[HTML][HTML] Uncertainty assessment of spatial domain models in early stage mining projects–A review

S McManus, A Rahman, J Coombes, A Horta - Ore Geology Reviews, 2021 - Elsevier
Sustainability of mining projects is linked to informed investment decisions based on public
reporting of exploration and mineral resource estimation results. In Australia, guidelines for …

Automated Monte Carlo-based quantification and updating of geological uncertainty with borehole data (AutoBEL v1. 0)

Z Yin, S Strebelle, J Caers - Geoscientific Model Development, 2020 - gmd.copernicus.org
Geological uncertainty quantification is critical to subsurface modeling and prediction, such
as groundwater, oil or gas, and geothermal resources, and needs to be continuously …

Efficacy of information in mineral exploration drilling

J Caers, C Scheidt, Z Yin, L Wang, T Mukerji… - Natural Resources …, 2022 - Springer
In mineral exploration, targets need to be confirmed by means of drilling. Such drilling is
based on anomalies often detected in geochemical and/or geophysical exploration …

Decision frameworks for restoration & adaptation investment–Applying lessons from asset-intensive industries to the Great Barrier Reef

M Sivapalan, J Bowen - Plos one, 2020 - journals.plos.org
Asset-intensive industries (including water and power utilities, mineral resources and
energy) are those which require significant levels of capital investment in their assets in …

Deep forest modeling: an interpretable deep learning method for mineral prospectivity map**

YL Dong, ZJ Zhang - Journal of Geophysical Research …, 2024 - Wiley Online Library
Accurate mineral prediction is crucial for reducing costs and uncertainties in mineral
discovery and extraction. The use of artificial intelligence and big data has advanced …

Sequential value of information for subsurface exploration drilling

T Hall, C Scheidt, L Wang, Z Yin, T Mukerji… - Natural Resources …, 2022 - Springer
Quantitative methods are needed for systematic decision-making during exploration for
subsurface resources, but few methods exist that fully incorporate the interaction of …

The Intelligent Prospector v1. 0: geoscientific model development and prediction by sequential data acquisition planning with application to mineral exploration

J Mern, J Caers - Geoscientific Model Development, 2023 - gmd.copernicus.org
Geoscientific models are based on geoscientific data; hence, building better models, in the
sense of attaining better predictions, often means acquiring additional data. In decision …

The value of information in portfolio problems with dependent projects

D Bhattacharjya, J Eidsvik, T Mukerji - Decision Analysis, 2013 - pubsonline.informs.org
In the portfolio problem, the decision maker selects a subset from a set of candidate projects,
each yielding an uncertain profit. When the projects in the portfolio are probabilistically …

Application of soft data in nodule resource estimation

SL Ellefmo, T Kuhn - Natural Resources Research, 2021 - Springer
Minerals and metals are of uttermost importance in our society, and mineral resources on
and beneath the deep ocean floor represent a huge potential. Deciding whether mining from …

A role for data richness map** in exploration decision making

ARA Aitken, SA Occhipinti, MD Lindsay, A Trench - Ore Geology Reviews, 2018 - Elsevier
Exploration programs involve long, multi-branched decision pathways with many potential
outcomes from a single starting point. Critical decisions along this pathway include the …