Document Details

Document Type : Project 
Document Title :
Data Analysis in Mining Engineering
تحليل البيانات فى هندسة التعدين
 
Subject : Data Analysis in Mining Engineering 
Document Language : Arabic 
Abstract : In this book, the techniques of analyzing data for mining engineering are presented. Data analysis would include the following: 1. Geostatistical methods such as variograms, semivariograms, kriging…, etc. 2. Ore reserve estimation using: • Polygon methods. • X-sectional methods. 3. Ore grade distribution using the different methods of statistics. 4. Methods of forecasting and its applications in mining engineering, and that would includes productivity forecast and estimating the age of the mine, forecasting of mineral prices, forecasting of minerals demands, and predicting the manpower needed in the mineral industry. 5. Techniques of cost estimates and their applications in the mineral industry. 6. Deterministic methods and its applications in mining engineering and that would include: • Linear programming. • Dynamic Programming. • Integer Programming. 7. Man power allocations. 8. Underground mine air-quality control deals with: • Mine gases. • Mine dusts. • Determining dilution requirements. 9. Underground temperature & humidity control. 10. Underground mine air-quantity control deals with: • Flow of air through ducts & mine openings. • Instrumentation & air measurements. • Natural & auxiliary ventilation. • Mine ventilation systems. 
Publishing Year : 1428 AH
2007 AD 
Sponsor Name : King Abdulaziz University 
Sponsorship Year : 1428 AH
2007 AD 
Added Date : Wednesday, June 30, 2010 

Researchers

Researcher Name (Arabic)Researcher Name (English)Researcher TypeDr GradeEmail
محمد سعد الجهنيAljuhani, Mohammad SaadInvestigatorDoctorate 

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 27208.docx docx 

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