Pipeline infrastructure has long been the backbone of the energy industry—quietly moving millions of barrels of oil and gas across vast distances. But today, the way we manage these networks is under pressure. Aging assets, rising environmental expectations, and the sheer scale of operations have made traditional monitoring methods too slow, too reactive, and far too risky.
Unexpected leaks and corrosion events can halt production, damage ecosystems, and trigger costly fines. Yet in many cases, these failures could have been predicted—if only the right data had been available at the right time.
This is where Pipeline Analytics & Leak Detection as a Service comes in. By combining operational data with machine learning (ML), real-time dashboards, and predictive analytics, pipeline operators can shift from reactive inspections to proactive integrity management. The goal is no longer just detecting leaks—it’s preventing them.
And that’s the thinking behind the Cherrywork® Pipeline Corrosion and Leak Detection application—part of a broader suite of AI-powered Maintenance Solutions that transform how integrity teams monitor, maintain, and extend the life of their assets.
Most pipeline integrity teams rely on a mix of scheduled inspections, historical logs, and fragmented sensor data. Even when automated alerts exist, they often lack context—leaving engineers unsure whether a pressure drop signals routine wear or a high-risk issue.
As networks expand and environmental scrutiny grows, this approach simply doesn’t scale. Operators need continuous visibility, faster issue detection, and tools to make confident decisions without waiting for something to go wrong.
That’s what Cherrywork’s solution is designed to address—by embedding Predictive Maintenance Software into day-to-day decision making.
The Cherrywork Pipeline Corrosion and Leak Detection application offers an integrated view of pipeline health across the entire asset lifecycle. Built for the Oil & Gas industry and powered by SAP Business Technology Platform (BTP) and SAP HANA, the application supports integrity teams with tools to track operational parameters, forecast failure risk, and optimize maintenance planning.
Here’s how it works—and what sets it apart from conventional maintenance automation tools.
Instead of jumping between systems or spreadsheets, engineers can monitor the entire pipeline network—including well pads, facilities, and pipeline segments—from one place. The application pulls in both real-time and historical data to provide context-rich insights.
This unified view helps teams see where problems have occurred, where stress is building, and which areas need attention—without relying solely on field reports.
At the heart of the solution is a set of ML-driven predictive models that analyze pipeline parameters—pressure, flow, temperature, and more—to flag potential leaks and corrosion.
These models learn from past incidents and current conditions, helping identify patterns that manual inspections might miss. With this insight, integrity teams can focus on high-risk areas before issues escalate.
This is where AI-powered Maintenance Solutions really deliver value: by enabling more precise forecasting, lower failure rates, and smarter allocation of field resources.
When it comes to integrity planning, guesswork is costly. The application supports smarter inspection and replacement decisions by helping teams understand which assets are nearing failure, which can be deferred, and how best to schedule downtime.
This leads to a measurable reduction in both OPEX (operating expenditure) and CAPEX (capital expenditure) by avoiding unnecessary repairs and extending the life of well-functioning assets.
This data-driven planning capability is part of a broader shift toward maintenance automation tools that reduce waste and maximize technician productivity.
This isn’t just an integrity tool—it’s also a production planning asset. With visibility into how much of the pipeline capacity is being used, planners can align throughput with the operational status of each segment.
This means teams can not only respond faster to issues but also adapt production strategies based on the condition of key infrastructure.
When a deeper dive is needed, the solution provides single pipeline overviews. These dashboards allow teams to examine individual segments, track inspection histories, and monitor current conditions in real time.
Having this level of detail at your fingertips shortens the time it takes to respond to alerts—and ensures better decisions, faster.
Good data isn’t helpful unless it’s easy to understand. That’s why the application includes interactive visualisations that bring pipeline health to life—highlighting hotspots, trend shifts, and potential failure zones in a format anyone can interpret.
This improves team collaboration, reduces confusion, and helps ensure that action is taken when and where it’s needed.
Better integrity management doesn’t just protect assets—it also protects the environment. By preventing leaks and reducing corrosion-related failures, the application contributes to stronger ESG scores and a lower environmental footprint.
It supports companies in meeting environmental goals and reporting more transparently on asset health and sustainability outcomes.
Predictive, data-driven asset management has proven results. By bringing operational data, ML, and visualization into a single workflow, companies using this approach have seen:
It’s a compelling demonstration of how Predictive Maintenance Software can reduce risk, optimize performance, and help organisations stay ahead of compliance requirements.
The Cherrywork solution integrates seamlessly into existing environments through SAP Maintenance Integration, making it easy to deploy in operations that already run on S/4HANA or SAP ERP.
This tight integration supports cleaner data workflows, consistent reporting, and easier user adoption—critical for teams that want to modernize without disruption.
As part of the broader Cherrywork Industry 4.0 portfolio, it complements a full range of intelligent maintenance and operations use cases, from digital asset tracking to condition-based monitoring.
Pipeline integrity management is no longer just about keeping assets running. It’s about using data to make faster, smarter decisions that reduce risk and support long-term sustainability goals.
With Pipeline Analytics & Leak Detection, powered by Cherrywork and SAP, Oil & Gas operators can make that shift. They gain the tools to predict failure before it happens, align operations with production goals, and improve ESG outcomes—all within a system that works with the technology they already use.
To learn how Cherrywork supports intelligent maintenance across pipeline, production, and facility operations, book a demo with us.
Cherrywork Industry 4.0 suite of digital applications have digital twins that enable organizations to optimize asset operations by providing real-time insights, predictive capabilities, and simulation capabilities. They help improve asset performance, reduce maintenance costs, enhance safety, and support data-driven decision-making throughout the asset lifecycle
Would you like to do the same for your organization? If yes, then reach out to us at talk2us@cherrywork.com
