Evaluation method of ore grade estimation effectiveness

被引:0
|
作者
Liu, Zhan-Ning [1 ]
Lu, Chuan-Lei [2 ]
Tian, Rui [1 ]
Deng, Yang-Yang [1 ]
Liu, Zhan-Hui [2 ]
Zhang, Peng-Wei [1 ]
机构
[1] Anyang Inst Technol, Anyang 455000, Henan, Peoples R China
[2] China Geol Survey, Harbin Nat Resources Comprehens Invest Ctr, Harbin, Heilongjiang, Peoples R China
来源
PLOS ONE | 2024年 / 19卷 / 09期
关键词
D O I
10.1371/journal.pone.0309696
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
This study proposes a new method to evaluate the effectiveness of orebody grade estimations, drawing upon the analysis of existing evaluation methods for grade estimation. This new approach addresses factors such as uneven sampling and asymmetric estimation range, which are challenging to overcome with existing evaluation techniques. The core principle of this method involves documenting how frequently individual samples are used during grade estimation and calculating the total distance weights for each sample. Subsequently, the usage frequency and total weight of the samples are standardized, and these standardized values are weighted based on the sample grades. A comparison is made between the weighted sample grades and the estimated grades, with the closeness between the two serving as a metric for assessing the effectiveness of the estimation. This study compares the new evaluation method to the direct comparison and cross-validation methods, examining the effectiveness of grade estimation using the inverse distance weighting (IDW) method. The findings revealed that: (1) The new evaluation method theoretically accounts for the systematic deviation between the statistical measures of estimated and sample grades resulting from uneven sample distribution, offering a fresh approach for enhancing the effectiveness of orebody grade estimation. (2) In the grade estimation of experimental Fe samples, the frequency of usage and the sum of distance weights were unequal. This inequality significantly contributes to the systematic deviation between the estimated and sample grades. (3) Comparing the new evaluation method to others confirms the stability and reliability of the new approach for evaluating the effectiveness of orebody grade estimation. This novel method demonstrates theoretical advantages and practical utility. (4) The deviation between the estimated grades and the statistical results of sample grades is influenced by the distribution pattern of sample grades, the spatial relationship between samples and estimation blocks, and the inherent systematic error associated with the IDW method. This systematic error cannot be overlooked.
引用
收藏
页数:20
相关论文
共 50 条
  • [1] Adaptive ore grade estimation method for the mineral deposit evaluation
    Li, Xiao-li
    Xie, Yu-ling
    Guo, Qian-jin
    Li, Li-hong
    MATHEMATICAL AND COMPUTER MODELLING, 2010, 52 (11-12) : 1947 - 1956
  • [2] Comparative evaluation of neural network learning algorithms for ore grade estimation
    Samanta, B.
    Bandopadhyay, S.
    Ganguli, R.
    MATHEMATICAL GEOLOGY, 2006, 38 (02): : 175 - 197
  • [3] Comparative Evaluation of Neural Network Learning Algorithms for Ore Grade Estimation
    B. Samanta
    S. Bandopadhyay
    R. Ganguli
    Mathematical Geology, 2006, 38 : 175 - 197
  • [4] ORE RESERVE ESTIMATION AND GRADE CONTROL AT BUCHANS
    SWANSON, EA
    CANADIAN MINING AND METALLURGICAL BULLETIN, 1967, 60 (664): : 887 - &
  • [5] ORE RESERVE ESTIMATION AND GRADE CONTROL AT BRUNSWICK
    WELWOOD, RJR
    CANADIAN MINING AND METALLURGICAL BULLETIN, 1967, 60 (664): : 888 - &
  • [6] Study On The Method Based On Rough Sets And Neural Network For The Estimation Of Iron Ore Grade
    Wang, Hongtao
    2010 THE 3RD INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND INDUSTRIAL APPLICATION (PACIIA2010), VOL III, 2010, : 104 - 107
  • [7] The influence of distance weight on the inverse distance weighted method for ore-grade estimation
    Liu, Zhan-Ning
    Yu, Xiao-Yan
    Jia, Li-Feng
    Wang, Yuan-Sheng
    Song, Yu-Chen
    Meng, Hai-Dong
    SCIENTIFIC REPORTS, 2021, 11 (01)
  • [8] The influence of distance weight on the inverse distance weighted method for ore-grade estimation
    Zhan-Ning Liu
    Xiao-Yan Yu
    Li-Feng Jia
    Yuan-Sheng Wang
    Yu-Chen Song
    Hai-Dong Meng
    Scientific Reports, 11
  • [9] Study on the Method Based on Rough Sets and Neural Network for the Estimation of Iron Ore Grade
    Wang, Hongtao
    APPLIED INFORMATICS AND COMMUNICATION, PT III, 2011, 226 : 230 - 238
  • [10] APPLICATIONS OF GEOSTATISTICS IN ORE RESERVE ESTIMATION AND GRADE CONTROL
    CARLIER, PA
    BLAIS, RA
    CANADIAN MINING AND METALLURGICAL BULLETIN, 1967, 60 (664): : 883 - &