all AI news
BEACON: Bayesian Experimental design Acceleration with Conditional Normalizing flows $-$ a case study in optimal monitor well placement for CO$_2$ sequestration
April 2, 2024, 7:41 p.m. | Rafael Orozco, Abhinav Gahlot, Felix J. Herrmann
cs.LG updates on arXiv.org arxiv.org
Abstract: CO$_2$ sequestration is a crucial engineering solution for mitigating climate change. However, the uncertain nature of reservoir properties, necessitates rigorous monitoring of CO$_2$ plumes to prevent risks such as leakage, induced seismicity, or breaching licensed boundaries. To address this, project managers use borehole wells for direct CO$_2$ and pressure monitoring at specific locations. Given the high costs associated with drilling, it is crucial to strategically place a limited number of wells to ensure maximally effective …
abstract arxiv bayesian case case study change climate climate change cs.lg design engineering experimental however math.mp math-ph monitoring nature placement risks solution study type uncertain
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Tableau/PowerBI Developer (A.Con)
@ KPMG India | Bengaluru, Karnataka, India
Software Engineer, Backend - Data Platform (Big Data Infra)
@ Benchling | San Francisco, CA