Knowledge Portal

Our knowledge portal contains technical documents, blog posts, webinars and more.
Paper

Leveraging geological logging as pathfinders and proxies in machine learning resource and geometallurgical modelling

English
The authors present and test a pathfinder screening algorithm (PSA) that can be used to identify which logging data is useful for ML modelling.
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Technical Paper

Precise Domaining of Carbonate Quartz Vein Structures Using Deep Learning and Novel Pattern-Matching Filters

English
Stratum presents a paper about our neural network-based machine learning system and its application at the Jundee orogenic gold deposit, Yandal belt in Western Australia
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Technical Poster

Interpreting Machine Learning ML Neural Network Patterns

English
How statistically significant non-linear correlated elements are used as direct inputs to the resource model to assist the target element’s grade prediction of every block.
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Technical Paper

Introducing deep learning and interpreting the patterns – a mineral deposit perspective

English
Preliminary results from the mineral resource modelling study of the Jundee orogenic gold deposit, Yandal belt/gold province, Western Australia
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Abstract

Predicting Clusters of Gold Mineralization Using Assay Data of Varying Density and ML

English
An overview of how to predict clusters of gold mineralization outside of resource model domains using assay data of varying density and machine learning techniques.
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Technical Write-Up

Stratum Machine Learning

English
This document covers an overview of the technical problem of mining and the AI solution.
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Technical Write-Up

Mining Environmental Impact Metrics

English
An overview of the environmental impact metrics used by the mining industry and with our technology. It examines three ways environmental impact is monitored and measured.
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Conference
English

SEG 2024

September 27, 2024
Windhoek, Namibia

The team at Stratum presents a case study that highlights the application of Machine Learning (ML) to model Field Strength (FS) and Rock Quality Designation (RQD) in an open-pit, low-sulfidation epithermal gold deposit located in the tropical Southwest Wau Graben, Papua New Guinea.

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Conference
English

AusIMM 2024

May 7, 2024
Perth, Australia

David First at StratumAI speaks about the benefits, limitations & pre-screening techniques of leveraging geological logging as pathfinders and proxies in ML resource and geometallurgical modelling

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Conference
English

26th World Mining Congress

June 26, 2023
Brisbane, Australia

David First, Chief Geologist at Stratum speaks about finding 83MT more mineralization without increasing dilution at the Jundee orogenic gold deposit, Yandal belt in Western Australia

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Conference
English

AusIMM Mineral Resource Estimation Conference 2023

May 24, 2023
Perth, Australia

David First, Chief Geologist at Stratum, speaks about preliminary results from the mineral resource modelling study of the Jundee orogenic gold deposit, Yandal belt in Western Australia.

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Conference
Spanish

PERUMIN 2022: Foro TIS - Innovación y Tecnología

September 27, 2022
Peru

Join our co-founder Farzi Yusufali in a roundtable panel on research and technology, where she talks about successes that StratumAI have achieved in the past years.

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Conference
English

SEG 100 2021

September 14, 2021
Whistler, Canada

The annual SEG conference will showcase the new science and thinking that will benefit society in the future, framed by the understanding of the scientific accomplishments in economic geology and mineral discoveries over the last 100 years.

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Webinar
Spanish

PERUMIN 2021: Artificial Intelligence in Mining

June 8, 2021
Online

How has innovation and artificial intelligence changed mining processes? What are the common challenges mining companies face in implementing these changes?

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Webinar
English

MSTA CANADA: The Mining Industry Transformed

March 11, 2021
Online

Over the past 5 years, geoscience has drastically changed. The industry is collecting data in new ways, using artificial intelligence to improve our understanding of ore bodies, and using this information to refine our exploration programs.

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SEG 2024 Poster

ML Modelling of Field Strength and RQD to Interpret Potentially Poor Ground Conditions in Epithermal Gold Deposit

English
Farzi Yusufali
This case study presents the application of Machine Learning (ML) to model Field Strength (FS) and Rock Quality Designation (RQD) in an open-pit, low-sulfidation epithermal gold deposit located in the tropical Southwest Wau Graben, Papua New Guinea.
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AusIMM 2024

Leveraging geological logging as pathfinders and proxies in machine learning resource and geometallurgical modelling

English
David First
David First at StratumAI speaks about the benefits, limitations & pre-screening techniques of leveraging geological logging as pathfinders and proxies in ML resource and geometallurgical modelling
View More
World Mining Congress 2023

Precise Domaining of Carbonate-Quartz Vein Structures Using Deep Learning

English
David First
David First, Chief Geologist, speaks about finding 83MT more mineralization without increasing dilution at the Jundee orogenic gold deposit, Yandal belt in Western Australia
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Exploration Manager's Conference 2023

Introducing Deep Learning & Interpreting the Patterns: An Orebody Knowledge Perspective

English
David First
Presentation of Stratum's deep learning technology and its impacts at a Northern Chile mine.
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AusIMM 2023

Introducing Deep Learning & Interpreting the Patterns: A Mineral Deposit Perspective

English
David First
David First, Chief Geologist at Stratum, speaks about preliminary results from the mineral resource modelling study of the Jundee orogenic gold deposit, Yandal belt in Western Australia.
View More