Data generation for exploration geochemistry: Past, present and future

JE Bourdeau, SE Zhang, GT Nwaila, Y Ghorbani - Applied Geochemistry, 2024 - Elsevier
Geochemical surveys are a cornerstone for data generation in geosciences, facilitating
resource exploration. Geochemical data is essential for identifying mineralized areas …

[HTML][HTML] Deriving big geochemical data from high-resolution remote sensing data via machine learning: Application to a tailing storage facility in the Witwatersrand …

SE Zhang, GT Nwaila, JE Bourdeau, Y Ghorbani… - Artificial Intelligence in …, 2023 - Elsevier
Remote sensing data is a cheap form of surficial geoscientific data, and in terms of veracity,
velocity and volume, can sometimes be considered big data. Its spatial and spectral …

[HTML][HTML] Artificial intelligence-based anomaly detection of the Assen iron deposit in South Africa using remote sensing data from the Landsat-8 Operational Land …

GT Nwaila, SE Zhang, JE Bourdeau, Y Ghorbani… - Artificial Intelligence in …, 2022 - Elsevier
Most known mineral deposits were discovered by accident using expensive, time-
consuming, and knowledge-based methods such as stream sediment geochemical data …

Predictive geochemical exploration: Inferential generation of modern geochemical data, anomaly detection and application to northern Manitoba

JE Bourdeau, SE Zhang, CJM Lawley, M Parsa… - Natural Resources …, 2023 - Springer
Geochemical surveys contain an implicit data lifecycle or pipeline that consists of data
generation (eg, sampling and analysis), data management (eg, quality assurance and …

[HTML][HTML] Advanced geochemical exploration knowledge using machine learning: Prediction of unknown elemental concentrations and operational prioritization of re …

SE Zhang, JE Bourdeau, GT Nwaila… - Artificial Intelligence in …, 2022 - Elsevier
In exploration geochemistry, advances in the detection limit, breadth of elements analyze-
able, accuracy and precision of analytical instruments have motivated the re-analysis of …

Machine learning-based delineation of geodomain boundaries: A proof-of-concept study using data from the Witwatersrand Goldfields

SE Zhang, GT Nwaila, JE Bourdeau… - Natural Resources …, 2023 - Springer
Abstract Machine-aided geological interpretation provides an opportunity for rapid and data-
driven decision-making. In disciplines such as geostatistics, the integration of machine …

Denoising of Geochemical Data using Deep Learning–Implications for Regional Surveys

SE Zhang, JE Bourdeau, GT Nwaila, M Parsa… - Natural Resources …, 2024 - Springer
Regional geochemical surveys generate large amounts of data that can be used for a
number of purposes such as to guide mineral exploration. Modern surveys are typically …

Masked Autoregressive Flow for Geochemical Anomaly Detection with Application to Li–Cs–Ta Pegmatites Exploration of the Superior Craton, Canada

C Scheidt, L Mathieu, Z Yin, L Wang… - Natural Resources …, 2025 - Springer
In mineral exploration, geochemical anomaly detection aims at identifying areas where
geochemical properties differ from the surrounding areas, indicating possible mineralization …

[HTML][HTML] Big geochemical data through remote sensing for dynamic mineral resource monitoring in tailing storage facilities

SE Zhang, GT Nwaila, S Agard, JE Bourdeau… - Artificial Intelligence in …, 2023 - Elsevier
Evolution in geoscientific data provides the mineral industry with new opportunities. A
direction of geochemical data generation evolution is towards big data to meet the demands …

[書籍][B] Regional-scale lake-sediment sampling and analytical protocols with examples from the Geological Survey of Canada/JE Bourdeau and RD Dyer.

JE Bourdeau - 2023 - policycommons.net
" Regional-scale lake sediment surveys have been successfully used since the 1970s as a
means for reconnaissance geochemical exploration. Lake sediment sampling is typically …