Closing the Loop: What Modern Oil & Gas Teams Do Differently

In today’s oil & gas landscape, production teams face no shortage of complexity - volumes of disparate data and systems that often operate in silos being just part of the equation.

The good news? You likely already have the data you need. What’s missing is a practical way to consistently turn that data into decisions that improve reliability, reduce downtime, and accelerate performance.

This is where structured, intelligent tools like Nexgineer™, and domain specific solutions like SmartLift™, come in. They give engineering teams the structure, speed, and insight to move from reactive problem solving to scalable, data-driven predictive optimisation and control that’s transforming the way modern oil & gas teams operate.

From Predictive Insight to Operational Advantage

Predictive analytics isn’t new to oil & gas. But for many teams, those insights never quite make it into daily operations. They're not embedded into daily workflows, get stuck in proprietary systems, or remain pilot projects that fail to scale.

The teams that are leading the way are those who utilise tools with capabilities that are:

• Aligned with engineering priorities

• Embedded in daily control and surveillance processes

• Transparent, explainable, interoperable and built for real-time decision making

• Scalable across wells, assets, and teams.

So what are these advanced tools and how are they different?

Introducing SmartLift™

SmartLift™ is an advanced process control (APC) system that helps production engineers optimise and manage large oil and gas fields more efficiently. It is one of a number of solutions powered by Nexgineer™ - a platform developed by SIG Machine Learning to help oil & gas teams deploy, and scale, predictive applications in real-world operations.

Instead of engineers manually reviewing performance trends and adjusting pump speeds across hundreds or thousands of wells, SmartLift™ runs daily surveillance, predicts outcomes, and generates optimal setpoint recommendations, all backed by engineering logic and field-specific constraints.

Whether you're trying to prevent pump failures, optimise gas lift rates, or reduce energy consumption across a network of wells, your teams can build predictive optimisation models for their assets, simulate “what-if” strategies before applying changes, and embed those models into control systems.

Tailored to your current systems and compatible with existing data sources, SCADA , and workflows, SmartLift replaces static, rule-based control with a predictive model-based framework that:

• Detects performance deviations across well portfolios

• Forecasts how system behaviour will respond to pump speed changes

• Generates explainable, actionable setpoint adjustments

• Automates control - with full engineer oversight.

SmartLift™: From real-time data to AI-enhanced monitoring, optimisation and control.

Whether operating in open-loop (recommendations only) or closed-loop (fully automated), SmartLift™ adapts to your workflow and level of control. Proven at scale, it’s already been deployed across 1,000+ wells, and organisations have realised benefits such as:

70% Time Savings	1% Production Increase
2% Emissions Reduction	5% Failures Prevented

Clarity, Confidence, Control for Oil & Gas Teams

As the industry shifts toward more integrated and predictive operations, the teams that succeed will be the ones who can be proactive in their decision making, not just react to issues after the event.

Advanced solutions like SmartLift™ give modern teams that advantage. By combining predictive modelling, simulation, and control integration into a single platform, they help engineering teams do what they already do - only faster, more consistently, and with better outcomes.

👉 Ready to see how Nexgineer™ and SmartLift™ support real-time optimisation and control in your oil & gas operations? Book a demo today →