In this customer success story, learn how MOL recently added Aspen Mtell® software from the AspenONE® Asset Performance Management (APM) software suite to its portfolio of AspenTech solutions to drive efficiencies across plant operations and increase sustainability. This made a major contribution to operators in accelerating digitalization plans. Aspen Mtell has become an integral part of MOL’s strategic digitalization plan, which includes initiatives to extract increased value from its assets and increase overall plant availability to 96+ percent.

In this case study, discover how OCP Ecuador used prescriptive maintenance to accurately identify asset failure and reduce maintenance costs. With three times the initial investment returned in less than five months, OCP Ecuador is planning to scale Aspen Mtell® to protect 13 additional assets in the near future - and to scale across the enterprise in the coming years.

A major transportation company responsible for delivering customer goods on time, safely and reliably, was plagued by catastrophic failures of locomotives that had gone undetected by its current reliability techniques. Using Aspen Mtell to examine data from engine lube oil samples, a leading U.S. railway was able to save millions of dollars.

As part of an effort to drive reliability in its refinery operations, Saras turned to Aspen Mtell® prescriptive maintenance to improve equipment uptime and decrease maintenance costs.

Read how this LNG facility used Aspen Mtell prescriptive maintenance to provide up to 61 days advance notice of catastrophic compressor failures, preventing an economic loss of more than $40M USD per occurrence. Quick to implement and readily scalable, the solution provided key insights into the root cause of the failures.

A specialty plastics plant needed a solution to reduce downtime on a problematic hypercompressor in their LDPE production process.

Aspen Mtell provided a nine-day advance warning of imminent kiln overheating, allowing the plant to change operating conditions and avoid an operational shutdown. Download this case study to learn more.

In this case study, discover how Sardeolica used prescriptive maintenance to achieve maximum value and expects to reduce maintenance costs up to 10 percent per year.

When this large energy company launched its digital transformation initiative, it turned to Aspen Mtell® to execute an online predictive maintenance pilot on a hydrogen compressor.

Lea cómo esta compañía minera utilizó Aspen Mtell para predecir dos posibles fallas cuando se implementó en 12 activos durante un breve piloto en línea. Permitiendo así, un tiempo de inactividad planificado de equipos críticos, ahorrando dinero por cortes inesperados.