Baker Hughes introduced its FieldPulse model-based, predictive analytics software, which enables operators to proactively optimize production across entire fields by giving them clear understanding of an asset’s performance in real time. To provide this understanding, the FieldPulse software can seamlessly 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. Key performance indicators such as rate decline and model deviations are monitored constantly, 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 FieldPulse 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. The FieldPulse software can be used in operations centers, in modern collaboration rooms, on tablet devices, on touch-enabled laptops, and on conventional laptops and desktops. It works with minimal configuration and is easily deployed, so value can be realized within hours.
For additional information, visit www.bakerhughes.com.
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