At SIG Machine Learning we help teams leverage advanced analytics to analyse and evaluate optimisation opportunities in less time.

Nexgineer™ Field Optimizer is an AI-driven field optimization software that helps production engineers manage complex oil and gas fields more efficiently. 

Most teams already have data, simulation models, and dashboarding tools, but daily optimisation still relies heavily on manual surveillance by exception and reactive decision-making. Field Optimizer adds a predictive optimisation layer on top of existing systems. It uses live field data to predict how wells, lift systems, and networks will respond to change, then evaluates feasible operating actions under real constraints. This allows engineers to prioritise opportunities, assess trade-offs, and make better optimisation decisions faster.

The system is differentiated by its ability to perform automated, field-level setpoint evaluation and optimization while simultaneously streamlining exception-based surveillance within a single framework.

Nexgineer™ Field Optimizer is deployed as an advisory tool, not a replacement for existing workflows. In short, it helps teams move from manual, reactive surveillance to proactive, predictive field optimisation; saving time and improving performance.

SIG Machine Learning

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SIG Machine Learning

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