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Machine learning to detect earthquakes in energy extraction and storage


Project Description

In this project, you will study microearthquakes caused by energy production with machine learning to understand why and how they occur. The exploitation of renewal energy resources such as geothermal, as well as traditional hydrocarbon production, often leads to seismicity—the occurrence of earthquakes. Whilst this seismicity may pose a hazard if earthquakes are sufficiently large to cause damage, the pattern and type of microearthquakes is also a useful tool to discover more about the physical processes at play in these energy settings.

In order to monitor energy processes for safety and fundamental scientific research, it is necessary to detect and locate the earthquakes occurring. With potentially many thousand events, traditional manual picking is no longer practical, and instead automatic methods must be used.

Funding Notes

This 3.5 years EPSRC DTP award will provide tuition fees (£4,500 for 2019/20), tax-free stipend at the UK research council rate (£15,009 for 2019/20), and a research training and support grant of £5,000.

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