How digital backbones are solving LNG’s energy trilemma

J. MCMULLEN, AVEVA, Hillaborough, New Hampshire (U.S.) 

Global LNG demand is set to increase by 60% by 2040, growing from ~400 MMtpy to ~700 MMtpy, set against a backdrop of Russian sanctions and rising global energy demand.1 

Spending on LNG facilities is gaining momentum as new projects in the U.S., Qatar, Canada and elsewhere prepare to go online. The period from 2026–2028 is likely to see some of the largest ever annual expansions in LNG capacity. 

For example, projects under construction in the U.S. (adding roughly 95 MMtpy of export capacity) promise to nearly double the country’s export capacity.2  

However, while these developments present unprecedented global opportunity for the sector, scaling at this pace intensifies existing challenges. More than ever, LNG operators are grappling with the energy trilemma: the need to secure supply, lower emissions and tighten costs. 

Operators face rising volatility, complex supply chains and capital-intensive projects that take years to deliver, all within an ultra-competitive landscape. 

Pressure points. The numbers in the LNG sector have long reflected the high stakes of the industry. Modern liquefaction plants can cost anywhere between $30 B and 40 B to build and take 3 yrs–5 yrs to complete. 

Meanwhile, contracts tied to crude pricing amplify uncertainty. Operational risks are also a concern—a single compressor failure can cost millions of dollars in lost revenue. Additionally, operators face rising pressure from governments, regulators and investors to prove decarbonization progress with verifiable data. 

Sounds tricky? That’s because it is. However, this is where the LNG digital backbone comes in—a framework that connects every stage of the LNG value chain and embeds improvement into every decision. 

While capital expenditure and access to feed gas remain important, competitive edge is now defined by how fast an operator can activate, structure and scale these connected systems across the project lifecycle. 

Why the digital backbone matters. Every terminal or vessel adds unique layers of complexity, yet many operators still rebuild processes, models and dashboards from scratch. Even where digital systems exist, optimization is often deferred to the final stages of commissioning—when it is most costly and least effective. 

The LNG leaders that win out will not just utilize digital systems. They will have a modular, connected backbone that makes every layer, from data capture to simulation, a lever for improvement. 

Three forces are driving this shift:  

  1. Time-to-first-gas pressure: Billion-dollar megaprojects cannot afford late-stage optimization. Early digital readiness accelerates engineering, improves quality and reduces commissioning delays. 
  2. Market volatility: Operators that can model scenarios, predict failures and optimize energy use in real time are best positioned to manage demand swings and pricing instability. 
  3. Decarbonization: Investors expect transparent, trusted emissions reporting. A unified digital infrastructure can deliver the high-level data the market requires. 

What the digital backbone looks like. A digital backbone runs right through the entire LNG value chain, unifying the systems and data that facilitate daily operations. It brings together data management infrastructure with reusable asset framework (AF) templates, integrates engineering and operations data into a single source of truth, enables digital twin readiness across assets and processes, and delivers scalable, context-rich visualization for every role. 

When combined, these components generate a repeatable, highly trustworthy flow of information that improves decision-making across the asset lifecycle.  

The digital backbone flow is structured in the following way:  

  1. Capture: Collect live, trusted operational data from ships, terminals and plants. 
  2. Structure: Organize it into reusable templates, so teams are not starting from scratch every time. 
  3. Context: Apply limits, labels and live conditions to create meaningful data. 
  4. Insight: Turn numbers into diagnostics and improvement opportunities. 
  5. Visualize: Role-based dashboards to make data accessible. 
  6. Simulate: Test scenarios with digital twins before acting. 

Case studies: What effectiveness looks like. Louisiana (U.S.)-based Cameron LNG operates a world-scale export facility with three trains delivering a nominal capacity of 13.5 MMtpy. From day one, the team committed to a cloud-first, data-driven approach, connecting people, processes and plant data in real time. 

Cameron LNG integrated data management infrastructure, asset frameworks and wireless sensors into its system to democratize 70,000 live plant tags and 5,000 AF assets across operations. It also expanded visibility with wireless sensors. Using a low-power, wide area network (LoRaWAN) and citizens broadband radio service (CBRS) high-speed private LTE, Cameron added low-cost, electrically safe field sensors for temperature, vibration and position, feeding directly into analytics and environmental reporting. 

The organization has also connected its workers to mobile devices that capture non-networked instrument data and sync directly from the field. Direct field data entry reduces roundtrips to the control room, speeds decision-making and improves maintenance handover. 

Today, Cameron hosts a scalable digital platform ready for future artificial intelligence (AI) and analytics expansion, gaining faster access to operational data, reducing downtime and radically boosting operational efficiency and profitability.  

Another organization to benefit from a digital backbone is Nigeria LNG, which produces 22 MMtpy of LNG—roughly 10% of the world’s LNG consumption. By creating a digital twin of its liquefaction trains, Nigeria LNG has empowered its field operators and executives to make better, faster decisions, increasing production output and reducing plant losses by 50%. 

What fast operators do differently. Fast operators:  

  • Structure data and templates before building plants 
  • Standardize dashboards, alarms and asset models across every train 
  • Ensure engineering governance and operations insights come from the same digital backbone 
  • Build for genuine AI-readiness. 

The digital system is the first LNG players should build. LNG players should treat the digital backbone as core infrastructure—on par with physical infrastructure. The evidence shows that the earlier an organization implements a digital backbone, the greater the long-term gains: lower rework, faster commissioning, safer operations, reduced emissions and more resilient performance. 

The energy trilemma will reward operators that can secure supply in a fragmented global market, lower emissions with verifiable data and control costs without compromising safety. A connected, repeatable and scalable approach is the recipe for LNG success. 

LITERATURE CITED 

1 Shell, “Asian economic growth expected to drive 60% rise in LNG demand to 2040,” February 25, 2025, online: https://www.shell.com/news-and-insights/newsroom/news-and-media-releases/2025/lng-demand-expected-rise-by-sixty-percent-by-2040.html  

2 International Energy Agency, “World Energy Investment 2025,” June 2025, online: https://www.iea.org/reports/world-energy-investment-2025/executive-summary  

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