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Oil & Gas

Autonomous well optimisation

Key facts

5-10%

increase in production

Next Steps
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Top business benefits

Increases production

Lowers operating costs

Software solution for optimising sucker-rod pump performance.

In more detail

Full description

With tough environmental and sustainability targets to meet, operators are increasingly focused on maximising productivity at minimum cost. This data-analytics software solution is designed to maximise productivity by optimising sucker-rod pump performance in wells. It sends rod-pump data directly to the cloud, where analytics software with AI and machine-learning capabilities automates them.

This high-quality downhole information allows for reduced well volatility, better pump efficiency and increased pump filling, all of which enhance productivity. Adaptive controllers are connected into the legacy-rod pump-control system to analyse well-site data in real time. This solution then classifies wells into operating states of over-pumping, under-pumping and dialled-in, helping to optimise operating parameters and allow engineers to keep a constant eye on well metrics. This results in increased production and increased efficiencies that lower operating costs.

The challenge

With tough environmental and sustainability targets to meet, operators are increasingly focused on maximising productivity at minimum cost. In order to survive operators must optimise all their equipment and systems to maximise output. This data-analytics software solution is designed to maximise productivity by optimising sucker-rod pump performance in wells. It sends rod-pump data directly to the cloud, where analytics software with AI and machine-learning capabilities automates them.

This high-quality downhole information allows for reduced well volatility, better pump efficiency and increased pump filling, all of which enhance productivity. Adaptive controllers are connected into the legacy-rod pump-control system to analyse well-site data in real time. This solution then classifies wells into operating states of over-pumping, under-pumping and dialled-in, helping to optimise operating parameters and allow engineers to keep a constant eye on well metrics. This results in increased production and increased efficiencies that lower operating costs.

The approach

This data-analytics software solution is designed to maximise productivity by optimising sucker-rod pump performance in wells. It sends rod-pump data directly to the cloud, where analytics software with AI and machine-learning capabilities automates them. This high-quality downhole information allows for reduced well volatility, better pump efficiency and increased pump filling, all of which enhance productivity. Adaptive controllers are connected into the legacy-rod pump-control system to analyse well-site data in real time. This solution then classifies wells into operating states of over-pumping, under-pumping and dialled-in, helping to optimise operating parameters and allow engineers to keep a constant eye on well metrics. This results in increased production and increased efficiencies that lower operating costs.

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