FieldPulse? real-time production monitoring and model-based predictive analytics for the digital oilfield
Rising costs and challenging market conditions make the need for operational excellence greater than ever. FieldPulse? analytics software helps improve well performance, increase operational efficiency and reduce lift costs through a model- based management by exception approach and predictive analytics.
“When operators can predict and mitigate problems that jeopardize production, they can manage their assets to meet their maximum potential and deliver the highest return on investment,” said Martin Brudy, Vice President, Reservoir Development Services at Baker Hughes. “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.”
In orderto providee 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 constantly monitored, and warnings and alerts are generated to acclerate 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 real-time operations centers, in modern collaboration rooms, on tablet devices, on touch-enabled laptops and on conventional laptops and desktops. It works out of the box with minimal configuration and is easily deployed so value can be realized within hours.
The FieldPulse model-based, predictive analytics software is the latest example of Baker Hughes’ strategy to improve well efficiency, optimize production and increase ultimate recovery.
FieldPulse analytics software helps improve well performance, increase operational efficiency and reduce lift costs through a model based management by exception approach and predictive analytics.
Gain line of sight to 1,000’s of wells
FieldPulse excels in large well count fields where large volumes of data can be overwhelming and maintaining accurate line of sight into field performance can be challenging.
Specifically designed for digital oilfield initiatives, FieldPulse automates well centric workflows by seamlessly integrating field data, well models and predictive analytics. The standard workflows contain petroleum engineering methods that can help identify underperforming wells.
KPIs, predictive warnings and alerts help reduce downtime and provide actionable data to help with decisions relating to well activities, crew movements and reduce expenses relating to well remediation.
Predict and mitigate problems before they happen
Using well-centric predictive analytics, FieldPulse will help identify problem wells before the problems occur. KPIs such as rate decline, model deviations and instrumentation/data anomalies are constantly monitored by FieldPulse. Warnings and alerts are displayed along with the supporting data to help identify the cause.
FieldPulse also generates a candidate opportunity index to help find wells that may have the most opportunity for production efficiency gains. High value producers take precedence. The software benchmarks performance to enable continuous improvement.
Utilize your existing investments
There’s no need for new investments in sensors, gauges, or databases since FieldPulse can integrate data from your existing production databases, data historians and completion databases.
FieldPulse can integrate with industry leading well modeling software and steady-state multiphase flow simulators to detect production deviation from model, integrate test data to perform model re-calibration, and use well models as the basis for virtual metering. FieldPulse 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.
Optimized for real-time operations centers (RTOC’s)
FieldPulse is designed for large form displays and touch screen technology. FieldPulse can also be viewed on tablet devices, touch enabled laptops as well as conventional laptops and desktops.
Realize value immediately
It takes minutes to set up a well within FieldPulse and value can be realized within hours. FieldPulse supports all OPC compatible data historians, well models from most major vendors and each installation can be scaled to over 1000 wells. FieldPulse can be applied across any asset type.
Applications
Production surveillance
Field management
Virtual Metering
Well model calibration and maintenance
Digital oilfield initiatives
Features and Benefits
Well-centric monitoring
– Rate decline
– Model deviations
– Instrumentation/data anomalies
Six standard workflows that improve operational efficiency
– Field data capture, cleansing and validation
– Well test validation and model calibration
– Virtual metering
– Production forecasting
– Well surveillance (including predictive analytics)
– Well and field KPIs (using dynamic boundaries and model-based tolerances)
Minimal configuration and easy deployment
Designed for large format displays, touch screen technology, tablet devices, and conventional laptops and desktops
Supports common production data sources
– Instrumentation
– Daily recordings
– Allocated volumes
– Well tests
– Well models
– OPC and relational data
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