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It comes as little surprise that there is still an opportunity to improve when it comes to challenging the status quo of the Energy industry. In addition to top-down pressure on commodity pricing as seen through the last cycle, along with margin compression and related ecosystem challenges, whether you are an operator or service company, we also have to govern macro elements such as moving toward “net zero emissions” and lowered overall consumption. Operators and partners find themselves challenged.
Some of the challenges observed in the industry are:
There are material opportunities, still. Improvement potential ranging from 30% on cost and time to production uplift and cost-takeout in operations prevails but provided the appropriate approach.
The relevance of digital is at an all-time high in 2020, where it has been called upon both for addressing the remote worker scenario imposed by COVID-19, and as a measure to understand how to handle demand destruction and rapid margin compression.
In addition, the green narrative is becoming more pronounced.
Companies seek to
How do we collectively address this as an industry? We believe it begins with challenging the traditional way of thinking.
It is our observation that, at the fundamental level, orchestration of how we go about our business in oil and gas is very much based on existing conventions:
We are in essence describing a push of methodologies and approaches based on convention, rather than actual needs. As a result, workloads remain high and efficiency gains are inherently limited.
Kognitwin Energy – Unify data, knowledge and people. Enable the best decision every time. Learn more about our solution
Inherently, we believe that needs should dictate the surrounding ecosystem of services, people and methodologies. In terms of solutions, we consider the digital twin as the driver to determine not only the current state of a facility but also to determine its needs.
Digital twins’ possibilities include, for example:
All of this contributes to a proactive model, that reduces the workload and thus reduces costs, as well as the need for supply chain and logistics activities, thereby reducing the carbon footprint.
In essence, the digital twin becomes a shared vehicle to enable operational flexibility and efficiency.
Beyond being a virtual replica of your industrial facility, Kognitwin Energy, our dynamic digital twin delivers a rich framework for advanced digitalization and analytics, including a range of solutions that can be customized to attend your needs. Learn more
Most operators find themselves with a host of business systems across the IT and OT categories that deliver valuable insights; however, there is little to no holistic cross-integration. As a first step, we find that connecting information as seen here, including industrial 3D models, engineering documentation, sensor data, ERP information and other transactional data, is vital. In addition, more advanced twins take it a step further in providing contextualization, simulation and prediction possibilities.
As data is integrated and contextualized, operators can take advantage of new possibilities, like:
The combination of all possibilities mentioned above create value to the pertinent stakeholders, enabling:
rom our experience, unlocking value and creating organizational momentum often begins with enabling cross-functional teams in accessing information and facilitating collaboration.
The sentiment in the market is that we by doing so can unlock up to 70% reduction in time spent searching for information and staging information for decision making. This sentiment comes from roles across organizations, ranging from engineering to management, with true belief in the potential. Potentially even more importantly, creating initial momentum drives organizations to become true owners of their digital initiatives, making companies inherently more digital by design. This is key.
The implementation of scaling digital twins can also provide relevant organizational impact, such as:
This is a journey, but if approached correctly, operators can achieve substantial progress and drive transformation. Companies find themselves having different ambition levels. While some aim for autonomy, some pragmatically focus on remote operations and cost-efficiency. We can observe consistency across the journey required, and we see two parallel tracks:
This two-prong approach is of course dependent. You must have an operating model that supports the vision and the technology must support the operating model.
With this in mind, we would like to ask the energy industry community: are you ready to disrupt the old way of thinking and start creating value through more efficient solutions? Want to pick up the old tools, or look to the future when you consider how you operate your assets?
Kongsberg Digital has leveraged its position within dynamic production simulation to build Kognitwin® Energy, a dynamic digital twin that enable operators to achieve their overarching goals, from decreasing carbon footprint to optimising production and condition monitoring.
Beyond creating a virtual replica of industrial facilities, Kognitwin Energy delivers a rich framework for advanced analytics, including a range of applications, like Kognitwin Unify – the exclusive data contextualization engine – and the Hybrid ML technology, that can be customised to meet the operator’s needs.
Haavard Oestensen is Head of Growth in the Digital Energy team at Kongsberg Digital. Based in Houston (USA), he has 15 years of experience in the Oil & Gas industry and extensive consulting experience covering the areas of production, commercial management and global hydrocarbon management system deployments.