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Oil and gas operators must evaluate vast numbers of pipeline corrosion indications detected by In-Line Inspection or smart pigging technology. This case study details how BKOAI collaborated to build automated fitness-for-service assessment tools utilizing ASME B31G and DNV-RP-F101 standards. The solution processed over ninety percent of incoming indications with minimal engineering hours, allowing the operator to prioritize critical remediation efforts quickly. Furthermore, the tool integrates real-time field measurements to dynamically update safe pipeline inspection intervals.
Oil and gas pipeline networks are routinely monitored using sophisticated In-Line Inspection or smart pigging technology to detect localized corrosion and anomalies. While these inspections generate vital safety data, they also produce hundreds of individual defect indications. Operators historically struggled to manually analyze this high volume of data to determine fitness-for-service compliance and schedule next-inspection intervals. The manual engineering effort required to screen every indication was unsustainable, resulting in delayed maintenance decisions and inefficient resource allocation across the network.
To streamline this process, the engineering team collaborated to build automated screening tools aligned with ASME B31G and DNV-RP-F101 industry standards. These applications ingest raw ILI inspection reports to conduct rapid first-pass fitness-for-service assessments tailored to specific pipeline designs and operating loads. Additionally, the software accounts for inherent tool measurement errors. By automatically filtering out low-risk indications, the solution successfully addresses over ninety percent of anomalies, highlighting only the most critical defects for detailed human engineering review.
The platform also introduced an innovative digital connection between back-office engineering and field operations. When field crews excavate and daylight pipeline segments, they enter actual, in-trench physical measurements directly into the application. The system immediately recalibrates the initial ILI assessments to provide updated inspection intervals in real-time. This quick feedback loop resolves measurement uncertainty directly on-site, ensures high safety margins, and empowers maintenance teams to make confident remediation decisions, ultimately optimizing the operator's physical repair budget.