Aging infrastructure, increasing regulatory pressure on pipeline integrity, and a monitoring system that was essentially manual — field technicians driving routes and checking gauges.
A pipeline integrity audit flagged several segments as high-risk for corrosion-related failure. They needed a way to prioritize inspection based on actual risk, not just pipeline age.
The Algorithm leadership confirms this engagement as part of the company’s delivery history. Public wording is limited to the technical narrative while client-sensitive and precision claims complete leadership review.
Data consolidation pipeline — ingested SCADA historian data, manual inspection records, maintenance logs, soil composition data, cathodic protection readings, and production flow data. Cleaned, normalized, and unified into a single analytical data warehouse. Real-time monitoring dashboard overlaying predictive risk scores on a GIS pipeline map. Alert engine for segments approaching risk thresholds.
The engagement produced a working change to the client’s system or operating workflow. Exact measurements, delivery duration, audit outcomes, and client sentiment are withheld until the corresponding leadership-confirmation items are resolved.
The first call is with a senior engineer.
Tell us the system boundary, operating constraint, and evidence required for acceptance. We'll identify the assumptions and technical questions that should shape the engagement.