Data Science in Subsidence Engineering: Challenges and Applications in Salt Cavern Subsidence Prediction

Beschreibung

This presentation explores the impact of spatial distribution on parameter estimation through a synthetic simulation. It demonstrates how spatial variability influences model accuracy and prediction reliability. Additionally, it presents a critical review of real-world applications in salt cavern subsidence, with a focus on cases in Germany. The discussion covers key challenges, limitations, and the feasibility of accurate subsidence predictions.

Zeitraum	26 Feb. 2024
Ereignistitel	XXXIII Mineral Resources & Energy Congress (SEP)
Veranstaltungstyp	Konferenz
Ort	Cracow, PolenAuf Karte anzeigen