Advanced Analytics for Mine Exploration


Due to the decrease in commodity prices in a constantly dynamic environment, there has been a constant urge to maximize benefits and attain value from limited resources. Traditional empirical and numerical simulation techniques have failed to provide comprehensive, optimized solutions in little time. Coupled with the immense volumes of data generated on a daily basis, a solution to tackle industry challenges became imminent. Various expert opinion fraught with bias has posed extra challenges to obtain timely, cost-effective solutions. Data Analytics has provided substantial contributions to several sectors. This chapter presents a review of various advanced data analytics and Machine Learning applications in mining exploration.


  • Introduction to Exploration
  • Geological Features and Genetic Models of Mineral Deposits
  • Minerals Prospecting and Exploration
  • Geophysics Prospecting
  • Geochemical Prospecting
  • Summary
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Chapter Includes

  • 6 Parts
  • 2 Forms