Energy

AI solution for optimised oil flow

Key facts

typically33%rise in under-pumping well production
typically6%net production increase across wells
typically14%rise in pump efficiency in over-pumping wells
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Top business benefits

Increases production in under-pumping wells

Increases production across all wells

Lower maintenance costs

Improves efficiencies

Increases revenue

This AI and machine-learning tool delivers optimal oil flow from electrical submersible pumps (ESPs), it's particularly effective in fields with high-water cut.

In more detail

Full description

With tough environmental and sustainability targets to meet, oil operators are increasingly focused on maximising well productivity at minimum economic and environmental cost. This AI and machine-learning solution delivers optimal oil flow from electrical submersible pumps (ESPs).

It is particularly well-suited for oil extractions at fields with high-water cut. It uses sensors to monitor each ESP in real time. It then analyses the data through a cloud-based server and adjusts pump operation automatically to obtain optimal efficiency. This solution overcomes the limitations of human ESP operations by monitoring more wells with higher frequency and accuracy. It significantly increases oil flow and revenue from each well and it reduces well-shutdown risk, due to improved controls and lower electricity consumption.

The challenge

With tough environmental and sustainability targets to meet, oil operators are increasingly focused on maximising well productivity at minimum economic and environmental cost. Typically, they rely on manual monitoring processes for their ESPs, but this is time consuming, expensive and prone to human error.

This AI and machine-learning solution delivers optimal oil flow from electrical submersible pumps (ESPs). It is particularly well-suited for oil extractions at fields with high-water cut. It uses sensors to monitor each ESP in real time. It then analyses the data through a cloud-based server and adjusts pump operation automatically to obtain optimal efficiency.

This solution overcomes the limitations of human ESP operations by monitoring more wells with higher frequency and accuracy. It significantly increases oil flow and revenue from each well and it reduces well-shutdown risk, due to improved controls and lower electricity consumption.

The approach

This AI and machine-learning solution delivers optimal oil flow from electrical submersible pumps (ESPs). It is particularly well-suited for oil extractions at fields with high-water cut. It uses sensors to monitor each ESP in real time. It then analyses the data through a cloud-based server and adjusts pump operation automatically to obtain optimal efficiency.

This solution overcomes the limitations of human ESP operations by monitoring more wells with higher frequency and accuracy. It significantly increases oil flow and revenue from each well and it reduces well-shutdown risk, due to improved controls and lower electricity consumption.

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