Researchers at CWI based at Amsterdam Science Park have developed a new model to more accurately predict earthquakes caused by gas extraction in Groningen. This model, based on machine learning and seismic data, improves understanding of where and when tremors occur. This is crucial for safety measures and damage mitigation in the region.
The research combines historical seismic data with advanced machine learning techniques to recognize patterns. This allows for more accurate earthquake predictions than traditional models. As a result, governments and emergency services can be better prepared and take preventive measures.
The research is part of the DeepNL programme, an initiative by the Dutch Research Council (NWO) aimed at improving the understanding of deep subsurface dynamics, particularly in regions where human activities, such as gas extraction, impact the underground environment. DeepNL is a long-term project based on recommendations from the Dutch Safety Board and is partly funded by the Nederlandse Aardolie Maatschappij (NAM). The research is conducted according to NWO’s strict quality standards, with NAM having no influence over the decision-making or content of the programme.
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