industrial Work Surface accelerate the realisation of business value by creating predictable delivery and change management of data and data models. DataOps automates the designing, deploying, and managing data delivery with appropriate levels of governance, using metadata and various enrichment and contextualisation methods to enhance the usability and value of data through the highly dynamic and “business real-time” Industrial Work Surface.

Our capabilities include:

  • Self-Service tools​
  • Contextualisation Engine​
  • Data Modelling, Integration, Quality management​

Enabling Safer, Smarter, Greener ways of working

Supporting the widescale digital transformation of the heavy asset industry.


Elevate safety, security, and reliability in your industrial operations through increased transparency, advanced error-reduction technologies, strategic personnel relocation, and continuous training and education initiatives.

Optimise delivery


Boost operational efficiency by unlocking critical insights that empower personnel to make smarter decisions. Eliminate the need for on-site staff through digitalisation and automation, enabling seamless remote operations.


Improve climate and environmental impact/performance by supporting fuel and voyage optimisation to support smarter decisions. Embrace the green revolution with us as your digital partner.

Enabling Safer, Smarter, Greener ways of working

Built with our proven technology, the Industrial Work Surface is already delivering measurable value.


Use Kongsberg Digital solutions

Kongsberg Digital technology is relied on by 30% of real-time drilling operation centers worldwide.


New assets each year

Kongsberg Digital helps digitally transform up to 15 assets annually for the world’s largest oil and gas companies.


Reduction in time spent at work

The Industrial Work Surface enables users to instantly see where there will be conflicts with simultaneous operations.

Technology Capabilities of the Industrial Work Surface



The Industrial Work Surface empowers data and analytics teams to seamlessly observe, test, and automate the tools, data, processes, and environments within their entire data analytics organisation.

This allows experts to gain valuable insights from your data, driving innovation and maximising efficiency.



We harness the power of Generative AI to transform your data experience and help users extract valuable insights from documents and extensive transactional data sets faster and easier using natural language and voice commands.

Integrating AI-driven tools like chat and advanced search functions serve as powerful enhancements to your existing workflows, delivering the highest value when combined with other features within our Industrial Work Surface.



Utilise our cloud platform and the Industrial Work Surface to access real-time, high-fidelity simulations of your process facilities.

This empowers you to swiftly identify and address issues and opportunities that can help you improve day-to-day operations.

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Maximise business performance and drive more value

Built with our proven technology, the Industrial Work Surface is already delivering measurable value.

3 months


An asset has a typical digitisation time of 3 months, enabling rapid scaling across the enterprise.


Users are more efficient.

With one system to plan, execute and close out work, 85% of users feel they are more efficient.


Users Worldwide

At-scale delivery of digital twin technology to integrated energy companies.

Strategic Multi-Year Agreements to Digitalise Global Assets

Both Shell and Chevron have partnered with Kongsberg Digital in multi-year agreements to expand the deployment of our solutions to assets globally. This will drive greater profitability and sustainability by transforming assets for long-term agility, resilience, and performance.

“We continue to strengthen our digital twin capability and expand deployment to more assets globally. Wider digital twin adoption across our assets enables Shell to continue to accelerate our digital innovation journey driving efficiency improvments. ”

Owen O'Connell

SVP & CIO - Upstream and Projects & Technologies

“This is really changing the way that engineers get work done. The speed of change in our industry requires us to think differently, act differently and support each other differently to have more impactful results in meeting the world's energy needs.”

Keith Johnston

Manager, Digital Engineering

Gather more insights by exploring more helpful resources

See how Kongsberg Digital’s deep domain expertise helps industrial organisations achieve more.

Oil and gas supermajors, DSOs and renewable companies are all challenged to improve operational efficiency, fill the knowledge gap left by an ageing workforce, and adapt to rapid changes in operating conditions. This requires doing more with less. In other words, adopting new digital ways of working that can help you be more efficient and effective at scale with less cost and risk. Understanding and getting the most out of three emerging technology trends are key to enabling these new ways of working: DataOps, digital twins and AI.

1. Unlock the path to operational efficiency with DataOps

Data silos are what’s standing in the way for many energy companies to make meaningful improvements to operational efficiency. When data is not easily shared across operations, it’s as if each oil rig is on its own out at sea. Worker and operator productivity is also a key area for improvement, where data silos result in the use of too many disparate systems and manual data entry while limiting remote collaboration.

Now imagine a world where data is standardised, centralised and democratised. This is what DataOps can do, serving as a key foundation for enabling more widespread and effective adoption of new technologies and ways of working. Greater data availability empowers your teams to make efficiency improvements at scale across geographies and value chains while improved data quality will supercharge other technologies like digital twins and AI.

2. Transform ways of working with a digital twin

Nearly half (41%) of energy professionals surveyed reported a lack of qualified staff being among the biggest threats to their company over the next five years. As the energy industry workforce ages, how will you be able to train new staff effectively and efficiently to fill the knowledge gap?

With a digital twin, you could run simulations and enable remote operations to cut back on travel to rigs and wells. This helps cut costs, increase safety, and scale up training capabilities. It’s also much easier for new hires to get up to speed when it’s possible to perform tasks remotely, undergo training in a virtual environment, and stay on top of key data all in one simple user interface. More people will be willing and able to perform energy work efficiently in a safer environment.

Examples of safer and smarter ways of working enabled by digital twins

  • Ensure secure simultaneous operations (SIMOPS) with digitalised work permits
  • Enable a single remote operations manager to support multiple rigs
  • Simulate hazardous operational situations to see how different reactions would play out

3. Make critical decisions faster than humanly possible with the help of AI

AI has been trending heavily across industries and society lately. But you might not be sure exactly how to achieve major operational efficiency gains with this powerful technology in energy. First, try looking at it in the context of decision-making. Consider that operating conditions are changing faster than ever. Adapting production and consumption will be crucial to empowering the energy transition and staying competitive.

From more effective predictive maintenance and prescriptive analytics to autonomous asset optimisation, AI generates the insights from your data needed to go from reactive to proactive. As AI usage in energy advances, operators will be able to get optimisation suggestions in real-time and the AI will increasingly be able to make certain optimisations on its own. A digital twin empowered with AI can lead to substantial cost savings and efficiency gains in processes such as turnarounds and energy nomination.

Case in point: AI-driven energy nomination

Use an AI-powered digital twin to predict a plant’s energy consumption and test various operating scenarios to fine-tune nominations accuracy. By operating closer to the actual consumption of nominations, you can avoid penalties for selling overcapacity or buying back excess energy while ensuring more responsible energy usage.

Move beyond the buzz and learn how to master these trends

All three trends go hand in hand, as you need the high-quality centralised data of DataOps to get better results from machine learning. A digital twin offers an ideal context to interact with AI-generated suggestions, creating an unprecedented system of work that enables people to make the best decisions every time. The challenge lies in understanding what these trends really mean, the impact they can have and how you can begin to leverage them.

Are you ready to push past the buzz and uncover how DataOps, digital twins, and AI can help you do more with less? Get your hands on our free in-depth guide Three Trends Poised to Transform the Heavy-Asset Sector in 2024 for in-depth analysis, industry insider tips, and actionable strategies for adoption.

Top energy industry trends for 2024Top energy industry trends for 2024

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