This study focuses on the grade estimation for a hydrothermal altered underground gold deposit in Shandong Province, China. First, the 3D geological model of the deposit was constructed implicitly using the drillhole data and geological maps, while the orebody enveloping surface was built explicitly through the cross sections and vertical sections. Then, within the mineralized alteration domain, the grade estimation was performed using the Ordinary Kriging (OK) and Sequential Gaussian Simulation (SGS). The key steps consist of data exploratory analysis, variogram modeling, Ordinary Kriging estimation, Sequential Gaussian simulation and model validation. For the model validation, the cross-validation was used to assess the parameters of the variogram models and the neighborhood searching, while the global statistics and the variogram of the realizations were compared to those of the original data to check the reproduce. Compared to the explicit orebody model, the kriging estimates present a more precise spatial distribution of the mineralization, and the simulated realizations provide the probability of the ore occurrence. The both models are reliable and valuable to the mining industry.

Liu, X., Kasmaeeyazdi, S., Tinti, F., Wang, G. (2025). 3D Geological Modeling and Grade Estimation for a Gold Deposit in Shandong Province, China. REVISTA MINELOR, 31(2), 1-7 [10.2478/minrv-2025-0011].

3D Geological Modeling and Grade Estimation for a Gold Deposit in Shandong Province, China

Kasmaeeyazdi, Sara;Tinti, Francesco;
2025

Abstract

This study focuses on the grade estimation for a hydrothermal altered underground gold deposit in Shandong Province, China. First, the 3D geological model of the deposit was constructed implicitly using the drillhole data and geological maps, while the orebody enveloping surface was built explicitly through the cross sections and vertical sections. Then, within the mineralized alteration domain, the grade estimation was performed using the Ordinary Kriging (OK) and Sequential Gaussian Simulation (SGS). The key steps consist of data exploratory analysis, variogram modeling, Ordinary Kriging estimation, Sequential Gaussian simulation and model validation. For the model validation, the cross-validation was used to assess the parameters of the variogram models and the neighborhood searching, while the global statistics and the variogram of the realizations were compared to those of the original data to check the reproduce. Compared to the explicit orebody model, the kriging estimates present a more precise spatial distribution of the mineralization, and the simulated realizations provide the probability of the ore occurrence. The both models are reliable and valuable to the mining industry.
2025
Liu, X., Kasmaeeyazdi, S., Tinti, F., Wang, G. (2025). 3D Geological Modeling and Grade Estimation for a Gold Deposit in Shandong Province, China. REVISTA MINELOR, 31(2), 1-7 [10.2478/minrv-2025-0011].
Liu, Xiaoning; Kasmaeeyazdi, Sara; Tinti, Francesco; Wang, Gongwen
File in questo prodotto:
File Dimensione Formato  
3D-Geological-Modeling-and-Grade-Estimation-for-a-Gold-Deposit-in-Shandong-Province,-China.pdf

accesso aperto

Descrizione: Paper
Tipo: Versione (PDF) editoriale / Version Of Record
Licenza: Licenza per Accesso Aperto. Creative Commons Attribuzione - Condividi allo stesso modo (CCBYSA)
Dimensione 1.4 MB
Formato Adobe PDF
1.4 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/1019656
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact