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Jef Caers

Stanford University

367 Panama St

Stanford, CA 94305

United States

  • Stanford University

SCHOLARLY PAPERS

5

DOWNLOADS

369

TOTAL CITATIONS

0

Scholarly Papers (5)

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1.

Uncovering Heterogeneous Effects in Computational Models for Sustainable Decision-Making

Number of pages: 34 Posted: 24 Aug 2023
Mariia Kozlova, Robert J. Moss, Julian Scott Yeomans and Jef Caers
LUT University, Stanford University, affiliation not provided to SSRN and Stanford University
Downloads 191 (397,477)

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global sensitivity analysis, simulation decomposition, Monte Carlo simulation, Decision-making under uncertainty

2.

Quantifying Uncertainty in Ultra-Deepwater Carbonate Facies Modeling

Number of pages: 21 Posted: 05 Mar 2024
Jonas Kloeckner, David Zhen Yin, Paulo R. M. Carvalho, Diego M. Marques, João Felipe C. L. Costa and Jef Caers
Stanford University, Stanford University, Petrobras, Universidade Federal do Rio Grande do Sul (UFRGS), Universidade Federal do Rio Grande do Sul (UFRGS) and Stanford University
Downloads 111 (649,907)

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Geostatistics, Carbonate Facies Modeling, 3D Markov Chains, Seismic, Hidden Markov Models, Uncertainty quantification

3.

Quantifying CO2 Leakage Risk when Planning Safe Geological Carbon Storage Using Importance Sampling of Failure Probabilities

Number of pages: 38 Posted: 01 Nov 2025
Sofia Mantilla Salas, Jonas Kloeckner, David Zhen Yin, Markus Zechner and Jef Caers
Stanford University, Stanford University, Stanford University, Stanford University and Stanford University
Downloads 48 (1,121,190)

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Carbon Capture and Storage. Leakage. Uncertainty. Sampling. Risk. Efficiency.

4.

Importance Sampling for Rare-Event Estimation under Spatial Uncertainty: Application to Estimating CO₂ Leakage Risk in Carbon Capture and Sequestration

Number of pages: 30 Posted: 02 Apr 2026
Sofia Mantilla Salas, Jonas Kloeckner, David Zhen Yin, Markus Zechner and Jef Caers
Stanford University, Stanford University, Stanford University, Stanford University and Stanford University
Downloads 15 (1,518,554)

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Uncertainty, Sampling, risk, Efficiency, Carbon Capture and Storage, Leakage

5.

Beyond Grade and Tonnage: AI-Based Planning Considering Resource Economics and Sustainability

Number of pages: 41
Jonas Kloeckner, Mansur Arief, Sofia Mantilla Salas and Jef Caers
Stanford University, King Fahd University of Petroleum & Minerals (KFUPM), Stanford University and Stanford University
Downloads 4

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decision-making, pomdp, mineral exploration, artificial intelligence, sustainable development