An artificial lift optimization firm, working for a large international oil and gas exploration and production company, was experiencing significant difficulties keeping their electric submersible pumps (ESPs) in service in the Bakken shale formation due to harsh operational conditions. This scenario led to low ESP productivity, premature ESP failures, and a high cost of replacement and workover due to last minute planning.
Lone Star applied its predictive and prescriptive ESP analytics software to the problem. MaxUp Energy proved capable of predicting when loss of production would occur due to environmental conditions, as well as component and system level failures in advance of occurrence. This enabled operational adjustments based on root cause prior to expensive production loss and ESP workovers.
The Operational Mode and virtual sensors allowed the client to monitor aspects of the pump that were not previously available. In turn we were able to help the client deliver more product and bring in more revenue. The analytics enabled an improvement in annual BOE production on wells deployed of +/- 7.5% recovering an incremental $684,000 annually (@ $25 / barrel oil) per 1,000 BOE produced per day. Extended ESP mean time between failures by months