SUITE
NEXGINEER
TM
Next-Generation Engineering.
A.I. applications purpose-built to.....
maximise production
minimise emissions
maximise reliability
save time
applications
oil & gas | mining
Solving major industry challenges on accelerated timelines utlising...
smart.lift
oil & gas
intelligent control of artificial lift systems (PCP, ESP, SRP).
smart.assets
energy & mining
predictive operations, predictive maintenance,
decision support and
process automation.
smart.explorer
mining
integrating ML into mineral targeting.
features include...
Real-Time Advanced Analytics
Automated Data Validation
Advanced Production Allocation
Proactive Intervention Planning
Predictive Operations
Predictive Maintenance
Integrated Scenario Analytics
Exception-Based Surveillance
A.I. Augmented Advanced Process Control
Automated Failure Diagnostics
Emissions Prediction & Reduction
Automated Visualisation & Reporting
measure | predict | optimise | automate
smart.lift
intelligent control solutions for artificial lift wellsites.
PCP, ESP, LRP
Production Optimisation
Example: Progressive Cavity Pumps (PCP's)
Minimise
Current Deployments
500+ Wellsites
Maximise
-
PRODUCTION
-
RELIABILITY
-
EMISSIONS
-
OPEX
Built with Production Engineers from industry, the SmartPCP introduces discipline-led A.I. algorithms into cloud-based control systems.
before and after...
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.
​
smart.assets
predictive operations, intervention and maintenance to make asset operations smarter and easier.
Turndown Optimisation
TM
SmartLever
A.I. -augmented supervisory control to reduce downtime and economic impact of planned and unplanned facility outages.
Planned Outages Module
Run Engineering Scenarios Ahead of Time
Unplanned Outages Module
Defined Event-Response Plan Ahead of Time
-
Reduce planning and execution time.
-
Multivariable, economics-driven turndown scenario modelling .
-
Identification of optimal turndown sequences, that minimise deferment and downhole failure risks.
-
Integrating ML risk classification with supervisory control systems.
A Multi-Objective A.I. System, to Reduce....
Deferment
Flaring
Downhole Failure Risks
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
