This pilot study investigates the seismic morphology of the Rhaetian fluvial distributive system (RFDS), a key geothermal target in the North German Basin. Seismic amplitude, seismic attributes, and machine learning techniques, including principal component analysis (PCA) and self-organizing maps (SOM), were applied to generate seismic facies maps of the channel-floodplain system to improve the targeting of sandstone reservoirs
for geothermal exploration.
Teilnahme vor Ort im großen Sitzungssaal des Geozentrum Hannover oder online unter folgendem Webex-Link: https://liag.webex.com/liag/j.php?MTID=m6962bb91db07fcef8562a555139afff1
Der Vortrag wird auf Englisch gehalten.