System and method for predicting rare earth resource abundance in deep-sea sediments using gamma rays
JP7828412B2Active Publication Date: 2026-03-11KOREA INSTITUTE OF GEOSCIENCE AND MINERAL RESOURCES
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2024-10-11
- Publication Date
- 2026-03-11
AI Technical Summary
Technical Problem
Current technologies lack the ability to effectively estimate and predict the amount of rare earth mineral resources in deep-sea sediments using natural gamma ray data.
Method used
A system and method that utilizes natural gamma ray data collection, normalization, shale volume correction using XRD data, and predictive modeling through linear regression to classify rare earth lithology and predict resource amounts in deep-sea sediments.
Benefits of technology
Enables accurate and cost-effective prediction of rare earth resource amounts in deep-sea sediments without damaging the sediments, utilizing existing data collection systems, and providing fast decision-making in exploration work.
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Abstract
To provide a system and a method, capable of not only confirming segmentation information for a rare earth rock phase of deep sea deposits by using natural gamma ray data, but predicting a rare earth resource amount.SOLUTION: A prediction system for a rare earth resource amount of deep sea deposits by using a gamma ray, includes: a data collection unit that collects gamma ray data for the deep sea deposits; a data processing unit that normalizes the gamma ray data collected by the data collection unit to process the resulting data; and a prediction modeling unit that generates a model for predicting segmentation information for a rare earth rock phase and the rare earth resource amount according to a linear regression method by using the data normalized by the data processing unit.SELECTED DRAWING: Figure 1
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Citation Information
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