Russell Menezes

Beyond Quartz And Pyrite - How AI is Learning Hidden Ore Signatures From Geological Data

Can the algorithms used for retail market basket analysis discover the next Tier-1 mineral deposit? We processed unstructured text from 2,000 global deposits to see if AI could independently learn the rules of economic geology, mapping hidden alteration vectors in a fully interactive 3D network.

Australian Mining Tenement Intelligence: Q1 2026 Review & Spatial Analysis

Date: 25 March 2026Scope: National Australia Mining TenementsClassification: Commercial / Competitor Intelligence

The Unadvertised Garage Sale: Mining M&A Targets at PDAC 2026

RadiXplore Strategic Asset Index (SAI) Analysis of 1,734 Projects

AI-Driven Porphyry Copper Exploration: Applying the Mineral Systems Framework to Historical Geological Data

What if the next #porphyry discovery is already described in a 1980s report-just not recognized? If you're reading this, you likely saw my recent LinkedIn post and wanted to see exactly how we are reconstructing geological memory. Welcome!

Unlocking Hidden Value at RIU Explorers 2026: Data-Driven M&A and Portfolio Strategy

As the mining industry gathers in Fremantle for the RIU Explorers Conference, the prevailing narratives are rightly focused on discovery and the record-breaking gold price. However, beneath the polished presentations and drilling highlights, the data reveals a secondary, equally powerful story:...

Finding Orphaned Uranium Deposits in Western Australia Using AI‑Powered Geological Search

Western Australia hosts some of the world's most prospective uranium systems, particularly palaeochannel‑ and calcrete‑hosted deposits formed in arid, near‑surface environments. Yet many of these systems remain unexplored - not because they lack geological potential, but because uranium was his...

Ghosts in the Machine - Mining the Near-Misses: How Saudi Arabia's NGD Legacy Data Is Pointing to the Next Generation of Discoveries

Saudi Arabia has one of the most ambitious mineral strategies in the world.Critical minerals, national-scale geological datasets, and a clear mandate to accelerate discovery.

Mining Projects Are Trending - and It's Not on TikTok: The Data Behind ASX Exploration Momentum

Our journey began with a powerful but fundamentally static asset: a comprehensive database of over 5,000 mining projects owned by publicly listed companies. This dataset is a rich tapestry of information, detailing everything from project names and locations to commodities, development status, ...

500 Tenement Changes in 5 Weeks: What’s Really Happening in Western Australia’s Exploration Scene - October 2025 Analysis

The Western Australian exploration scene is in constant motion. Every week, hundreds of tenements are applied for, granted, or surrendered, creating a complex and dynamic puzzle. For explorers, investors, and service providers, staying ahead of these shifts isn't just an advantage—it's essentia...

Finding Mining Projects Before They’re Listed: An AI Data-Driven Approach

When speaking with mining juniors recently about their search for gold projects, I was reminded of a conversation with a close friend looking to buy a house in Sydney. The properties they found online looked promising—yet every time they attended an open home, wealthy investors had already swoo...

The Great Mining Reshuffling: What 643 Projects at Diggers & Dealers 2025 Reveal About the Industry's Strategic Future

How data from Australia's premier mining conference exposes a sector at the crossroads of tradition and transformation

When AI Meets 100,000 Geologists: Turning Hidden Clues into Mineral Targets

In Part 1, we explored a high-resolution geochemical workflow using Saudi Arabia’s GCAS stream sediment dataset to extract mineral exploration insights. This dataset, which includes trace elements such as gold (Au), copper (Cu), and arsenic (As) from tens of thousands of samples, underwent a st...

From Outliers to Opportunity: Inferring New Mineral Targets with AI, RGP GCAS Data and Saudi MODS

Saudi Arabia is undergoing a geoscientific transformation through its Regional Geological Survey Program (RGP)—a cornerstone initiative led by the Saudi Geological Survey (SGS) to support the Kingdom’s Vision 2030. At the heart of this effort is the Geochemical Survey for the Arabian Shield (GC...

