222 citations · 234 across the 10 of their papers we have counts for
10 papers
Continually learning neural-operator surrogate for three-dimensional airborne electromagnetic Bayesian inversion
Jaehong Chung, Andrew Lockwood, Jef Caers
Three-dimensional probabilistic inversion of time-domain airborne electromagnetic (AEM) data is limited by the cost of the forward solve. Even though one simulation takes only tens…
Optimizing Lithium Production Decisions under Geological, Demand, and Pricing Uncertainties: A POMDP Framework for Multi-Objective Decision Making
Anna C. Edmonds, Mansur M. Arief, Robert J. Moss +2
Decision making in lithium production is challenging, whether from an investor's perspective or a strategic production standpoint. Determining which mines to open and when to open…
Adaptive mine planning under geological uncertainty: A POMDP framework for sequential decision-making
Hamza Khalifi, Jef Caers, Yassine Taha +2
Strategic mine production scheduling under geological uncertainty is conventionally formulated as a stochastic optimization problem in which a fixed extraction sequence and routing…
The future of AI in critical mineral exploration
Jef Caers
The energy transition through increased electrification has put the worlds attention on critical mineral exploration Even with increased investments a decrease in new discoveries h…
AI-Driven Optimization under Uncertainty for Mineral Processing Operations
William Xu, Amir Eskanlou, Mansur Arief +2
The global capacity for mineral processing must expand rapidly to meet the demand for critical minerals, which are essential for building the clean energy technologies necessary to…
Managing Geological Uncertainty in Critical Mineral Supply Chains: A POMDP Approach with Application to U.S. Lithium Resources
Mansur Arief, Yasmine Alonso, CJ Oshiro +5
The world is entering an unprecedented period of critical mineral demand, driven by the global transition to renewable energy technologies and electric vehicles. This transition pr…
BetaZero: Belief-State Planning for Long-Horizon POMDPs using Learned Approximations
Robert J. Moss, Anthony Corso, Jef Caers +1
Real-world planning problems, including autonomous driving and sustainable energy applications like carbon storage and resource exploration, have recently been modeled as partially…
Optimizing Carbon Storage Operations for Long-Term Safety
Yizheng Wang, Markus Zechner, Gege Wen +4
To combat global warming and mitigate the risks associated with climate change, carbon capture and storage (CCS) has emerged as a crucial technology. However, safely sequestering C…
A POMDP Model for Safe Geological Carbon Sequestration
Anthony Corso, Yizheng Wang, Markus Zechner +2
Geological carbon capture and sequestration (CCS), where CO is stored in subsurface formations, is a promising and scalable approach for reducing global emissions. However, if…
Geological realism in hydrogeological and geophysical inverse modeling: a review
N. Linde, P. Renard, T. Mukerji +1
Scientific curiosity, exploration of georesources and environmental concerns are pushing the geoscientific research community toward subsurface investigations of ever-increasing co…