CIM Distinguished Lecturer CIM Clifford Stanley

  • Dates:
    Apr 22, 2009
  • Event Type:
    Branch Meeting

Contact Information

Cameron Rennie
cameron@rennieconsulting.com
Event has already ended

As Distinguished Lecturer Clifford R. Stanley will present:
Quality Assessment and Control in Mining and Mineral Exploration: A Modern Day How-to.

Historically, motivations to assess the magnitude of sampling and analysis error in exploration and mining samples were largely driven by exploration geologists seeking knowledge about how far they go with the interpretation of their geochemical data, and mine geologists looking to satisfy banks considering the risk associated with financing of a recently discovered ore deposit. In contrast, in our post-Bre-X world, security exchanges require far more rigorous and onerous analysis of measurement errors, largely because these efforts make detection of fraudulent practice easier to spot. Unfortunately, many of the statistical procedures presently used to undertake such assessments were developed in the pre-computer age and lack the advantages that statistical theory enhancements can offer. Modern statistical procedures afford geoscientists the ability to accurately and precisely assess and control the measurement errors in their geochemical determinations and assays. These new procedures thus offer significant advantages in mining industry applications. In this lecture, the use of these new data quality assessment techniques is described and illustrated in both mineral exploration and mining milieus.

Event Detail

Highlights

As Distinguished Lecturer Clifford R. Stanley will present:
Quality Assessment and Control in Mining and Mineral Exploration: A Modern Day How-to.

Historically, motivations to assess the magnitude of sampling and analysis error in exploration and mining samples were largely driven by exploration geologists seeking knowledge about how far they go with the interpretation of their geochemical data, and mine geologists looking to satisfy banks considering the risk associated with financing of a recently discovered ore deposit. In contrast, in our post-Bre-X world, security exchanges require far more rigorous and onerous analysis of measurement errors, largely because these efforts make detection of fraudulent practice easier to spot. Unfortunately, many of the statistical procedures presently used to undertake such assessments were developed in the pre-computer age and lack the advantages that statistical theory enhancements can offer. Modern statistical procedures afford geoscientists the ability to accurately and precisely assess and control the measurement errors in their geochemical determinations and assays. These new procedures thus offer significant advantages in mining industry applications. In this lecture, the use of these new data quality assessment techniques is described and illustrated in both mineral exploration and mining milieus.