The use of a normalized power index for electric submersible pump optimization identifies power savings opportunities on unconventional wells
Download PDFUnconventional
Efficiently evaluating power usage and identifying candidates for optimization.
North Dakota
For unconventional wells, rapid post-fracture decline rates lead to a drop-off in ESP efficiency, which can negatively affect power usage. Current optimization methods are inefficient, requiring field personnel to drive millions of miles annually to remote wells.
Utilized a normalized power index to develop a quarterly KPI used by engineers and powered by the Summit Knowledge® digital ecosystem, Spyglass®, and the Intelevate® digital platform to propose efficient optimization actions.
A North Dakota operator sought a practical method to evaluate power consumption of 118 ESP and identify opportunities to reduce electricity costs. The Intelevate® platform team applied a normalized power index to assess performance and identify units for further evaluation
Electricity represents a significant operating cost for ESP systems. As unconventional wells experience rapid post-fracture production decline, ESPs can move outside efficient operating ranges. Field personnel travel to remote wells to collect electrical measurements and assess operating conditions. This approach requires substantial field time and can delay identification of inefficient ESP operation.
The team utilized a normalized power index to assess ESP system performance. The calculation uses system power, flow rate, and total dynamic head to compare power consumption among ESP systems.
The team evaluated the field data and used the Summit Knowledge® digital ecosystem, Spyglass® pump sizing software, and Intelevate® platform to identify ESP units for further analysis. This method gave the operator a structured basis to prioritize field evaluations and potential optimization actions.
The analysis found that 76% of evaluated units operated within recommended power consumption limits, 4% fell below average, and 20% showed above-average power consumption. The assessment identified ESP units for further onsite analysis and provided recommended actions, saving the operator an estimated US$125,000 in annual electricity cost.
ESPs needing optimization
Estimated electrical cost savings
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