Data-Driven Lift Reshapes Canada’s Oilfields

Producers in mature basins adopt digital artificial lift systems to cut costs, stabilise output and meet tighter capital and emissions targets 

16 Feb 2026

Digital technology is reshaping operations in Canada’s oilfields as producers adopt data-driven artificial lift systems to improve performance in ageing reservoirs.

Across global energy markets, oil companies are investing in digital tools to raise efficiency, lower emissions and control spending. In Canada’s mature basins, this shift is visible in the wider use of artificial lift systems equipped with real-time monitoring and predictive analytics.

Artificial lift, including electric submersible pumps, is used when natural reservoir pressure declines. These systems are essential to sustain production but can be costly to maintain. Equipment failures may halt output and lead to expensive repairs, particularly in remote areas exposed to harsh weather. Digital platforms, such as SLB’s Intelligent Lift technology, combine live operational data with predictive models to detect faults before they lead to shutdowns.

The move reflects a broader transition in the oilfield services sector from hardware-focused offerings to integrated digital systems. Instead of responding to breakdowns, operators can adjust performance earlier, extend equipment life and reduce unplanned interventions. Companies say this approach supports steadier production and more disciplined capital allocation.

Competition among service providers underscores the trend. Baker Hughes and other groups are investing in digital production platforms that link pumps, sensors and control systems into connected networks. Artificial lift is increasingly treated as part of a wider data infrastructure rather than as a stand-alone mechanical service.

For Canadian producers facing volatile crude prices and investor pressure to restrain spending, remote diagnostics and automated optimisation offer potential savings. Fewer site visits can reduce operating costs and cut fuel use, aligning with corporate emissions targets.

Challenges remain. Companies must manage cybersecurity risks, define data ownership and integrate new software with older equipment. Upfront costs and workforce training also require planning.

Even so, adoption is rising as operators seek to maintain output from mature assets. Industry groups expect digital oilfield strategies to expand further as producers pursue efficiency gains in a more constrained investment environment.