Quanovo | Data Technologies | Liverpool

Energy

"In our industry, applying these Big Data and visualisation techniques can facilitate the transition to greater energy efficiency and sustainability."

Gerald Schotman, Chief Technology Officer at Royal Dutch Shell PLC

Energy


The majority of companies in the Energy industry have for a long time used large amounts of data to drive their decision-making process. From exploration, production, transportation and distribution the industry is weighed down by the sheer quantity of data that is available to be analysed.

Predictive Maintenance can provide more cost effective and time effective way to schedule better maintenance and repairs on essential machinery. This methodology can bring an energy company one step closer to zero unplanned downtime and the rewards that come with that.

Predictive location exploration and drilling can be done using the vast amounts of data at an energy company’s disposal and in doing so improve efficiency, reduce costs and also reduce risks.

Route optimisation and Facility placement analysis can allow an organisation to gain a competitive advantage by leveraging Data Science to plan the best possible path for a pipeline or a distribution route as well as storage and distribution centre placements.

Demand forecasting through gauging consumption patterns allowing energy companies to match supply to demand.

Smart Meter Analytics

Distribution Load Forecasting/Scheduling

Predictive Maintenance

Fraud Detection


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Predictive Analytics

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Network Analytics

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Time Series Analysis

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Fraud Detection

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