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Optimizing Production and Cutting Costs with Enalysis-Driven Compression Metrics

In this case study, Detechtion Technologies determined priority and ranking of units in need of maintenance by examining key variables for production KPIs and create level-sets to provide insights into long-term trend changes. 

 

The Mission: 

Quantify the effect of compressor preventative and corrective maintenance costs while better understanding the fleet’s performance and compressor flow rates to determine a cost metric that would inform their maintenance planning decisions effectively.

 

Background: 

This client is one of the largest producers in the Bakken US shale play. During the year of case study, this client held a 44% interest in gas gathering and processing and retained operational control of midstream business to support its upstream growth. The client added 69 active units to its Enalysis subscription over the course of 4 years.

 

The Solution: 

Enalysis calculations were used to determine priority and ranking of units in need of maintenance by examining cylinder flow rate, fuel gas/electricity consumption, cylinder capacity to fill in required variables for production KPI. Combined with the client’s maintenance costs and energy prices, the Production Cost Metric would provide a level set for all units to provide insight on long-term trend changes.

 

The Impact:

The client continues to leverage Enalysis and its calculations to determine a Production Cost Metric for each compressor that results in compression cost per MMSCFD to aid in decision making and forecasting. Enalysis will also be used to reduce the Production Cost Metric by reducing downtime with optimized maintenance and increasing production with compressor optimization.