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