Fluid End End Maintenance & Data Services

Industry First

Fluid End Maintenance & Data Services

Salt and Light Energy Equipment has introduced a first-of-its-kind data tracking system for hydraulic fracturing companies. With this service, SNLEE will maintain your frac pumps in the field and collect data that will be reported through custom dashboards to give you insights into inventory, repairs, failures and much more. This allows SNLEE to reliably inspect, repair and maintain the fluid ends so that the frac crew can focus on operations all while saving you up to $1MM by reducing failures, downtime and consumables used.

Our Process

Expert Maintenance meets the 21st Century

Field Crews Deployment

Expert fluid end maintenance crews take complete accountability of operations. Daily reporting of data ensures efficient data management.

Field Data Processing

The field data is preprocessed, cleaned, formatted and uploaded to the database. Key metrics are identified and an initial data framework created.

Dashboard Development

A fully customizable dashboard is created in consultancy with customers in order to display key metrics in easy to digest visuals.

Data Analysis & Recommendations

Based on the analysis, insights are provided to the customer and to SNLEE engineering with potential suggestions to help withfield operations.

Case Study #1

$2.6MM+ in Fluid End Savings

SNLEE provided fluid end maintenance services and data analytics to a customer in the Permian Basin who was expressing issues failing an excessive amount of fluid ends and needed help identifying and correcting the issues without impeding on operational efficiency. After deploying a full-time fluid end maintenance team on location, the customer experienced a decrease of 43% in fluid end failures after only the first month. In total, SNLEE analytics found the monthly failures were reduced 43%, 58% and 75% in the three months following deployment of full time maintenance crews on location when compared the failure count the month prior when SNLEE was not present. The study further showed a cost savings of over $2.5MM over the spam of three months.

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