Queensland, Australia

CSG wells,
privately-owned

To avoid production downtime and associated costs, CSG well operators can use SentientSystem for advanced predictive analytics to accurately predict pump failures.

Synengco has trialled SentientSystem on a set of wells to demonstrate valuable insights progressive cavity pumps (PCP) behaviour. The software allowed prediction of failures days, and sometimes weeks, in advance.

Objectives

Drive down costs and production losses caused by downhole pump failures
Prove feasibility of using predictive data analytics to maximise its Coal Seam Gas production efficiency

Key Outcomes

Predictive events were observable before 70% of failures 
Most common reason for unpredictability is missing data
Average predictive lead time of 10 days

Predictive analytics for downhole pumps
SentientSystem detecting downhole irregularities in the lead up to a confirmed failure