National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Syllabus

Course Details

Subject {L-T-P / C} : MN3006 : Mineral Resource Evaluation and Geostatistics { 3-0-0 / 3}

Subject Nature : Theory

Coordinator : Dr. Mahesh Kumar Shriwas

Syllabus

Module 1: Examination of Mineral properties, Mine sampling, estimation of reserves and grades, Impurities and quality control, commercial uses of minerals and ores
Module 2: Mine valuation. Depreciation methods decision trees, Mineral Industry of India National Mineral Policies, conservation, taxation, trading, mining entrepreneurship, Principles of company law, shares and debentures
Module 3: joint stock company and public company partnership business, capital formation, Cost Volume-Profit analysis and break-even analysis, budgetary control, wages and incentives, purchases, stores and inventory control, sales and dispatches.
Module 4: Expectation Spatial Description: Contour maps, Indicator maps, Moving window statistics, Proportional effect, Spatial continuity, h-scatter plots, correlation functions, covariance function and variograms, cross h-scatter plots Random function,
Module 5: From statistics to Geostatistics, Modeling sample variograms, Regionalized variables Global estimation: Polygonal declustering, cell declustering, comparison of declustering methods Point estimation: Polygon, triangulation, inverse distance methods, search neighborhoods Kriging: Ordinary kriging, simple kriging Block Kriging Search strategy cross validation Variance volume relationships, (

Module-wise Course Plan
Module 1: 6 Hrs.
Module 2: 7 Hrs.
Module 3: 7 Hrs.
Module 4: 8 Hrs.
Module 5: 8 Hrs.

Total: 36 Hrs

Course Objectives

  • To familiarize students with the sampling, reserve calculation and mine valuation.
  • To develop analytical skills for resource estimation.
  • To familairaize students with the basic concepts of goestatistics.
  • To understand the point and global methods for natural resource estimation.

Course Outcomes

1. Student will be able to understand the sampling and reserve estimation technique. <br />2. Students will be able to analyze the real mine data for better mine planning and design. <br />3. Students will be able to comprehend different geostatistics techniques for resource estimation.

Essential Reading

  • R. T. Deshmukh, Mineral and Mine Economics, Myra Publ., Nagpur , 1986
  • R. K. Sinha and N. L. Sharma, Mineral Economics, Oxford & IBH Pub., 3rd Ed, , 1970

Supplementary Reading

  • O. P. Khanna, Industrial Engineering and Management, Dhanpat Rai Delhi , 1993
  • R. N. P. Arogyaswamy, Courses in Mining Geology, Oxford and IBH Pub., 2nd Edition