Electrical signature analysis and InsiteAI for oil and gas industry

Why is InsiteAI so Important in the Oil & Gas Industry?

The oil and gas industry is highly capital-intensive, with a large number of assets that need to be maintained. As a result, companies in the industry are always looking for ways to improve efficiency and reduce costs. Volta Insite can help achieve both of these goals. With the implementation of InsiteAI companies can improve efficiency by avoiding unplanned downtime. By harnessing the power of data and analytics, InsiteAI unlocks valuable insights from vast amounts of historical and real-time data to forecast future trends, performance, and downtime risks.

Electrical signature analysis (ESA) has emerged as a solution to some of the challenges associated with operating electrical submersible pumps (ESPs). Unlike conventional monitoring technologies, ESA does not rely on downhole sensors. Instead, it analyzes high-frequency electrical data recorded inside the motor control cabinet at the surface. InsiteAI incorporates machine learning algorithms to provide continuous surveillance and adeptly detect mechanical and electrical issues in the motor, pump and power cabling before they result in ESP failure. This information allows production engineers and operators to reduce unplanned downtime.

Predictive maintenance for the oil and gas industry - image depicting equipment for the oil and gas industry

Making Operations Run Smoothly for Your Business

Enhanced Equipment Lifespan

Protect your critical equipment and achieve a better ROI on every asset.

Optimal Energy Use

Benefit from real-time monitoring to ensure energy efficiency.

Predictive Maintenance

Reduce downtimes and keep your operation running smoothly.

What Our Partners Say

Image of motor about testimony on several current single-phase events

"Our site saw several current single-phase events. The utility stated it was not on their side, but Volta InsiteAI showed otherwise. This helped prove that the power feed was the culprit and impacting our operations. Since we switched to the new transformer we have not had this issue again."

- J.H.

Applications Engineer