DUBLIN--(BUSINESS WIRE)--Research and Markets has announced the addition of the "Lineament Analysis and Appropriate Sampling and Quality Assurance/Quality Control (QA/QC) Procedures to Help you Find your Next Mine" conference to their offering.
Upon Completing this Course, Participants Should:
- Understand the limitations of the current exploration process
- Learn to use lineament and satellite interpretation as a way to define where to concentrate their exploration efforts
- How to implement QA&QC procedures to guarantee the quality of the collected data
We will introduce you to an effective and affordable methodology that identifies prospective targets which are related to, or controlled by tectonic structures. Even over new areas with limited or nonexistent geological information, we are able to help you concentrate your exploration efforts to keep your budget in the black.
Appropriate sampling and Quality Assurance/Quality Control (QA/QC) procedures are essential in all aspects of the mineral deposit evaluation process to ensure that the best possible confidence in resultant mineral resource and reserve estimates are achieved, as the quality of an estimate is dependent on the quality of the data used.
The Quality Assurance and Quality Control (QA/QC) procedures and protocols are designed to ensure that data collected and created by the company is of a high level of quality and is in compliance with CIM Standards and Guidelines. In practical terms, geological quality control procedures are intended to monitor precision and accuracy of the assay data, as well as possible sample contamination during sample preparation and assaying.
Compliance with the industry-established QA/QC is no longer an option, but a necessity for all the companies to implement, especially those that trade in the markets.
Areas Covered in the Session:
- History of the problem, why we need to change the current approach
- Lineament analysis
- Lineament analysis and satellite interpretation of data
- Physical modeling (3D strain analysis and 3D stress analysis)
- Statistical procedures (Compositional data analysis, correlation analysis, principal component and other methods)
- Defining a QA/QC program, Blanks, duplicates, standards, external controls
- Procedures and audits
- Rock naming in the field
- Conclusions and recommendations
For more information about this conference visit http://www.researchandmarkets.com/research/q5k3x6/lineament