EcuadorEnergy and utilities2021 – ongoing

OCP Ecuador

Aspen Mtell predictive maintenance for pipeline equipment

AspenTech reported 25% lower annual maintenance costs at OCP Ecuador

WorkingVendor case studyVendor ↗

Problem

OCP Ecuador needed to prevent equipment failures along a remote crude-oil pipeline. Routine maintenance could miss faults between overhauls.

Approach

OCP Ecuador deployed Aspen Mtell to monitor process and mechanical data. Machine learning detected departures from normal equipment behavior. Reliability teams reviewed alerts and inspected equipment before failures developed.

Results

25%reduction in annual maintenance costs, according to AspenTechVendor case study[1]

19,200 hoursengine overhaul interval, extended from 16,000 hours, according to AspenTechVendor case study[1]

3Xreturn on initial investment in less than five months, according to AspenTechVendor case study[1]

Takeaway

The maintenance workflow depended on staff validating alerts and arranging interventions.

Sources

OCP Ecuador Uses Prescriptive Maintenance to Accurately Identify Asset Failure and Reduce Maintenance Costs
AspenTech2022Vendor publication

Source summaries

[1]AspenTech2022

AspenTech described equipment alerts followed by inspections at OCP Ecuador. It reported reduced maintenance costs, longer overhaul intervals and a 3X return on initial investment in less than five months.

Full details are in the original sources.

Added 1 Nov 2026 · Updated 1 Nov 2026