Going beyond just asking the laboratory for geochemical extracting information of a gold test by sampling every meter of the drill core of a trench and using multielement analysis is an approach strongly recommended by most mining specialists. There exist other methods of geochemical data analysis techniques and obtaining geochemical extracting information, but these are largely ignored by the industry.
Making sense of the geochemical extracting information
How to make sense of the geochemical extracting information is the core of a webinar that is being organized by GlobalCompliancePanel, a well-known provider of professional trainings for all the areas of regulatory compliance. The speaker, Ricardo Valls, is a professional geologist with thirty years in the mining industry. With extensive geological, geochemical, and mining experience, managerial skills, research techniques, and training; he has carried out various projects globally.
To know more about how to gain knowledge of geochemical extracting information, just visit http://www.globalcompliancepanel.com/control/globalseminars/~product_id=900826SEMINAR to register.
An understanding of all types of analyses
Richard will give participants an understanding of all the types of analyses that can be requested to help them in their exploration goal –that of finding the new ore body. He will help mining professionals who need to make important decisions on where to drill or how to manage their exploration budget. The speaker will also offer an understanding of how to extract all the important information of data, including the use of compositional data analysis.
In this webinar, which will be highly educative for a number of professionals in mining, such as Senior Geologists, Geochemists, Exploration personnel, Laboratory personnel, Managers, graduate students, postgraduate students and QA&QC personal; Richard will cover the following areas:
- How to determine the type of sampling
- How to determine the type of assays
- General processing of the data
- Compositional Data Analysis
- Representing the results.