Production Monitoring

Harness real-time process data to mine valuable business intelligence

Achieve higher production margins and consistent quality with fewer staff hours and less downtime.

Helping manufacturing excellence managers meet production goals

Collating and analyzing information from multiple data sources and visualization in a real-time graphical representation tool provides an effective and efficient way to manage assets and optimize production on a day-to-day basis within operational, environmental, and safety limits.

Use models of your most challenging processes to spot anomalies early

Use models of your most challenging processes to spot anomalies early

Our experienced engineering team incorporates measured data and combines it with physics and data models to accurately predict behavior and response to interventions.

Enable consistent plant performance across assets

Enable consistent plant performance across assets

Reduce operator errors and maintain real-time parameters within the operating envelope (OE) of each asset.

Confidently act on the highest priorities

Confidently act on the highest priorities

Automate data gathering and processing to relieve staff from routine manual chores, making time for mission critical tasks.

Ensure plant availability and reliability

Eliminate operator variability, increase efficiency, and improve production consistency by automating surveillance & monitoring of plant assets.


IPCOS Case Study

Leveraging Data-driven Exception Based Surveillance to Maximize Returns in Times of Low Oil Prices

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Leveraging Data-driven Exception Based Surveillance to Maximize Returns in Times of Low Oil Prices
Production Surveillance and Optimisation for Multizone Smart Wells with Data Driven models

Optimize production for higher margins

Maintain real-time parameters within the operating envelope in the face of fluctuating raw materials quality, formulation changes, and market demands.


IPCOS Case Study

Production Surveillance and Optimization for Multizone Smart Wells with Data Driven Models

Read the case

Reduce maintenance and downtimes

With proactive equipment monitoring, experience fewer unscheduled repairs, and increased runtimes.


IPCOS Case Study

Early Detection of Gas Well Formation Damage Water Breakthrough and Liquid Loading by Use of Surface Pressure Build-Up Data

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Early Detection of Gas Well Formation Damage Water Breakthrough and Liquid Loading by Use of Surface Pressure Build-Up Data

End-to-end value

1-3%

Lower downtime and fewer unscheduled repairs.

1-2 per year

Avoid costly unexpected shutdowns.

Other services

Alarm

Alarm Management

Benchmark your alarm situation and then develop an alarm management philosophy document tailored from best-practice templates with buy-in from process engineers, operators, and controls staff.

Soft sensing: Revamp of inferential models for distillation column

Soft Sensing

Models based on historical data convert measurements such as temperature, pressure and flow rate to predict variations in production qualities. Softsensor output are used in control to optimize production.

Discover how IPCOS can help you to achieve your goals

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