α-phe Anomaly

A modern and comprehensive cloud based Asset Integrity Management System (AIMS) platform that can be deployed with optimum efficiency for anomaly management.

The main objective of an anomaly management system is to identify threats and track anomalies throughout their life cycle, from the point they are discovered, managing all repair and mitigation tasks, to final close out on any asset and component type. The anomaly management modules cover upstream, downstream and mid-stream assets, and covers different equipment groups,

  • Static Equipment (Piping, Pressure Vessels, Columns, Heat Exchangers, Safety Valves etc.)
  • Rotating Equipment’s
  • Structures (Offshore topside & subsea and onshore structures)
  • Pipelines (Onshore & Offshore)

Value Proposition

  • Central repository anomaly management, analysis and reporting
  • Enabled standardization of anomaly data input from identification to closeout
  • Transparency and Visibility of all anomalies on multiple assets from dashboard
  • Track for anomalies with Temporary Repair, until close out
  • Configurable workflow management
  • Improved condition management of assets
  • Filter the records with a range of search parameters
  • Apply remedial and mitigation tasks
  • Track & trace progress by task type, assigned action party and due dates
  • Anomaly management system can be implemented rapidly.
  • Software is very intuitive and requires minimum training
  • All the fields in the anomaly screens are configurable, fully dynamic.
  • Readily adopted, accepted and relied upon by personnel at all levels and job roles.
  • No administration time required and upkeep of anomaly information
  • Easily can generate work packages from the anomaly register
  • Average 40% time saving plus efficiencies and cost reduction
  • Instant access to your information: any time, any where
  • Runs on any browser or tablet with an internet connection
  • No local software or dedicated hardware to install or maintain
  • Cost reduction through your increased knowledge efficiency