Database Management and Quality Assurance is Key of Success in Exploration

Abstract

Exploration is the risky part in the mining business stage. The final goal of exploration is to discover an economic deposit in the certain area; generally by using the three main stages of exploration which are to find, to prove and then to evaluate the presence of minerals deposit. All the three tasks are required the exploration database which is commonly consisting of spatial information of raster, vector and point data. The different type of data is required different data handling as well as data storage system.To reduce the risk, exploration should be done phase by phase. Commonly every single phase of exploration have different propose, method and data collected. Understanding of the exploration business processes, activities and what kind of the data collected and/or required for every stage is important to design and improve the database system itself. In addition, the growing of information technology and computers science, and the increase of data exploration itself; the exploration evaluation will rely more on digital data processing. Database management and quality assurance awareness is critical to build the solid and correct exploration information for further analysis and evaluation of every exploration stages. The database is the primary input to create decision for further exploration stages.