By The Nation
Aspen Mtell is low-touch machine learning software that says it delivers early warnings of degradation and impending asset failures.
Autonomous agents in the Aspen Mtell software automatically detect patterns in data, while prescribing actions to avoid problems or reduce adverse consequences, the firm said.
Filipe Soares-Pinto, vice president at AspenTech, said IRPC selected Aspen Mtell software to ensure that critical equipment is available on demand, helping the company achieve operational excellence.
With increasing market complexity, petrochemical companies will compete in the global economy by adopting the company’s prescriptive maintenance software, he added.
IRPC said it operates a fully integrated petrochemical complex to support businesses such as a deep-sea port, tank farm and power plant.
The firm selected Aspen Mtell software to increase plant reliability and reduce maintenance cost. Other factors driving the decision include ease of deployment; accurate, early detection of asset failures; prevention of false alarms; and the ability to scale across the industrial zone.
With the deployment of Aspen Mtell software, IRPC is adopting Industry 4.0 predictive and prescriptive maintenance best practices, the company said.
Built around three elements –growth, digital and people, IRPC’s 4.0 strategy is expected to transform the company into a petrochemical leader in digital integration and innovation by 2020, it said.