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View article: Forecasting induced seismicity in enhanced geothermal systems using machine learning: challenges and opportunities
Forecasting induced seismicity in enhanced geothermal systems using machine learning: challenges and opportunities Open
SUMMARY Induced seismicity poses a significant challenge to the safe and sustainable development of Enhanced Geothermal Systems (EGS). This study explores the application of machine learning (ML) for forecasting cumulative seismic moment (…
View article: Deep-Learning-Based Automatic Sinkhole Recognition: Application to the Eastern Dead Sea
Deep-Learning-Based Automatic Sinkhole Recognition: Application to the Eastern Dead Sea Open
Sinkholes can cause significant damage to infrastructures, agriculture, and endanger lives in active karst regions like the Dead Sea’s eastern shore at Ghor Al-Haditha. The common sinkhole mapping methods often require costly high-resoluti…
View article: Predicting fault stress level and stress drop using seismo-mechanical and statistical features derived from acoustic signals in laboratory stick-slip friction experiments and assesing feature importance via the derived models.
Predicting fault stress level and stress drop using seismo-mechanical and statistical features derived from acoustic signals in laboratory stick-slip friction experiments and assesing feature importance via the derived models. Open
Earthquake prediction relies on identification of distinctive patterns of precursory parameters that might precede a large earthquake. However, these patterns are typically not reliably observed in the field. Laboratory stick-slip experime…
View article: Automatic geological structure recognition at the Dead Sea lakebed
Automatic geological structure recognition at the Dead Sea lakebed Open
<p>This research aims at developing and applying a machine learning based algorithm to detect geological structural features at the exposed Dead Sea shoreline. We focus on sinkhole, stream-channel and crack features that appear in di…
View article: Unlocking the potential of ML for Earth and Environment researchers
Unlocking the potential of ML for Earth and Environment researchers Open
<p>This presentation reports on support done under the aegis of Helmholtz AI for a wide range of machine learning based solutions for research questions related to Earth and Environmental sciences. We will give insight into typical p…