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Data Science for Oil and Gas

Data Science for Oil and Gas

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Energy – its sources, consumption patterns, and economic and ecological impact – has become one of the defining issues of our time. The oil and gas industry faces pressure from many sources: from markets to operate profitably, and from regulations and society to operate with minimal environmental risk. Sometimes it feels as if alleviating those pressures is a mutually exclusive choice.

The good news is that the industry’s unprecedented volume of data can improve the processes and decisions related to oil and natural gas exploration, production, and refinement. The data volume grows daily, driven by the development of new devices to track a wider array of reservoir, machinery, and personnel performance. This creates an opportunity for the industry to deliver more for less – and faster – while reducing environmental impact.

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