intelligent control solutions for artificial lift wellsites.
PCP, ESP, LRP
Maximise Production and Uptime with Smarter Control Systems.
Example: Progressive Cavity Pumps (PCP's)
Built with Production Engineers from industry, the SmartPCP introduces discipline-led A.I. algorithms into cloud-based control systems.
Minimise
Current Deployments
500+ Wellsites
Maximise
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PRODUCTION
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RELIABILITY
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EMISSIONS
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OPEX
before and after
smart.assets
predictive operations, intervention and maintenance to make asset operations smarter and easier.
Integrate operations, maintenance and intervention systems and processes
Well Performance Benchmarking
Emissions Mapping
Proactive Intervention Planning
Event and Anomaly Detection
Analytical Performance Forecasting
Flow Metre Calibration
Deferment Optimiser & Loss Reporting
Scenario Analytics & End of Life Asset Optimiser
Production Systems
Facilities
Equipment Failure Modelling
Compressor Maintenance Optimiser
Turndown Scenario Analyser
Rig Operations
Rig Performance Optimisation
Predictive Alarm Analysis
Realtime Perm-Design Planning
Stuckpipe Prediction Tool
Live-Workovers Prioritisation Planner
How it works
The SmartPCP integrates core petroleum engineering disciplines into a multivariable A.I. system, capable of insight or supervisory wellsite control.
Learning the economic impacts from the events, anomalies and outcomes across entire well fleets to guide each setpoint recommendation going forward.
In partnership with Kelvin A.I., the SmartPCP is deployed as a Supervisory Control System in Kelvin's Control Manager.
The SmartPCP brings more flexible, capable asset control.
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SmartLever
TM
Reduce Downtime from Facility Outages with Production Engineering-Led Economic Scenario Analytics
Industrial Automation | IIOT | Machine Learning
What is SmartLever?
SmartLever is an A.I. -augmented supervisory control system for turndown management of well fleets.
Planned Outages Module
Run Engineering Scenarios Ahead of Time
Unplanned Outages Module
Defined Event-Response Plan Ahead of Time
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Reduce planning and execution time.
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Multivariable, economics-driven turndown scenario modelling .
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Identification of optimal turndown sequences, that minimise deferment and downhole failure risks.
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Integrating ML risk classification with supervisory control systems.
A Multi-Objective A.I. System, to Reduce....
Deferment
Flaring
Downhole Failure Risks
What is SmartWorkovers?
The A.I.-driven process-automation member of the 'Smart Asset Manager' family.
Intelligence-Driven Planning and Execution of Intervention Activities on Wellsites.
The SmartWorkovers software was developed to address the manual, repetitive process of gathering data to identify and assess candidates for intervention activities.
SmartWorkovers simplifies the process through integration and insight from the asset operating history.
Engineering teams can look forward to:
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Historical Runtime Statistical Summaries
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Auto-Failure Diagnostics.
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Proactive Workover Assessments
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Economics Scenario Manager
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Schedule Scenario Manager
smart.explorer
ML-Integrated Mineral Targetting
Supporting Sustainable Next-Generation Mineral Targetting
Integrating ML into Exploration Strategy
ML-augmented Mineral Targetting
Current Focus Region
Gawler Craton, South Australia
How SIG ML Supports Explorers?
Process Exploration Data Faster.
Integrate A.I. Into Enterprise-Level Exploration Strategy
De-Risk Greenfields Campaigns in New Regions of Interest
