By clicking “Accept”, you agree to the storing of cookies on your device to enhance site navigation, analyze site usage, and assist in our marketing efforts. View our Cookie Policy and Privacy Policy for more information.
PreferencesDenyAccept
HomeWhitepapers
Value Creation from Advanced Analytics in the LNG Industry

Value Creation from Advanced Analytics in the LNG Industry

Learn more about opportunities for asset owners in the LNG industry in our whitepaper on applying advanced analytics to the data emitted by LNG equipment.

The global energy crisis has made LNG more valuable than ever. As in most industries, the equipment to refine and process this valuable commodity has inherent limitations. By applying advanced analytical models to data harvested from key equipment types in the LNG industry, we have enabled our clients to create considerable value by increasing equipment efficiency and moving emergency maintenance to condition-based maintenance.

With LNG prices at historical peaks and the energy security of a large part of the world depending on maximum performance of LNG supply chains, there's not been a better time to harvest the value from the data of LNG-handling assets.

In this whitepaper, you will learn more about the opportunities advanced analytics offer for equipment along the LNG value chain and how to get started.

Here Is A List Of The Content You Will Get In This Whitepaper:

  • Summary
  • A young industry still evolving
  • Conserving value and the environment by perfecting BOG handling
  • The limitations of embedded control systems and the role of complementary analytics
  • Example: Increasing the efficiency of reliquefaction systems
  • Example: Preventing failures of Gas Combustion units on LNG carriers
  • Conclusion - there's much money hidden in the data

‍

‍

‍

More Whitepapers

Show all whitepapers

Revolutionizing heavy asset maintenance: The power of LLM-based virtual assistants

Download this whitepaper to learn how Large Language Models (LLMs) can power 'virtual maintenance assistants' for enhanced equipment issue diagnosis and root-cause analysis.

Arundo CarbonPath - Scope 3 emissions management for shipping

From regulation to competitive advantage: Turn Scope 3 compliance into a business value, and harness the power of AI to reduce supplier emissions at source.

Minimize energy costs with the Energy Optimizer

As recent geopolitical events and the transition away from fossil and nuclear fuels have led to higher and increasingly volatile energy prices in Europe, reducing energy costs is now a top priority for all affected industrial companies.

The Story of Macgregor Onwatch Scout

MacGregor has the strategic objective to work across the full product lifecycle to offer its customers a lower total cost of ownership (TCO).

Edge Analytics and the Industrial Internet Of Things

Learn more about how you can overcome the challenges you might face doing edge computing when your equipment is in remote or even moving locations.

Predictive Equipment Maintenance - Anomaly Detection for Industrial Operations

Download this whitepaper to learn how you can effectively start an equipment analytics program by bypassing common challenges to true predictive analytics.

Smart Iron: Industrial OEMs and the Internet Of Things

OEMs supplying heavy industries must innovate and adapt to IoT. Check out which capabilities you need and get an overview of what you need to do.

The Executive Guide To the Industrial Internet of Things

Learn about the IIoT, how it will disrupt traditional thinking, why it matters and which implementing challenges you might experience.