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[HTML][HTML] Uncertainty assessment of spatial domain models in early stage mining projects–A review
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 …
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)
Geological uncertainty quantification is critical to subsurface modeling and prediction, such
as groundwater, oil or gas, and geothermal resources, and needs to be continuously …
as groundwater, oil or gas, and geothermal resources, and needs to be continuously …
Efficacy of information in mineral exploration drilling
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 …
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 …
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 …
discovery and extraction. The use of artificial intelligence and big data has advanced …
Sequential value of information for subsurface exploration drilling
Quantitative methods are needed for systematic decision-making during exploration for
subsurface resources, but few methods exist that fully incorporate the interaction of …
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
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 …
sense of attaining better predictions, often means acquiring additional data. In decision …
The value of information in portfolio problems with dependent projects
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 …
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 …
and beneath the deep ocean floor represent a huge potential. Deciding whether mining from …
A role for data richness map** in exploration decision making
Exploration programs involve long, multi-branched decision pathways with many potential
outcomes from a single starting point. Critical decisions along this pathway include the …
outcomes from a single starting point. Critical decisions along this pathway include the …