ELECTRIC SUBMERSIBLE PUMP ANALYTICS

ESP Asset Analytics

Lone Star’s MaxUp™ Energy provides Electric Submersible Pump (ESP) operators with a predictive and prescriptive analytics software to solve their common and persistent issues in real-time. Our ESP Asset Analytics helps operators:

Maximize ESP Uptime
Extend ESP Time to Failure
Minimize ESP Workover Time
Optimize Pumping Over Time
Increase Monitoring Efficiency
Minimize Solution CAPEX

MaxUp™ Energy’s ESP Asset Analytics monitors and evaluates all elements influencing ESP production and health, ranging from inbound power through outbound pressure/flow and all critical systems in between. The solution provides continuous evaluation of production efficiency and predictions of system, sub-system, and component-level failures. Additionally, the solution prescribes mitigating/preventative action(s) enabling effective operational adjustments to improve ESP productivity, extend time to failure, and mitigate high cost of workovers. Check out this CASE STUDY.

About MaxUp™ Energy's ESP Asset Analytics

MaxUp™ Energy’s ESP Analytics software pays for itself in days and generates significant ROI on virtually any ESP deployment. Our software requires no additional sensors or hardware and provides far greater visibility into your ESP.

Enables Comprehensive Action – Diagnoses, Predicts, & Prescribes Action on Up to 60 ESP Failure Modes
Ensures Rapid Onset Issues Are Identified – Evaluates as Frequently as Every 10 Seconds
Permits Planned Adjustment and Mitigation – The ESP Solution Can Make Predictions up to Months in Advance
Fast Time to Value – Once Data Integration Has Occurred an ESP Can Be Deployed in a Little as 1 Hour

Case In Point

The Issue:

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.

The Solution:

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 Results:

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