Baker Hughes introduces model-based, predictive analytics software
Baker Hughes has unveiled the FieldPulse model-based, predictive analytics software.
HOUSTON – Baker Hughes has unveiled the FieldPulse model-based, predictive analytics software.
Martin Brudy, vice president, Reservoir Development Services at Baker Hughes, said: “When operators can predict and mitigate problems that jeopardizeproduction, they can manage their assets to meet their maximum potential and deliver the highest return on investment.
“The FieldPulse software gives operators that capability, helping them to understand in real time how a field is performing, identify and target wells with the highest production potential and manage the asset accordingly.”
The new software can integrate and interpret large volumes of production data, well models and well test data from multiple sources; then, automating common petroleum engineering calculations, it helps identify and rank underperforming wells.
The company says key performance indicators such as rate decline and model deviations are constantly monitored, and warnings and alerts are generated to accelerate well selection and provide actionable data to help operators make decisions relating to well remediation, when and where it is needed.
Because the new software uses data from existing production and completion databases, operators can choose to avoid investing in new sensors, gauges, or databases. The software also has its own built-in nodal engine, which allows real-time integration between field data and well models without the need for additional well modeling software.
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