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Compression Facility Industrial Asset Monitoring Solution

 Compression Facility Industrial Asset Monitoring Solution - IoT ONE Case Study
Technology Category
  • Analytics & Modeling - Predictive Analytics
  • Functional Applications - Remote Monitoring & Control Systems
  • Sensors - Gas Sensors
  • Sensors - Level Sensors
Applicable Industries
  • Oil & Gas
Applicable Functions
  • Maintenance
Use Cases
  • Predictive Maintenance
The Challenge

After spending millions on an enhanced oil recovery (EOR) infrastructure, including CO2, compressors, pipelines, injection wellheads, and fluid separators, Chaparral began to see its long-term investment pay off as oil production increased. However, when a CO2 compressor fails, CO2 volumes to the pipeline plummet by 50% or more. The operator needed predictive intelligence to prevent such an event.

The Customer
Chaparral Energy
About The Customer
The Oklahoma City based independent has proven reserves of over 150 million barrels of crude oil equivalent and interests in over 3,000 producing wells. It operates primarily in mature oil and gas fields in Oklahoma, Kansas and the Permian Basin.
The Solution

Chaparral selected Veros ForeSight to provide an industrial asset monitoring solution. The project team selected twelve compressors and one pump to monitor in the Liberal, Kansas CO2 compression facility.

Data Collected
Asset Performance, Asset Utilization, CO2 consumption, Fault Detection, Oil Level
Operational Impact
  • [Process Optimization - Predictive Maintenance]
    Identify problems before they pose catastrophic threats
Quantitative Benefit
  • Savings of over $100,000 by avoiding unnecessary repairs.

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