基于动态注意力权重的沉积环境与成矿潜力协同评估方法

CN122414865APending Publication Date: 2026-07-17SICHUAN PROVINCIAL INST OF COMPREHENSIVE GEOLOGICAL SURVEY & RES

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SICHUAN PROVINCIAL INST OF COMPREHENSIVE GEOLOGICAL SURVEY & RES
Filing Date
2026-04-22
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing technologies rely on a single dimension to assess the mineralization potential of sedimentary environments, resulting in insufficient accuracy of the assessment results.

Method used

A dynamic attention weight-based method is used to process the environmental and compositional data of rock and mineral samples. Through the dynamic attention weight associated with the attention mechanism, the mineralization grade characteristics of the sedimentary environment are extracted, and a collaborative evaluation is carried out based on this.

Benefits of technology

It improves the comprehensiveness and accuracy of mineralization potential assessment in sedimentary environments, overcomes the problem of insufficient accuracy caused by relying on fixed thresholds, and achieves comprehensive and multi-faceted assessment.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122414865A_ABST
    Figure CN122414865A_ABST
Patent Text Reader

Abstract

本申请涉及智能化矿产资源勘探技术领域,公开了一种基于动态注意力权重的沉积环境与成矿潜力协同评估方法,包括:对从所述沉积环境中采集得到的岩矿样品进行分析,得到岩矿状态数据;所述岩矿状态数据包括所述岩矿样品关联的环境状态数据以及成分状态数据;基于注意力机制关联的动态注意力权重,对所述成分状态数据进行处理,得到所述沉积环境的成矿等级特征;其中,所述动态注意力权重至少与所述环境状态数据关联;基于所述环境状态数据以及所述成矿等级特征,确定所述沉积环境的沉积等级特征;基于所述成矿等级特征以及所述沉积等级特征,对所述沉积环境的成矿潜力程度进行协同评估。本方案能够提高成矿潜力程度评估的全面性和精准度。
Need to check novelty before this filing date? Find Prior Art