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PREDICTIVE INFRASTRUCTURE INTELLIGENCE FOR OIL & GAS SYSTEMS

‘ACCURATELY FORECASTING FAILURES 3-6 MONTHS AHEAD OF LEADING INDICATORS’

Globally the oil and gas sectors are navigating a period of significant evolution. As market dynamics shift and new technological capabilities emerge, forward-thinking asset managers are presented with opportunities to enhance traditional workflow processes.

We are observing a trend where leading service companies are broadening their scope to provide integrated field-to-workflow solutions, and transforming the engineering and consulting landscape. This shift underscores the growing importance of proactive data-driven asset management.   

Our insights are driven by patented University of Florida (UF) methodology. They currently lead the world in addressing individual network challenges and protecting large disparate networks. The methodology overcomes the biggest challenges faced today, making sense of complex, noisy and disparate data. 

Our customers benefit from a greater understanding of their network, increased safety and governance with significant operational returns.

  • O&G Asset Managers June 2025 (2)

“Using the KartaSoft predictive insights, we protect our network with warnings where leaks are likely to occur. This has enabled us to reorder work orders, prevent network failures, and optimize our capital replacement program”

Senior Asset Manager
Energy Sector

Infrastructure Managers have a common challenge

Avoiding Failures While Investing Efficiently

Asset management within critical infrastructure has long relied on established methodologies for monitoring and maintenance. While current tools, including digital twins, provide valuable real-time and near-term insights, there is an opportunity to extend forecasting horizons significantly.  

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Overcomes Data Challenges

KartaSoft has been at the forefront of this shift

Consider the strategic advantage of identifying potential critical failures 3-6 months before leading indicators typically emerge. This capability represents a fundamental advance in asset stewardship. Globally, operators are evaluating the long-term efficiency and cost structures of large-scale IoT networks, leading to increased interest in targeted, predictive insight solutions that can be deployed efficiently, leveraging existing data resources.  

  

KartaSoft leverages University of Florida know-how, to be at the forefront of this shift, pioneering approaches that deliver substantial value without demanding wholesale changes to current data infrastructure or teams.  

KartaSoft Predictive Infrastructure Intelligence (PII)

Enhancing Asset Performance Through Advanced Foresight

KartaSoft PII, built upon patent-protected know-how from the University of Florida (UF), they lead the world in predictive insights. This enables us to offer a turnkey solution designed to address unique operational challenges. We empower asset managers with the foresight to:  

Extend Planning Horizon:

Accurately forecast potential failures 3-6 months ahead of leading indicators.  

  • Forecasting illustration

Optimize Resource Utilisation:

Utilize subsets of existing data, address complex challenges efficiently.

  • Optimize resource illustration

Strengthen Governance: 

Access proof points for optimized work order, a quantifiable reduction in network failures.  

  • Governance illustration

Navigate Industry Shifts:

Gain predictive clarity to maintain operational control, enhance critical assets' value.  

  • Navigate illustration

The trajectory of asset management in oil and gas is towards greater predictive capabilities.

KartaSoft is advancing this journey. 

Explore how KartaSoft can integrate with existing strategies to further enhance operational integrity and financial performance.

Empower decision-making with advanced predictive insights.

DOWNLOAD Application Brief Learn more about the overview and applications of KartaSoft technology  

Frequently Asked Questions

How has this methodology been adapted for different sectors? Tell us the story.

The methodology was developed and used to discover the first black hole collision, an event 1.6 billion light years away. In the vast scale of the galaxy, such collisions are considered rare phenomena. At the time, the very existence of black hole collisions was theoretical and unconfirmed. The breakthrough discovery proved that, even with minimal and complex data, it was possible to identify rare and elusive events. We adopted this groundbreaking know-how and adapted to solve real-world challenges here on Earth. The patent was written following our work with Sydney Water.

Today, our advanced methodology is used to predict rare failure events in critical infrastructure, including pipelines, power grids, and transport systems. These failures, though infrequent, can cause massive disruptions, economic losses, and threaten lives. By leveraging this technique, we identify subtle signals amidst vast, noisy data, preventing failures before they occur. The commercial approach was conjoined by Minderoo and the NSW Government in Australia and has seen global adoption across various industries, proving its value and scalability.

How KaraSoft support data science teams to solve challenges?

We continue to solve new challenges and support a rethink for IoT and advanced data analytics. One powerful example is predictive maintenance, where our methodology monitors equipment health, anticipate failures, and schedule maintenance proactively. This improves operational efficiency within critical infrastructure to track and predict demand, optimize, and reduce waste. 

Our know-how has a 10-year pedigree and is already overcoming long-standing bottlenecks to help organizations achieve a competitive edge.  

Is your organization thinking ahead?

As organizations invest in new technologies, they are discovering the challenges of data, and predicting rare events and failures in complex systems. This is where we come in.