Corva Identifies $267K+ in Hidden Annual Costs from Inefficient Slip-To-Slip Operations

A leading operator in Latin America, relying on outdated legacy software, assumed one of its rigs was consistently meeting slip-to-slip (S2S) performance targets. However, Corva’s advanced hookload analytics revealed the rig was averaging 3.7 minutes per connection—well above the 2-minute threshold. By detecting the true start of each connection 1.5 minutes earlier than competitor tools, Corva uncovered hidden inefficiencies and enabled targeted workflow improvements with the service company.

Using high-resolution hookload data and proprietary S2S detection algorithms, Corva provided a more precise view of connection timing and downhole behavior. Corva’s advanced analytics automatically identified early indicators of flat time inefficiency, enabling the operator to validate true S2S intervals, benchmark performance with greater accuracy, and collaborate with service partners to adjust procedures in real time.

By identifying and eliminating hidden inefficiencies, Corva helped the operator achieve significant operational and financial gains. The improved S2S process saved an average of 1.5 minutes per connection across 221 connections per well, spanning 16 wells annually. These optimizations translated to $267,600 in annual savings from reduced flat time. Beyond cost reduction, Corva enabled more accurate performance oversight, supported real-time collaboration with the contracted service company, and established a new benchmark for connection efficiency across the rig fleet.