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
