Correlation of rock characteristics to gold content in the Honje Formation and Cipacar Formation, Pandeglang, Banten

• Published in: IOP conference series. Materials Science and Engineering 2020-04, Vol.830 (4), p.42038
• Main Authors: Usman, D N, Sulaksana, N, Hirnawan, F, Haryanto, I, Widayati, S, Sriyanti, S, Pulungan, L
• Format: Article
• Language: English
• Subjects: Chemical composition; Data analysis; Data collection; Data processing; Deposits; Geological mapping; Gold; Mineralization; Mineralogy; Normality; Silver
• ISSN: 1757-8981; 1757-899X
• DOI: 10.1088/1757-899X/830/4/042038

Gold deposits are economic deposits, the formation of gold deposits in nature is one of them epithermal gold deposits in the Au-Ag mineralized zone. Gold mineralization is influenced by a hydrothermal solution that flows through rock permeability, resulting in an alteration process that changes the chemical composition, mineralogy, and texture of the original rock. One variable that affects the presence of veins carrying valuable ore minerals is fracture structure. This study aims to determine and analyse the relationship /correlation of rock solids to the level of gold deposits using the correlation regression method. The methodology used is massive data collection through geological mapping, log-drill data analysis, Data Assay analysis, data processing and analysis assisted by using correlation regression through validation and verification of drill data. The results of processing and analysis of muscular data notified by the RQD value and log-drill data obtained the results of multivariate normality test based on the Au model = 8,219-2761 RQD and Ag = 90,388 + 0.977 RQD as follows: 1) When the RQD is zero, then the Au will be valued amounting to 8,219. However, when the RQD increases by 1 unit, the Au will decrease by 2,761. 2) When the RQD is zero, then Ag will be worth 90,388. However, when the RQD rises by 1 unit, then Ag will rise by 0.977. Then the Meaning Mean Test is performed where the result H0 is Received, with the understanding that there is a significant relationship between RQD on Au-Ag levels, understanding that the change in thickness of a thicker ore is followed by an increase in the higher Au level, tcount = 0.382 and the significance is 0.703. The understanding is that Au levels are correlated with the presence and presence of hefty that is notified by RQD.