Mineralizing case reasoning model and method

A case and mineralization technology, applied in the field of resource information, can solve the problem of lack of intelligent reasoning function of multi-source massive geological space data

Inactive Publication Date: 2011-11-16
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF0 Cites 17 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The purpose of the present invention is to propose a fast, efficient and intelligent method for making full use of massive multi-source geological space data in view of the problems that existing regional mineralization prediction methods fail to efficiently utilize existing multi-source massive geological space data and lack intelligent reasoning functions. A new method of regional metallogenic prediction, including: expression of metallogenic cases, construction of metallogenic case library and retrieval of metallogenic cases ( figure 1 )

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Mineralizing case reasoning model and method
  • Mineralizing case reasoning model and method
  • Mineralizing case reasoning model and method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0023] In order to better understand the technical solution of the present invention, specific examples are provided below by taking the East Kunlun area of ​​Qinghai, an important metallogenic belt in western China, as an example.

[0024] First, the proximity analysis in the weight of evidence model is used to determine the best ore-controlling variables and threshold selection. Based on the correlation test of the selected evidence variables, the experiment selected vector layers such as strata, unconformity contacts, faults, regional geochemistry, remote sensing alteration information, Bouguer gravity, aeromagnetism, and mineral points. Before constructing a specific metallogenic case, first divide the study area into a grid: 1km×1km, and then divide strata, unconformity contacts, faults, regional geochemistry, remote sensing alteration, Bouguer gravity, aeromagnetism, ore points, etc. The layers are spatially linked with the grid polygon layer one by one, so that each gri...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention relates to a novel intelligent region mineralizing prediction method, namely a mineralizing case reasoning model and method and belongs to the field of resource information processing. In the invention, multi-source massive geology space data (such as basic geological data, geophysical data, geochemical data, remote sensing data and the like) are fully utilized, and the traditional mineral prediction idea is broken through, so that a rapid, high-efficiency and intelligent mineral prediction method is established so as to rapidly and efficiently predict regional mineral resource potential with high accuracy. The method comprises the following three main steps: mineralizing case expression, mineralizing case database construction and mineralizing case searching. By using the method, the regional mineral resource potential can be subjected to quantitative forecasting and evaluation more efficiently and objectively, thereby reducing the mineral exploration cost and further improving the efficiency and accuracy of mineral prediction.

Description

technical field [0001] The invention relates to a new intelligent regional mineralization prediction method, which belongs to the technical field of resource information. Background technique [0002] How to make full use of the existing massive geological space data, carry out information extraction and information synthesis, break through the traditional mineral forecasting ideas, and establish a fast, efficient and intelligent mineral forecasting method, thereby reducing the cost of mineral exploration and further improving the efficiency and efficiency of mineral forecasting Accuracy, appears to have great scientific significance and application value. At present, the nationwide geological, geophysical, geochemical and remote sensing prospecting data are increasingly abundant, providing massive basic data for mineral prediction. At the same time, the ore-forming geological conditions and spatial distribution of the same type of ore deposits have strong similarities. The...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G01V9/00
Inventor 何彬彬陈建华陈翠华
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products