National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

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Syllabus

Course Details

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

Subject Nature : Theory

Coordinator : Mahesh Kumar Shriwas

Syllabus

Module 1 :

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 Objective

1 .

To familiarize students with the sampling, reserve calculation and mine valuation.

2 .

To develop analytical skills for resource estimation.

3 .

To familairaize students with the basic concepts of goestatistics.

4 .

To understand the point and global methods for natural resource estimation.

Course Outcome

1 .

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

Essential Reading

1 .

R. T. Deshmukh, Mineral and Mine Economics, Myra Publ., Nagpur , 1986

2 .

R. K. Sinha and N. L. Sharma, Mineral Economics, Oxford & IBH Pub., 3rd Ed, , 1970

Supplementary Reading

1 .

O. P. Khanna, Industrial Engineering and Management, Dhanpat Rai Delhi , 1993

2 .

R. N. P. Arogyaswamy, Courses in Mining Geology, Oxford and IBH Pub., 2nd Edition