Balya-Hastanetepe kurşun-çinko madeninin jeoistatistiksel yöntemlerle değerlendirilmesi

The Balya district is located near in the town of Balya in province of Balıkesir, North-West of Turkey. Dedeman Mining company hold the license of Balya-Hastanetepe where a lot of research studies have made since 2007 and adjacent license hold by Eczacıbasi-Esan company, and also they have been producing lead and zinc ore since 2009. Dedeman is one of the major mining companies operating in Turkey; their main target is chromite and lead-zinc ores, exporting specific concentrates worldwide. Dedeman initially started their mining operations in 1947 producing chromite ore in Kayseri-Pınarbaşı. Although exploration studies have been proceeded at the site for advance drilling works, this study is prepared by considering 184 diamond drill holes that area ready for the evaluation for present. So far, over 33,000 m of core drilling has been carried out outlining the mineralization over a target area of Hastanetepe Hill. On the other hand, this study with its largest database is one of the important exploration evaluation study for the ore deposit area. Database validation, drill holes log photos, core boxes, sample results and all of the data related to drill holes examined as a preliminary studies. In addition, field visit was made with authorized personnel in Dedeman Mining Company. After data validation studies, 3-dimensional ore body modelling, geostatistical evaluation, block modelling and grade estimation studies were made respectively. This study mainly covers geostatistics evaluation and resource estimation for the mine. Two different programs were used, one of them is SGeMS (The Stanford Geostatistical Modelling Software) produced and developed by Stanford university for geostatistical evaluation and the other one is one of the most popular geology and mine planning software named Surpac were used for ore modelling, block modelling and grade estimation. The variograms determined from the SGeMS software are used for evaluating the results determined from the Surpac software geostatistical interface. Only variograms determined from Surpac geostatistical module is presented in this thesis in order to avoid the mass use of variogram determined from the other geostatistical software. Total volume of the solid model created in this study is 1,503,167 m3. Geostatistical investigations were then initiated to determine the reserve and grade estimations. Statistical analyses were firstly carried out to understand the distribution behaviour of the variables that are lead (Pb), zinc (Zn) and silver (Ag). According to the statistical evaluations, geostatistical investigations were then initiated. Firstly raw data were used to determine the best available estimations from kriging. However due to the low correlations between actual and estimated values for each regionalized variables (ReVs), 1 m composite data applied to the transformed data for each ReVs were used in geostatistical applications. In order to make 3 dimensional estimations, which is the most important innovative section of this study, search ellipsoid were used to make geostatistical estimations. Optimizations were also applied to obtain highly correlated actual and estimated values from cross validations, hence optimized search ellipsiods dimensions were determined. After that ordinary kriging method is applied to estimate the ReVs magnitude for unsampled points in the study area. Hence, distribution maps for each ReVs are then determined for the study area that shows the magnitude for each desired locations 3 dimensionally. Finally, reserve and grade relations are obtained to demonstrate reserve quality of the ore deposit that is vital for ore body validation as well as mine planning. This study will be a good application especially for metalliferious ore bodies to evaluate the reserve quality and quantity based on 3 dimensional geostatistical approaches.