United StatesEnergy and utilities2024 – ongoingIvanhoe Electric
Machine-learning inversion of Typhoon survey data to refine drill targets at Tintic
Ivanhoe Electric reprocessed Tintic survey data with its subsidiary's machine-learning software to refine drill targets
Problem
Ivanhoe Electric explores the Tintic copper-gold-silver project in Utah with its Typhoon geophysical system. Turning survey data into clear three-dimensional models took time, and noisy input data limited their quality.
Approach
Computational Geosciences Inc. (CGI), 94% owned by Ivanhoe Electric, reprocessed the 2019 Tintic Typhoon data with its latest machine-learning software. The software handles more data, shortens processing time and improves signal-to-noise ratio. The company then began testing refined targets near the Mammoth mine, including Deep Mammoth with diamond drilling.
Results
No published figures
Takeaway
The company said the new inversion matched its existing exploration strategy and showed an extra response at depth. It gave no time or cost figures, and drill results were pending.
Categories
- Industry
- Energy and utilities
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Built in-house
- Evidence
- Company's own claim
Sources
Source summaries
Ivanhoe Electric's release says CGI's machine-learning software reprocessed the 2019 Tintic Typhoon data. It reports faster inversion delivery, improved 3D models and an added chargeable and conductive response at depth below the Mammoth and Grand Central mines. It gives no quantified savings.
Full details are in the original sources.