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.

Ensure

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.

Drive

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.

Accelerate

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

DataOps​

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.

Safer

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.

Smarter

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.

Greener

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.

30%

Use Kongsberg Digital solutions

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

15

New assets each year

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

10%

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

Drive

DataOps

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.

Drive

AI

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.

Drive

Simulation

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.

Read more

Maximise business performance and drive more value

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

3 months

Time-to-Value

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

85%

Users are more efficient.

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

~20,000

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
Shell

“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
Chevron

Gather more insights by exploring more helpful resources

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

Every industry has problems, and the Downstream segment is no exception. The biggest problem with downstream asset performance management and reliability today? Operators are not leveraging the full potential of digital twins to maximise the efficiency, safety, and intelligence of their operations.

Contact Susana

Susana Hite

Customer Acquisition Manager, Kongsberg Digital
susana.hite@kongsbergdigital.com

Join our Customer Acquisition Manager Susana Hite as she dives into the specific problems that downstream operators encounter – and stay tuned for the Part II blog and our upcoming webinar series for Downstream where you can learn more about how digital twins address these operational challenges.

Before we dive in, here’s a bit of background information about me. I have been in the Oil and Gas industry for over 30 years, starting in the Process Automation space, and now the digitalization space. I witnessed the evolution from pneumatics [3-15 PSIG signals] to conversion to 4-20 milliamps, to the overlaying of a digital signal over the 4-20 ma wire on SMART™ transmitters, which eventually led to the transformative Fieldbus™ technology. Additionally, I witnessed the SAT-IntelaTrac™ wave 25 years ago, and the automation of manual field technician workflows to what we call today “the connected worker”.

All the preceding technologies have delivered measurable and impactful value to our customers, contributing to improved reliability, operational excellence, and safety. However, they have also brought forth a tsunami of data, and although valuable, this data still required manual efforts for ready access, validation, actualization and contextualization.

So fast forward to the last 10 years, and we are now in the IIoT (Industrial Internet of Things) era. I have to say I am in disbelief at how my peers and I are witnessing yet another disruptive technical wave: Digitalization, Digital Twins and Artificial Intelligence.

It’s obvious to me that Digital Twin is a game-changer for downstream Asset Performance Management (APM) and Reliability. How did I come to this conclusion? Well, it starts with the experiences that I’ve had over the years working with customers both in Downstream and Upstream. I want to share those experiences with you, each of which highlights a specific operational challenge that I believe a digital twin could solve.

What is Asset Performance Management [APM]?

It’s a strategic approach to managing assets that companies or operational sites like refineries or petrochemical complexes use in their daily business operations. Enterprises rely on APM to optimize the performance of their most valuable assets including buildings, equipment, vehicles, software, and technology. In addition, APM captures critical data, aggregates and renders it in a contextualized manner and integrates analytics with the objective of improving the reliability and availability of physical assets.

What is Digital Twin?

A technology that helps improve reliability in an asset-intensive scenario by providing real-time data insights, predictive maintenance, and simulations or what-if scenarios for various systems or Systems of Records. In this way, the twin can greatly reduce downtime, improve operational efficiencies and performance, and so favourably impact financial results while helping to achieve sustainability objectives.

What about a dynamic Digital Twin, what’s that?

A dynamic Digital Twin is a virtual representation of a physical asset used to simulate, monitor, and analyze its performance in real-time. It helps optimize and improve efficiencies by providing insights into various functional areas such as Maintenance, Operations, inspections and resource utilization.


Impactful experiences from real use cases that highlight the major challenges in downstream operations

Pain point 1: The challenge of unscheduled shutdowns

While collaborating in a reliability initiative at a major refinery, I came to understand the many systems, applications, workflows, and human behaviours that affect Reliability. These included Distributed Control Systems [DCS], Emergency Shutdown systems [ESD], Alarm Management Systems [AMS], Operator Training Simulators [OTS], data insights from previous unplanned events [Historians], manual logging tasks/workflows [Operator Rounds], a plethora of dashboards from one-off applications - and the list goes on.

Based on this experience, I learned that it is safe to say refineries experience 2 -3 unscheduled shutdowns in a year, and these typically last somewhere between 2-5 days on average. One major cause for this was the customer’s inability to access actionable data or insights from the many siloed systems in use, and too many manual workflows impacted their ability to act in a timely manner.  

What if a digital twin could access contextualized and actionable data so the operators can make sense of it, and make informed decisions to avert an unscheduled shutdown?


Pain point 2: The challenge of leveraging insights to proactively plan and optimise operations

I became aware of a major international oil company’s (IOC) effort to optimise oil production rates at one of their major oil fields, requiring a secondary recovery process to meet production goals and quotas. In their zest to improve their weekly production plans and schedule, they built a structure and allocated costly and experienced resources to basically aggregate and contextualise field production data, using their expertise to analyse and determine the best course of action based on equipment and operational gaps.

The problem here? To build a credible and actionable weekly production plan/schedule, they needed to access operational and maintenance data that was not readily accessible and distributed throughout different systems for a very scattered production field. In addition, the data needed to be analysed and contextualized by experienced operators and maintenance managers. This company’s solution of building a new structure and relocating the experienced resources to that building was nothing more than a costly exercise with few benefits to operations.

What if a digital twin could remove large parts of this manual work by facilitating more autonomous aggregation and contextualisation of field production data – in a single, centralised location?


Pain point 3: The challenge of data accessibility

During the covid-19 pandemic, I received a call from a Technical Manager at a major refinery. He wanted to know if there was a solution to his very real problem: ‘I can’t access the data I need from home. How can I fix this?’

This is a common challenge in downstream, upstream, and actually all of the segments across the energy value chain. Data is distributed across multiple systems, and many of these systems are local to the refinery, along with the processes that govern how this data is accessed. It’s difficult to work from home when you can’t access the information you need to do your job.

What if a digital twin could make this data available in the cloud, allowing anyone to access asset information securely – from anywhere in the world?


Pain point 4: The problem of manual inspection planning and work packages

Paper-based documentation, coordination challenges, and a lack of real-time collaboration. When working with one customer, it became clear that manual inspection planning and work package development using clipboards and isometrics are cumbersome processes involving a series of manual and time-consuming steps. The effects are just as you would expect: major delays, inefficient inspections, an increase in operational risk and sub-optimal decision-making.

Critical inspection needs are often overlooked, and all these manual processes make it difficult to derive meaningful insights from inspection-related data. It also means that teams were working reactively, dealing with asset integrity issues as they arose.

What if a digital twin could introduce proactive and even predictive ways of working to optimize inspection routes, improve resource usage and streamline the development of inspection work packages for maximum efficiency?

The Solution

Curious to find out more about how a digital twin specifically solves these problems for downstream operators? Stay tuned for part two of Susana’s blog and make sure to sign up for our upcoming webinar series dedicated to the downstream segment. In the meantime, feel free to contact Susana with any questions or to continue the conversation.

Digital Twins for Asset Performance Management and Reliability Initiatives (Part 1)Digital Twins for Asset Performance Management and Reliability Initiatives (Part 1)

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