A Simple Guide to Finding Gold and Mining Data in Saudi Arabia’s Geological Database

Exploring for minerals like gold in Saudi Arabia? You’ve likely come across the National Geological Database (NGD) and the Saudi Geological Survey (SGS) portal. These two connected platforms house massive amounts of geological information—ranging from maps and boreholes to mineral occurrences a...

Unearthing India's Mineral Wealth: A Deep Dive into NGDR Data From Maharashtra

Maharashtra, a state renowned for its diverse and complex geology, holds a wealth of significant mineral resources, absolutely vital for bolstering India's industrial framework and sustained economic growth. The recent, and highly commendable, availability of comprehensive mining and exploratio...

How AI Agents in Mineral Exploration Unlock Potential in Historically 'Failed' Drilling Programs: A Case Study in Data-Driven Exploration

The path to mineral discovery is a challenging yet potentially highly rewarding endeavor, often characterized by years of meticulous geological work, substantial investment, and an element of calculated risk. It's a journey paved with perseverance, constant re-evaluation of complex datasets, an...

Boddington Analogues Revealed: Applying Mineral Systems Thinking to Unstructured Exploration Data with AI

Introduction to the Boddington Gold Mine and Its Significance

AI Uncovers Saudi Arabia's Hidden Porphyry Copper in NGD

Porphyry copper deposits are among the most significant sources of copper worldwide, forming several kilometers below the Earth's surface. They derive their name from the porphyritic texture of the intrusive rocks associated with them. These deposits typically contain disseminated copper minera...

AI-Powered Predictive Modeling for IOCG Deposits: Analyzing Legacy Relinquishment Reports with NLP - PDAC Talk

Predictive modeling is an advanced technique that employs machine learning algorithms, statistical methods, and mathematical frameworks to forecast the presence of mineral deposits in unexplored areas. By analyzing patterns in existing datasets—such as geophysical surveys, geological maps, and ...

Unlock Copper Deposits Faster with AI-Powered Word Associations and Text Analytics for Mineral Exploration

As the demand for critical minerals like copper continues to rise in the green energy transition, geologists are increasingly leveraging advanced tools to extract valuable insights from large datasets. One such breakthrough is text analytics, which transforms unstructured geological reports int...

Unlocking the Potential of Mississippi Valley-Type (MVT) Mineral Deposits: How AI Analyzes Unstructured Geological Data for Enhanced Exploration

Mississippi Valley-type (MVT) mineral deposits are a vital source of lead and zinc ores, commonly found in carbonate rocks such as limestone and dolomite. These deposits are formed through the deposition of minerals from hydrothermal fluids, and their unique characteristics make them significan...

AI-Driven Graphite Exploration in Saudi Using NGD Reports

The Saudi Minerals Inventory and Potential Assessment Report is a pivotal 485-page document offering an in-depth understanding of Saudi Arabia's mineral resources. This report, prepared in 2016 by the Ministry of Petroleum and Mineral Resources (now the Ministry of Industry and Mineral Resource...

Learnings from the APGCE Geohackathon 2024: Using AI to Identify Faults in 2D Seismic Images

This year marked my third time participating in the APGCE Geohackathon, an event I eagerly anticipate. What sets this hackathon apart is its unique focus—it's one of the few in-person machine learning competitions in the Asia-Pacific region dedicated to tackling challenges in the oil and gas se...

Could RadiXplore’s AI Have Discovered the Highland Valley Porphyry Copper Deposit in the 1980s?

Porphyry copper deposits are among the most critical sources of copper globally, particularly in British Columbia. Known for their substantial size and economic importance, these deposits have been a cornerstone of copper production in the province for decades.

Unlocking British Columbia's ARIS Reports: RadiXplore's New AI Tool for Discovering Porphyry Copper Deposits

ARIS (Assessment Report Indexing System) is a database maintained by the British Columbia Geological Survey (BCGS) that contains technical assessment reports related to mineral exploration and development activities within the province. These reports are filed by the exploration and mining indu...