Monitor and diagnose equipment, well, and reservoir problems with a service suited for all artificial lift systems.
Oilfield operations do not pause during the holiday period. ESPs continue to require frequency optimization, gas lock or pumpoff resolution, shutdowns, restarts, and interventions to prevent electrical load imbalances or vibrations. However, mobilizing technical experts to remote wellsites during peak travel seasons can create logistical difficulties and extra expense, delaying timely action, escalating risk, and even leading to deferred production. Several operators in North America were looking for a solution to these challenges.
Lift IQ service increases well efficiency and productivity through remote monitoring, control, and optimization of artificial lift systems—making operators’ data work for them. Sensors and motor controllers at the wellsites transmit data to Artificial Lift Surveillance Centers (ALSCs), where experienced engineers monitor alarms and alerts 24/7/365 from multiple fields. Data are transferred via satellite or extracted from existing SCADA systems. For North American operations, the ALSC is located in Houston.
The surveillance engineers analyze flow rates, motor temperatures, and other parameters to remedy issues, update pump regimes to match fluctuating conditions, and identify underperforming wells that could benefit from further pump optimization. These actions help maximize system run life and well uptime and reduce total cost of ownership over the life of the well.
Over an 8-day holiday season one year, ALSC engineers performed remote operations that eliminated 166 field trips across 518 wells. Over the same period the following year, the service monitored 847 wells and saved operators 344 field trips.
The interventions resolved 58 critical events in the first year and 85 in the second, where lack of prompt action would have resulted in equipment damage or failure. Speed adjustments were also performed remotely to maximize the potential of multiple wells. The operators saved an estimated USD 55,000 in the first year and USD 80,000 the subsequent year.