Gamma Ray Lithofacies Estimation for Deep-Sea Rare Earth Resources

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Solution Overview

Problem

Current technologies lack effective methods for estimating and forecasting rare earth mineral resources in deep-sea sediments, which is crucial for reducing exploration time and costs in high-tech industries.

Innovation Solution

A system and method utilizing natural gamma ray data to classify rare earth lithofacies and estimate resource quantities in deep-sea sediments, involving data collection, normalization, shale volume correction, and linear regression modeling to generate accurate estimates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional exploration methods are used to estimate rare earth resources in deep-sea sediments, then measurement precision may be adequate, but exploration time and costs increase significantly

Engineering Contradiction:
Improverare earth resource estimation accuracyVSAvoidexploration time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent replaces traditional mechanical drilling and physical sampling methods with gamma ray spectroscopy measurement. The gamma ray measurement system detects natural gamma radiation from radioactive elements (uranium, thorium, potassium) in sediments, enabling non-intrusive, rapid estimation of rare earth resources without time-consuming core sampling and laboratory analysis.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent uses gamma ray measurements as an intermediary indicator to estimate rare earth resources. Instead of directly measuring rare earth elements, the system measures gamma radiation from associated radioactive elements (particularly thorium and uranium) that occur together with rare earths in monazite and other minerals, providing indirect but efficient resource estimation.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If traditional exploration methods are used to estimate rare earth resources, then measurement precision may be adequate, but exploration costs increase significantly

Engineering Contradiction:
Improverare earth resource estimation accuracyVSAvoidexploration cost
Core Design Contradiction:
Measurement precisionVSLoss of energy

Solution Approach 1:

The patent replaces expensive mechanical drilling, core retrieval, and laboratory analysis operations with inexpensive gamma ray spectroscopy measurements. The gamma ray system can be deployed on existing vessels or platforms, eliminating the need for costly core sampling campaigns and laboratory processing while maintaining adequate estimation accuracy.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent utilizes the natural gamma radiation emitted by radioactive elements in the sediments themselves as the measurement source. No external energy input, sample preparation, or laboratory equipment is needed - the sediments provide their own signal, making the measurement process self-sufficient and cost-effective.

Inventive Principle:
Principle #25Self-service

3Productivity

If gamma ray data is used to estimate rare earth resources, then exploration speed increases, but measurement precision may be affected by clay content variations

Engineering Contradiction:
Improveexploration speedVSAvoidrare earth resource estimation accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent applies different interpretation approaches based on local sediment characteristics. When clay content is high (indicating high gamma ray values), the system adjusts its estimation model to account for the clay-gamma ray relationship, distinguishing between gamma rays from clay minerals versus gamma rays from radioactive elements associated with rare earths. This localized adjustment maintains accuracy across different sediment types.

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent transforms the gamma ray measurement parameter by using it to estimate shale volume (clay content) first, then applying correction factors or alternative models based on the calculated clay proportion. This parameter transformation allows the system to differentiate between gamma ray sources and maintain accurate rare earth estimates despite variations in clay content.

Inventive Principle:
Principle #35Parameter changes

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

This approach enables low-cost, fast, and effective identification of rare earth lithofacies and resource estimation, preserving the natural state of sediments and providing quick predictions for decision-making in exploration operations.

Implementation Method 1

the gamma ray lithofacies is a technique for measuring natural gamma rays (NGR) emitted naturally from sediments or rocks. These natural gamma ray emissions are caused by the decay of potassium (K), thorium (Th), and uranium (U).

Methodology Applied
Scientific EffectGamma radiation emission: Radioactive Decay

Data Source

PatentUS20250130346A1System and method for estimating rare earth resources in deep-sea sediments using gamma rays
Publication Date: 2025.04.24 KOREA INSTITUTE OF GEOSCIENCE AND MINERAL RESOURCES
  • US20250130346A1 patent drawing
  • US20250130346A1 patent drawing
  • US20250130346A1 patent drawing

AI summary

The purpose of the present disclosure is to provide a system and a method for identifying lithofacies classification information of rare earths in deep-sea sediments using the natural gamma ray data, as well as for estimating rare earth resource quantities in the deep-sea sediments. An aspect of the present disclosure provides a system for estimating rare earth resource quantities in deep-sea sediments using gamma rays, the system comprising: a data collecting unit configured to collect gamma ray data about deep-sea sediments; a data processing unit configured to normalize and process the gamma ray data collected by the data collecting unit; and an estimation modeling unit configured to generate a model for estimating a rare earth lithofacies classification information and the rare earth resource quantities using a linear regression based on the gamma ray data normalized by the data processing unit.